Congressional Voting on the Underwood Tariff of 1913
Transcription
Congressional Voting on the Underwood Tariff of 1913
Congressional Voting on the Underwood Tariff of 1913: An Econometric Analysis Jonathan S. Epstein Senior Thesis Departments of Economics and History Brandeis University Primary Advisor: Professor Linda Bui Secondary Advisor: Professor Judith Dean Secondary Advisor: Professor Peter Petri History Advisor: Professor Michael Willrich Second History Reader: Professor David Engerman May 8, 2014 2 “It may be a narrow view for me to take, but I am for the people of my district first and the rest of the world afterwards.” -- Kentucky Republican Representative Caleb Powers, September 8, 19131 Abstract The Underwood Tariff of 1913, an initiative of newly elected Democratic President Woodrow Wilson, sought to lower cumulative tariff rates from 20.0% to 8.8%. This fiercely contested bill passed by a margin of 320-195. The question posed by this paper is, Why did congressmen vote for or against the Underwood Tariff? While party affiliation plays a large role, with Democrats favoring passage and Republicans opposing, it is believed that the economic characteristics of a congressman’s state are the primary catalysts in determining voting. This paper tests for three economic models: the Heckscher-Ohlin trade model, an adaptation of the Ricardo-Viner trade model, and a model that proxies for the effect of income taxes. The Heckscher-Ohlin model, which accounts for relative factor endowments, is proven to be the only statistically significant model. Using the Heckscher-Ohlin variable, a Capital to Land ratio for each state, this paper proves that congressmen from states that have agrarian economies support freer trade and congressmen from states that have manufacturing economies support protectionism. 1 Congressional Record. Vol. 50 Part 5. 63rd Congress, 1st Session. September 8, 1913, p. 4545. Woodrow Wilson, “An Address on Tariff Reform to a Joint Session of Congress, April 8, 1913.” In Arthur S. Link, editor, The Papers of Woodrow Wilson, Vol. 27: 1913. Princeton: Princeton University 2 3 Table of Contents Introduction………………………………………………………………………………..4 The Tariff, 1887—1909…………….……………………………………………………..6 The Tariff, 1912—1913……………………………………………………………….…16 Economic Model: Influences.……………………………………………………………26 Economic Model of This Paper………………………………………………………….29 Econometric Model: Influences………………………………………………………….32 Econometric Model of This Paper……………………………………………………….34 Data Summary Statistics………………………………………………………………....37 Regional Breakdown of Data………………………………………………………….…38 Multicollinearity…………………………………………………………………………40 State by State Breakdown of Data……………………………………………………….42 Regression Results……………………………………………………….………………46 Conclusion……………………………………………………………………………….49 Bibliography……………………………………………………………………………..52 Data Sources……………………………………………………………………………..55 Appendix…………………………………………………………………………………56 4 I. Introduction “I have called the Congress together in extraordinary session because a duty was laid upon the party now in power….The sooner that is done… the sooner our men of business will be free to thrive by the law of nature (the nature of free business) instead of by the law of legislation and artificial arrangement.” A month after his inauguration, on April 8, 1913, President Woodrow Wilson, as of yet unencumbered by gunshots across the Atlantic, made the first presidential speech to a joint session of Congress since John Adams did so in 1800. The subject of this unorthodox speech was the tariff question. “We long ago passed beyond the modest notion of ‘protecting’ the industries of the country and moved boldly forward to the idea that they were entitled to the direct patronage of the Government,” Wilson stated. “We have sought in our tariff schedules to give each group of manufacturers or producers what they themselves thought they needed in order to maintain a practically exclusive market as against the rest of the world.” Directly linking the tariff question to the growth of trusts, he continued, “We have built up a set of privileges and exemptions from competition behind which it was easy by any, even the crudest, forms of combination to organize monopoly.” Ever the academic, Wilson linked monopoly to deadweight loss: “Nothing is obliged to stand the tests of efficiency and economy, in our world of big business, but everything thrives by concerted arrangement.” To remedy this, “the object of the tariff duties henceforth laid must be effective competition, the whetting of American wits by contest with the wits of the rest of the world.”2 2 Woodrow Wilson, “An Address on Tariff Reform to a Joint Session of Congress, April 8, 1913.” In Arthur S. Link, editor, The Papers of Woodrow Wilson, Vol. 27: 1913. Princeton: Princeton University Press, 1978), 269-72. It is noteworthy that Wilson advocated a gradual approach to tariff reform, not one of “reckless haste” or “revolution.” 5 Overnight, the Underwood Tariff lowered the tariff rates on numerous products from the rates introduced by the 1909 Payne-Aldrich Tariff, catalyzing immense change in the American economy, from incentives facing American firms and consumers to the revenues collected by the government. In addition to lowering tariff rates, the Underwood Bill also implemented the income tax, which had been made legal by the adoption of the Sixteenth Amendment in February 1913. Tables I and II quantify some of these changes. Table I3 Comparing Revenues From Payne-Aldrich (1909) and Underwood (1913) Effect Payne-Aldrich Underwood Average % of tariff rates, 37% 27% compared to value of all imports Value of Annual Imports Added $147,000,000 to Free List by Underwood Estimated Revenue from Imports $303,000,000 $249,000,000 Estimated Revenue from $37,000,000 $122,000,000 Corporate and Income Taxes Table II4 Reduction in Tariff Rates on Specific Goods from Payne-Aldrich to Underwood Good % Reduction Foodstuffs and Farm Products Nearly 1/2 Raw Wool Free List Woolen Clothing Nearly 2/3 Cotton Clothing 1/3 Sugar Free List (in 1916) Earthenware and Glassware 1/3 Meats, Fish, Dairy Products, Flour, Potatoes, Free List Coal, Iron Ore, Lumber, and many classes of Farm and Office Machinery These tables illustrate how Underwood drastically cut rates and increased the income tax to make up for the lost revenue. Following Wilson’s reasoning, the Underwood bill reduced costs for many goods and deadweight losses from both the economic inefficiency of producing goods in countries with a comparative disadvantage 3 4 “Wilson Signs New Tariff Law.” The New York Times. October 4, 1913. Page A1. Ibid. 6 and from the inefficiency of price increases caused by trusts that are enabled by high tariff walls. Coupled with these benefits were changes highlighted by opponents of Underwood: the loss of profits and jobs in domestic industries that could no longer compete against foreign producers under the lower rates. This was the main, though far from the only, argument against reducing tariffs. President Wilson was explicit and unequivocal in his reasons for supporting the Underwood Tariff. Congress, which passed Underwood by a vote of 320-195, was not as publicly clear in explaining the actions of its members. The question posed by this paper is, Why did congressmen vote for or against the Underwood Tariff? To answer this question, this paper looks at the brief history of the tariff predating Underwood and examines the events leading to Underwood and the issues connected to the tariff in 1913, before deciding upon an economic and econometric model with which to analyze voting on Underwood. II-A. The Tariff, 1887—1909 The first sparking of the tariff debate after the Civil War occurred during Grover Cleveland’s presidencies in the 1880s, along with the associated issues of silver (inflation) and monopolies (the antitrust law debates). Before the 1880s, the fault lines on economic issues occurred more strongly along regional, not party, lines: while some western Democrats campaigned on a call for ‘softer money,’ many Democrats were in favor of hard-money. The Republicans similarly lacked a consensus on inflation, thus “it never became a decisive issue between the parties.”5 The same could be said for the tariff 5 Leon Friedman, “The Democratic Party, 1860—1884,” in Arthur M. Schlesinger, History of U.S. Political Parties, Vol. II, 1860—1910: The Gilded Age of Politics, (New York: Chelsea House, 1973), 887, 903-4. 7 debate before 1887. The election of 1888 was the first presidential election of the era exhibiting an explicit divide on the tariff question. After using the entirety of his annual message of 1887 to push for tariff reform, Cleveland helped pass the Mills Tariff in July 1888, which lowered customs by an average of seven percent and increased the number of goods on the free list. In response, the Republicans nominated Benjamin Harrison, “an ultra-protectionist, on an ultra-protectionist platform.”6 Republicans subsequently sought to raise tariff rates during President Harrison’s term, and in 1890 did so with the McKinley Tariff. Yet the tariff remained such a divisive issue that the McKinley Tariff only passed as a result of compromise involving a tradeoff on the currency issue: “a bargain was made in which western silverites voted for protection and eastern protectionists gave a ‘sop’ to the western silverites” by requiring the Treasury to increase its purchase of silver.7 For the ensuing generation, tariff rates were volatile. New tariff legislation every handful of years caused the rates to repeatedly seesaw higher and lower, as the graph below illustrates. Wilson-Gorman (1894), passed during Cleveland’s second term, lowered rates again. Dingley (1897), passed during the first year of William McKinley’s presidency, raised rates.8 Payne-Aldrich (1909), passed at the beginning of President William Taft’s one term, lowered overall rates, but concurrently raised rates on some goods. Perhaps Friedman’s most enduring reasoning for the swinging of the political pendulum in 1884 is the idea of an “inevitable,” “Hegelian destiny” in which the dominance of one party catalyzes counter-factions, making the idea of a permanent majority impossible (904-5). 6 Paolo E. Coletta, “The Democratic Party, 1884—1910” in Schlesinger, vol. II, 992. 7 Coletta, 993. 8 F. W. Taussig, “The Tariff Act of 1897.” The Quarterly Journal of Economics, Vol. 12, No. 1 (Oct., 1897), 42-69. 8 Graph I Graph created from Lake’s data. The oscillation of tariff rates needs to be placed in the context of the original purpose of tariffs: to raise revenues for the government. As the graph below shows, tariffs accounted for roughly half of government revenue throughout this period. Before the Civil War, tariffs brought it nearly all federal revenue. Reducing tariff rates required either cutting expenditure or raising revenue elsewhere. (Assuming that US import demand was below, not above, it’s point of unit elasticity; i.e. that if tariff rates were reduced, Americans would not consume enough additional imports in order to increase total tariff revenue.) It is noteworthy that even as global trade increased due to technological and other advances during the period, tariff revenues as a percentage of GDP declined from 1880 to 1913. 9 Graph II: Federal Revenue Sources to 1940 Source: U.S. Treasury Department; amended by author. The ostensible catalyst of the post-1887 divide on tariff policy appears to be a Republican-Democratic dichotomy. Republicans passed higher tariffs and Democrats subsequently passed lower tariffs. Economic differences between the regions provide a more compelling answer. Walter LaFeber posits one explanation for an increased appetite for free trade in some regions and sectors: a second industrial revolution, resulting in lower costs of production and a consequent expansion of export capacity. Improved technology, leading to more efficient cotton mills, increased production and led to a drop in the price per pound of cotton from eighteen cents in 1871 to seven cents in 1900. The competitiveness of the South allowed it to export not only across the Atlantic, but to East Asia as well. From 1887 to 1897 exports of textiles to China increased by 120 percent. 10 Southerners even worried that their dependence upon foreign business had become a liability. Naturally, cotton and textile producers exercised their political muscle to protect exports. Producers lobbied with vigor against the 1882 Chinese Exclusion Act, fearing that China would retaliate by restricting U.S. imports. Export industries similarly exerted political influence in lobbying for the creation of an isthmian canal, a generation before the Panama Canal was opened in 1914. Yet while the popular imagination pictures exports as being industrial products or manufactured goods, in 1900 two-thirds of exports were agricultural.9 Just as cotton exporters opposed the Chinese Exclusion Act because they feared the Chinese would impose retaliatory tariffs, many agrarians opposed higher tariffs because they feared European and other countries would impose reciprocal tariffs. Democrats, who were the dominant party in the South, consequently perceived the tariff as favoring manufacturers over farmers. This perception led Governor Wilson to declare at the beginning of 1912, “All the life blood of the country is being drained from the farms into the factories.”10 It is notable that Wilson framed this inequality in terms of sectors, not regions. The Underwood Tariff could not have passed by such a wide margin (320-195) if it was only backed by agrarians. Manufacturers were not uniformly pro-tariff; similarly farmers were not homogenously anti-tariff. The cotton producers of the South were more open to competition than Midwestern farmers who feared competition from Canadian 9 Walter LaFeber, The New Cambridge History of American Foreign Relations: Volume II, The American Search for Opportunity, 1865—1913 (Cambridge University Press, 2013), 23-25. 10 Woodrow Wilson, “An Address on the Tariff to the National Democratic Club of New York, Jan. 3, 1912.” In Arthur S. Link, editor, The Papers of Woodrow Wilson, Vol. 23: 1911—1912 (Princeton: Princeton University Press, 1977), 642. 11 livestock, wool, feeds and other agricultural products. Many wheat growers feared competition from farmers in Canada, Russia and Latin America. Likewise, manufacturers who depended upon imported raw materials, such as pig-iron, favored lower tariffs. The story of Andrew Carnegie is a representative example of how industrialists came to support freer trade. Part of Carnegie’s motivation to enter the steel industry was the tariff of 1870, which protected American steel from foreign competition. At the time, steel producers donated heavily to political candidates. By 1895, Carnegie realized that the U.S. steel industry, no longer an infant industry, was efficient enough to compete without protection. Carnegie flipped his view, advocating that U.S. tariffs be lowered so that other countries would reciprocate and U.S. firms and consumers could obtain raw materials at lower cost. Oil and petroleum products, produced in large part by John D. Rockefeller’s Standard Oil, are additional examples of non-agrarian U.S. exports during the period. 11 Many more forces affected opinions on the tariff. Perhaps the most powerful impetus for higher tariffs caused by LaFeber’s second industrial revolution was the proliferation of national corporations and the subsequent growth of monopolies and oligopolies. Firms in an imperfectly-competitive environment will naturally seek to further reduce competition as much as possible. Both Carnegie and Rockefeller lobbied Congress for specific clauses adding further protections for their industries, albeit their opinions fluctuated at different times during the life-cycle of their firms. The 1894 and 1897 tariffs bear retaliatory clauses specifically against nations who had barriers against American oil. The Sherman Antitrust Act of 1890, meant to curb anticompetitive 11 H. Wayne Morgan, “The Republican Party, 1876—1893,” in Schlesinger, vol. II, 1416-7; LaFeber, 26-36. 12 behavior, had a meager de facto effect in its first decade.12 With only a few domestic producers in an industry, the opportunity to collude was a low-hanging fruit: “If a few vendors of a particular product conspired to fix its price even one cent below the foreign import price, they could continue to monopolize the domestic market and share the wealth among themselves.”13 The carton below from The New York World portrays the expectation of favoritism by large industries. Image I: The Panhandlers: Cotton, Wool, Sugar, Steel (1913) Source: Arthur S. Link, Wilson: The New Freedom (Princeton: Princeton University Press, 1956), 184. One ostensibly unlikely catalyst for voting for free trade was the dependence of some American firms on Europe for capital during this period. 12 13 LaFeber, 21, 27, 38. A. Scott Berg, Wilson (New York: G. P. Putnam’s Sons, 2013), 295. 13 Table III: National Creditors and Debtors, July 1, 1914 (in billions of $) Capital Exporters Capital Importers Country Amount Country Amount United Kingdom 18.0 United States 7.1 France 9.0 Russia 3.8 Germany 7.3 Canada 3.7 United States 3.5 Argentina 3.0 Netherlands 2.0 Austria-Hungary 2.5 Belgium 1.5 Spain 2.5 Switzerland 1.5 Brazil 2.2 Mexico 2.0 India and Ceylon 2.0 South Africa 1.7 Australia 1.7 China 1.6 Other 2.2 Other 11.2 Total 45.0 Total 45.0 Source: Mira Wilkins, The History of Foreign Investment in the United States to 1914 (Cambridge, MA: Harvard University Press, 1989), 145. The table above shows that the U.S. in 1914 was a net importer of capital, to the tune of $3.6 billion. American growth was tied to its ability to import capital: “By the turn of the century, the [U.S.] had become the world’s foremost industrial giant…. U.S. economic growth had been assisted over the many decades by the sizeable contributions of foreign investors….equal to almost 20 percent of U.S. gross national product. No country in the 14 world had attracted greater foreign investment.”14 This partially explains the mixed feelings in the East toward freer trade. Without these investments, many industries would never have been able to get off the ground. Americans could only bite the hand that fed them, by slapping high tariffs on their products, for so long without risking capital flight.15 Jay Sexton has shown in the context of US government debt purchases, the owners of capital in London often exerted immense influence over Parliamentary decision-making. Often, large owners of capital were members of Parliament.16 This theory has considerable supporting evidence. Since the first transatlantic telegraph cable in 1858, Europe had kept a close watch on internal American affairs. On the same day that The New York Times reported on Wilson’s signing of the tariff bill, it reported on “British praise for Wilson.” A London newspaper, The Daily Chronicle editorialized that “No more remarkable man has reigned at the White House since Abraham Lincoln.” After praising Wilson’s intellectual and character genius, The Chronicle chided Theodore Roosevelt: “[Wilson’s] calm strength and definiteness of aim contrast strikingly with the boisterous energy and assertive egotism of Roosevelt.”17 When choosing among a plethora of national markets to invest in, but with a dearth of perfect information with which to compare investment opportunities on the fundamentals, London investors surely judged the character of the nation. Wilson’s reduction of tariffs and his character traits, including his leadership of the Anglophilic institution of Princeton, endured American firms and national debt to London investors. 14 Mira Wilkins, The History of Foreign Investment in the United States, 1914—1945 (Cambridge, MA: Harvard University Press, 2004), 4-5. 15 Lance E. Davis and Robert J. Cull, International Capital Markets and American Economic Growth: 1820—1914 (Cambridge University Press, 1994), 50-61. 16 Jay Sexton, Debtor Diplomacy: Finance and American Foreign Relations in the Civil War Era, 18371873 (Oxford University Press, 2005), 1-10. 17 “British Praise for Wilson.” The New York Times. October 4, 1913. 15 Philosophical ideas and cultural norms can also be seen as having an influence in pushing Americans toward freer trade. One explanation of the South’s support for freer trade is that after the federally imposed loss of states’ sovereignty caused by the thirteenth amendment and Reconstruction, the South reflexively supported small government. Laissez-faire was a natural outgrowth of this ideology. Another idea potentially pushing Americans in the direction of freer trade and an expanded global role was the concept of Social Darwinism. In this telling, America was destined to succeed in a world ruled by the law of survival of the fittest, both politically and economically. Even Frederick Jackson Turner, the father of the Frontier Thesis, subscribed to this idea. This explanation fits well with the imperialistic role championed by Republican Presidents William McKinley and Theodore Roosevelt (1897—1909), even though they were protectionists. Comparing themselves to the social unrest in Europe, American industrialists preferred “evolution rather than revolution.” This theory lines up with Wilson’s statement that it was necessary to “abolish everything that bears even the semblance of privilege or of any kind of artificial advantage, and put our business men and producers under the stimulation of a constant necessity to be efficient, economical, and enterprising, masters of competitive supremacy, better workers and merchants than any in the world.”18 Another interpretation of tariff policy is through an international relations prism. David Lake argues that America’s tariff policy mirrors its engagement with the rest of the world and that the systemic-level theory of hegemonic stability explains America’s move toward free trade around WWI. In Lake’s telling, after the Civil War, America largely turned its back to the rest of the world, limiting its foreign engagement and enacting 18 LaFeber, 38, 40-41; Berg, 292-94. 16 protectionist tariff policies. Near the end of the century, America quickly became more active on the international scene, but only within its hemisphere and enacted lower tariff rates. A year before WWI, America introduced its most liberal tariff bill in Underwood.19 II-B. The Tariff, 1912—1913 Wilson was a rare politician: the impetus for his legislation came not from the desire to support his supporters or constituents, but from a unique sense of progressive idealism. This idealism manifested itself in a number of accomplishments, including the creation of the Federal Reserve System (1913), appointment of Louis D. Brandeis to the Supreme Court (1916), passage of the nineteenth amendment enfranchising women (1920). In 1913, Wilson was full of energy and rich in congressional allies. He was an epoch away from his defeat over the Treaty of Versailles and Democratic Oklahoma Senator Thomas Gore’s observation that “Wilson had no friends, only slaves and enemies.”20 Wilson was an honest and ethical politician. In 1912, he ordered his campaign finance chairman, Henry Morgenthau, to “accept no money from anybody who expected a favor in return or from any corporation, even indirectly.” Wilson favored small-donors: 90,000 individuals donated an average of $12.34 each. In contrast of the Republican National Committee’s $2 million budget in 1904 (during Roosevelt’s first election contest), three-fourths were donated on behalf of corporations. Approximately $375,000 alone emanated from J.P. Morgan, John D. Rockefeller, E. H. Harriman and Henry Clay 19 David A. Lake, “International Economic Structures and American Foreign Economic Policy, 18871934.” World Politics. Vol. 35:4 (July 1983), 517-543. 20 Berg, 5. 17 Frick.21 Campaign finance played a role in other Progressive era races as well.22 Wilson however, was not representative of Congress. At the end of this section, a surmising of comments made during the Congressional debate on Underwood exemplifies this. However, numerous political scientists have pointed out the simultaneous causality bias inherent in these types of donations. Donors are only likely to contribute to politicians whose legislative views line up with their own in the first place. It is less likely that donors manage to change the views of politicians. While candidates who received greater special interest donations were likelier to win, the magnitude of this effect is unclear. Complicating the matter further, 1912 was a year of blurred party lines and allegiances. While the Progressive Party did not have a strong congressional foothold, it had a sizeable effect on the 1912 presidential campaign. The Progressive platform charted a middle ground on tariff policy, blaming tariffs for raising the cost of living, an issue that ranked near the top of the platform, while concurrently citing the need for protection of American firms. The plank equivocally stated, “We believe in a protective tariff which shall equalize conditions of competition between the United States and foreign countries, both for the farmer and the manufacturer, and which shall maintain for labor an adequate standard of living.” The plank called for a downward revision from the current rates under Payne-Aldrich. Yet it warned against Democratic intentions: “The Democratic party is committed to the destruction of the protective system through a tariff for revenue only—a policy which would inevitably produce widespread industrial and 21 Berg, 239, 243. Paul Baker, Curbing Campaign Cash: Henry Ford, Truman Newberry, and the Politics of Progressive Reform (University Press of Kansas, 2012), 1-12, 41- 64. Campaign finance laws existed de jure, but in practice were regularly flouted. 22 18 commercial disaster.”23 This complication of the Democratic—Republican dichotomy, and the level of support for a new third party, evidences the protean nature of party lines in the period, particularly in comparison to the consistency of regional alliances. The graphs below illustrate a strong degree of heterogeneity within regions, and the state-bystate tabulation of voting in the appendix reiterates the same point on a state-level. The characteristic of party allegiances that did not conform to regional or state boundaries was also present in congressional elections, as shown in Graph VII. South 0 0 10 20 20 40 30 60 40 Graphs III-VI: Regional Voting for President, 1912 North mean of Wilson mean of Taft mean of Wilson mean of Taft mean of Roosevelt mean of Debs West 0 0 10 10 20 20 30 30 40 40 Midwest mean of Roosevelt mean of Debs mean of Wilson mean of Taft 23 mean of Roosevelt mean of Debs mean of Wilson mean of Taft mean of Roosevelt mean of Debs The Progressive Party. “Progressive Platform of 1912,” in Arthur M. Schlesinger, History of U.S. Political Parties, Vol. III, 1910—1945: From Square Deal to New Deal, (New York: Chelsea House, 1973), 2584-95. 19 Source: Statistical Abstract, 1913 0 .2 .4 .6 Graph VII: Congressional Party Affiliation in the Northeast, 1913 mean of Democrat mean of Republican Source: Bibliographical Directory of the United States Congress, 1774-Present Note: There are three Northeast Progressive congressmen not shown here. These graphs illustrate that there was no set-it-stone, preconceived notion of uniform regional or state party allegiance in 1913. It is noteworthy that the South is strongly pro-Wilson and pro-Democratic, but is still not completely homogenous. The rest of the country is highly divided. A more plausible explanation for differences in voting on Underwood is that congressmen focus on net export differences in their state. The graph below charts net export differences across regions in 1913. The graph below shows that the Gulf Coast region had the highest trade surplus of any region. The Atlantic Coast though had a larger export business. 20 Graph VIII. Net Export Differences Across Regions, 1913 4:77$ !"#$%&'()#$*+,")"-."/$0.)(//$ 1"2+(-/3$4546$ 4977$ 4877$ 4777$ ;77$ %&'()#/$ :77$ IJ'()#/$ 977$ 877$ 7$ 0#<=->.$ @A<B$?(=/#$ C"&+.=-$ ?(=/#$ D()E")$ F=.+G.$ ?(=/#$ !()#H")-$ K(A)."L$M+/#()+.=<$K#=>/>./$ 44$ D()E")$ (B$#H"$NK3$'O$;5:$ Note: Measured in millions of dollars Contemporaneous economist Frank Taussig points out that no one advocated free trade. Rather, the Republicans demanded that tariffs be high enough to “equalize[e] cost of production,” while the Democrats wanted tariffs low enough to spark competition—a “competitive tariff.” In his telling, the principle behind both sides’ stance is “is that of enabling the domestic producer to compete on even terms with the foreign producer.” Yet both sides did not elucidate on how they practicably and quantitatively defined these terms. The difference is that Republicans desired “reasonable profit” for domestic producers, while Democrats’ competitive tariff required little or no profit.24 Hence, Underwood—written by and passed by Democrats—only lowered average tariff rates from 40% to 25%, rather than wholly abolishing them. Taussig evidences the significance 24 F. W. Taussig, “The Tariff Act of 1913.” The Quarterly Journal of Economics. Vol. 28, No. 1 (Nov. 1913), 1-30. Taussig concludes that the two are more similar than different, because both ensure that domestic firms have an advantage over foreign firms. 21 of the Underwood Tariff in stating that it will force many firms out of business. He highlights the sugar industry, whose tariff was set to be wholly abolished by 1916, as an example: “Tho the producers in Louisiana and in the beet sugar states have exaggerated their dependence on protection…it would seem that in fact most of them are not able to meet foreign competition on equal terms.” Taussig fine-tunes this point to conclude that the more inefficient firms will close, while the more competitive firms will adjust and survive.25 He also points out that the income tax is expected to make up for the lost customs revenue. Taussig notes that sugar producers will wait until the reduction takes full affect in 1916, praying that in the interim the Democrats lose control of the Presidency, Senate and House, and that the act is repealed. Sugar producers will not make any adjustments between 1913 and 1916, and be equally ill-prepared then for competition. Ultimately, Taussig concludes that the main catalyst behind voting patterns on Underwood was party affiliation, with Democrats lining up behind Wilson, and Republicans nearly uniformly opposed.26 However, it seems that Taussig oversimplifies to achieve the conclusion that party is the only important variable. Other economists have created models attributing tariff voting to economic interests; it seems unlikely that Underwood would be an exception to these models. Rather, it seems likelier that congressmen lined up by party, but only so far as their party’s ideology lined up with their own district’s perceived economic interests. 25 Taussig, 11, 16. The Congressional Record shows some Congressmen advocating for unbridled free trade, and Arthur Link’s biography of President Wilson attributes the same free-trade ideology to him. So, why then does Underwood stop at a 15% reduction in the tariff? The answer is politics—Wilson and Underwood pragmatically sought to achieve the achievable, rather than fight a Sisyphean battle. However, a fascinating historiographical question is whether Wilson viewed Underwood as not an end in of itself, but as a first step toward free trade. My answer, based on evidence from the Congressional debate and Wilson’s biography, is the latter. 26 22 A sample of arguments made during the Congressional debate by senators from both parties evidences the importance of local economic interests. Kansas Republican Senator Joseph Bristow called for a tariff of 10% on cattle “to do as well by the cattle producers of our country.” He added, “not satisfied with putting the products of the farmer on the free list, the framers of this bill now propose to put the products of the farmer’s wife on the free list. They not only invade the wheat fields and the herds, but they rob the henhouse as well.”27 Idaho Republican Senator William Borah stated, “it was the deliberate design, as I understand, of the framers of this bill to kill the wool industry.”28 Idaho Republican Senator James Brady argued: “We are not here to beg for a prohibitive tariff on lead. We do not even suggest this, but we are asking that you do not destroy an industry that furnishes employment to thousands of men and pays the highest known wage to mining men in the world and that does not permit foreigners to supplant the American workingman in American mines. Idaho stands out preeminently as a State that is inhabited by exceptionally industrious and law-abiding people. The statistics of the last census show 29 that 98.1 per cent of our entire population are white and that only 2 per cent are illiterate.” New Hampshire Republican Senator Jacob Gallinger defended the need for protection for the shipping industry by highlighting how foreign subsidies created an unbalanced competition: “It may be said in passing that when Great Britain and other foreign nations secured the commercial agreements to which I have alluded, they very cunningly nullified to a large extent their obligations under the agreements by granting subsidies to their vessels engaged in the foreign trade.”30 Kentucky Republican Representative Caleb Powers argued for the needs of farmers: “It may be a narrow view for me to take, but I am for the people of my district first and the rest of the world afterwards.”31 27 Congressional Record. Vol. 50 Part 5, Pages 4117-5138. 63rd Congress, 1st Session. Sept. 3-Sept. 18, 1913. p. 4550-52. 28 Congressional Record. 8 September 1913. Page 4436. 29 Congressional Record. 8 September 1913. Page 4444. 30 Congressional Record. 8 September 1913. Page 4449. 31 Congressional Record. 8 September 1913. Page 4545. 23 Democratic Senators demanded protection for their industries as fervently as the Republicans. Georgia Democratic Senator Augustus Bacon demanded more protection for diamonds: “There is one feature of the rate of duty on diamonds which I think has always been improper- it was improper in the Payne-Aldrich law and I think it is Improper in this bill-and that is the difference which is made in the rate of duty on uncut and on cut diamonds.”32 Georgia Democratic Senator employed metaphors to argue for protection for agricultural machinery: “I have felt that we could not afford to go as far as I would like to see the law go lest serious injury would affect those industries, in view of the position they have occupied in the past…. I believe It will help industries to take them out of the hothouse. You can not take a plant out of a hothouse instantly and put it where it is exposed to the weather. You must do it by degrees.”33 Many economists have done empirical studies on the question of what motivates congressmen to vote for or against tariff reduction bills. Economic historian Douglas A. Irwin argues that during the tariff debate of 1888, a major reason Democrats supported lower tariffs was their desire to lower taxes on farmers and consumers, while Republicans supported higher tariffs because they sought to protect American manufacturers from competition and maintain the current wage rates for laborers. A second catalyst behind the parties’ respective positions, and the focus of Irwin’s article, is their views on whether higher tariffs would increase or decrease tariff revenue. The government was running a surplus in 1888 and both parties sought to reduce revenue. The Democrats sought to reduce tariff rates to accomplish this, while Republicans believed the opposite, that raising tariff rates would reduce revenue. To decide who was correct Irwin estimates the price elasticity of US import demand and determines that a reduction in tariff rates would 32 33 Congressional Record. 8 September 1913. Page 4421. Congressional Record. 8 September 1913. Page 4436. 24 reduce revenues.34 However, the US budget surplus disappeared around the early 1890s, causing the tariff debate to refocus on the merits of which interest groups won and lost from protection. When a reduction in tariffs threatened to cause deficits, the debate dealt with whether and to what extent the income tax should be used to substitute for lost revenues. Other economists have developed generalized models to analyze congressional voting on trade policy. Grossman and Helpman argue that contributions made by special interests play a key role in determining voting. Just as important is the effect of a change in trade policy on a congressman’s constituents, both in terms of the effect on production (whether a home industry expands or contracts), and in terms of the price of the basket of goods consumers purchase relative to income. Their model differs from other models in its assumption that the views of congressmen can be swayed by contributions. Other models take congressmen’s views on trade policy as fixed, and assume that special interests donate to their preferred candidate in order to sway elections and obtain their preferred outcome.35 George Stigler’s model assumes that incumbent congressmen ascertain which interests in a trade debate are ‘strongest’ and base their decision on the criteria of maximizing their political support, without explicit regard to future elections or rival politician’s positions.36 A final metric in determining where a congressman lined up on trade policy was his views on other issues. The first three planks of the 1912 Democratic Platform were 34 Douglas A. Irwin. “Higher Tariffs, Lower Revenues? Analyzing the Fiscal Aspects of "The Great Tariff Debate of 1888." The Journal of Economic History, Vol. 58, No. 1 (Mar. 1998). 35 Gene M. Grossman and Elhanan Helpman, “Protection for Sale.” The American Economic Review. Vol. 84, No. 4 (Sep., 1994), 833-850. 36 George J. Stigler, “The Theory of Economic Regulation.” The Bell Journal of Economics and Management Science, Vol. 2, No. 1 (Spring, 1971), 3-21. 25 economic: Trusts, the Tariff and Currency. The Planks explicitly linked the first two issues. Under Trusts, it stated that trusts “have undoubtedly been bred and nurtured and made secure by the tariff, and a proper revision of the tariff, in the interest of free business and industry of every kind, will do a great deal towards weakening and ultimately destroying their power.” To supplement the reduction of tariffs, the plank pledged “to pass such laws both civil and criminal, as will effectually punish and prevent them.” The plank explicitly called out the “vast confederacies of banks, railways, manufacturing corporations, mining corporations, packing companies, power and development companies, and the like.” Noticeably there is no mention of agrarian industries. On the Tariff, the Platform states, “We declare our earnest opposition to the present protective tariff, and denounce the Payne-Aldrich Act as the most conspicuous example ever afforded the country of the special favours and monopolistic advantages which the Republican party has always shown itself willing to extend by legislation to those to whom it looked for financial support….the only legitimate object of such taxes…is to raise revenue for the support of the government. Tariff duties, as employed by the Republican party, are not a means of equitable ‘protection’ but a method of fostering special privilege. They have made it easy to establish monopoly in our domestic markets.” The Platform further called for the creation of the Federal Reserve System (without explicitly saying so), the direct election of senators, direct primaries, more open (but not completely open) immigration laws, and labor protections (such as regulating length of workweeks and factory safety).37 37 Unnamed, “Planks for a Democratic Platform: c. June 16, 1912.” In Link, Arthur S., ed. The Papers of Woodrow Wilson, Vol. 24: 1912 (Princeton: Princeton University Press, 1977), 477-81. 26 III-A. Economic Model: Influences As demonstrated in the preceding section, there are a multitude of historical reasons that explain why U.S. congressmen voted for or against freer trade in 1913. This section develops an economic model that reflects components of these explanations. In the following sections, the data and econometric model of this paper will be described, and its hypotheses subsequently tested. The economic model of this paper is structurally based on and theoretically influenced by that of Baldwin and Magee (2000),38 who set up a model to analyze congressional voting on three 1990s trade bills: NAFTA, GATT and Most-FavoredNation (MFN) status for China. The Baldwin-Magee model is straightforward: each congressman seeks to optimize his odds of reelection, and uses his voting power accordingly. This is accomplished in two ways: by optimizing the economic welfare of his constituents, and by optimizing the economic welfare of contributors to his campaign.39 These two goals are sometimes complementary, but also can clash. Focusing first on the goal of maximizing constituent welfare, Baldwin-Magee employs two trade models, the Heckscher-Ohlin (H-O) trade model and an adaptation of the Ricardo-Viner (R-V, or specific factors) trade model that provide differing predictions on which constituents will benefit or lose from free trade, and which concomitantly use different variables to make these predictions. In the H-O model, factors of production (such as labor, capital and land) that are relatively scarce lose from free trade, while relatively abundant factors benefit. When free 38 Robert E. Baldwin and Christopher S. Magee, “Is Trade Policy for Sale? Congressional Voting on Recent Trade Bills.” Public Choice. Vol. 105, No. 1/2 (2000), 79-101. 39 This is in line with the Helpman support model of political contributions. This contrasts with the opposing model which views politicians as having predetermined their votes, and contributors choose which politician to support. 27 trade occurs, goods and services produced by the more abundant factor will be in even higher demand, and thus the abundant factor itself will be in higher demand. The supply of the abundant factor is fixed, so the equilibrium price (or wage) paid for the abundant factor rises. The reverse happens for the scarce resource: demand shrinks, while supply is fixed, so its price falls. For this to work, in the long-run all factors are assumed to be mobile. Because a factor can move between industries without material cost, the industry in which it is currently employed does not matter. Even if a factor is employed in an industry that is expected to lose from free trade, if that factor is relatively abundant, it will be able to move to a growing industry and benefit.40 Baldwin-Magee focuses on the divide in the labor market between skilled and unskilled labor. The model predicts that because the US has a relative scarcity of unskilled labor and a relative abundance of skilled labor, the wages for unskilled labor will fall, and the wages for skilled labor will rise. Thus, variables that are proxies for unskilled labor will be negatively correlated with voting for NAFTA, GATT and MFN for China. Baldwin-Magee predicts that Congressmen whose districts have lower levels of education and per-capita income and increases in unionization41 will be less likely to vote for free trade. While the Ricardo-Viner model evolved from the H-O model and bears similarities to it, there is a key difference. R-V holds that, at least in the short-run, (this could well be the relevant time horizon for congressmen), some factors of production are fixed (immobile), meaning that they are tied down in a specific industry. Physical capital is difficult to repurpose in the short-run. Labor is more complex: while laborers often develop sector-specific skills, they are considerably more mobile than capital, and are 40 A caveat: all factors will move toward the expanding, exportable industry. The abundant factor simply benefits the most, thus it is the ‘winner.’ 41 In the 1990s, unionization was positively correlated with low-skilled workers. 28 treated as mobile in the standard R-V model. The relevant question in R-V, for the owners of fixed factors of production (usually capital), is whether a specific industry will expand or contract from free trade. One way to exemplify R-V’s potential outcomes is to create a model with two industries owned by two separate owners of capital, KA in Industry A and KB in Industry B, and a homogenous group of Labor (L). When free trade occurs, industry A will sell more products abroad and expand; industry B, faced with more efficient foreign competitors, will sell fewer products at home and nothing abroad, and shrink. When A and B expand and shrink, respectively, it is the owners of capital who are affected, because they cannot repurpose their capital (they have high fixed, sunk costs), while labor is mobile and can move to the expanding industry. L’s outcome depends on what laborers consume—if their consumption bundle (the basket of goods they, as consumers, purchase) becomes more expensive, they lose; if it becomes cheaper, they gain. If they consume more of the exportable product, they lose, because the price of their consumption bundle rises more than nominal wages rise, so real wages decline. If they consume more of the importable good, they gain, because its price falls and nominal wages rise. 42 Baldwin-Magee makes a key adaptation to the R-V model: while standard R-V assumes that labor is mobile, Baldwin-Magee’s adaptation of R-V treats labor as fully- 42 Consumers are often classified into two categories: those who spend a majority of income on food, and those that spend a majority of income on manufactured products. In another paper, I argue that the French Revolution reached its point of no return not because of the actions of power hungry noblemen, but because of rioting working-class men. In the 1780s, the price of all goods rose because of inflation, but so did wages. However, the price of bread, on which the working classes spent up to 90% of their income, (cite source) rose exponentially faster than prices of other goods and wages. (To be fair to King Louis XVI, a large portion of the increase in bread prices can be attributed to meteorological bad luck, namely a series of droughts leading to low crop-yields.) 29 fixed.43 What matters most for both capital and labor in this adapted model is whether the industry in which each is employed grows or shrinks as a result of free trade. To measure this, Baldwin-Magee includes variables measuring employment in specific industries. It predicts that Congressmen whose districts have high levels of employment in industries that expand with freer trade—those that have high export ratios—will support it, and vice versa. For Congressmen to optimize the economic welfare of their campaign contributors they must know whether campaign contributors support or oppose free trade.44 Baldwin-Magee uses the H-O model to predict that labor PACs, which in the 1990s mostly represented low-skilled labor, oppose free trade; at the same time, business PACs who donated are assumed to support free trade, on the assumption that capital is an abundant resource compared to capital in Mexico and Canada. III-B. Economic Model of This Paper This paper’s economic model incorporates Balwin-Magee’s dual use of the H-O and R-V models, while also changing a number of components, to interpret how congressmen seek to optimize the economic welfare of their constituents. The key difference for H-O is in which relative factor endowments are competing with each other. While in the 1990s Baldwin-Magee’s H-O model tests for a dichotomy between skilled labor and unskilled labor, this paper’s H-O model for 1913 tests for a dichotomy between 43 Baldwin-Magee makes the assumption that Labor is fully-fixed, but does not empirically prove it. It could have done so by using a labor mobility measure to determine how mobile labor is (it is not a binary) and thus whether labor is best described as lining up by consumption bundles or by industry in which it is employed. To measure this, real wages could be used to determine purchasing power after price changes resulting from changes in tariffs. (Judith Dean, February 15, 2014.) 44 Working under the assumption of reciprocity, that if Congress imposes tariffs, other countries will reciprocally place tariffs on American exports. 30 two other factors of production: capital and land. The prediction is that congressmen from states that are land abundant will favor Underwood, and that congressmen from states that are capital abundant will oppose Underwood. This prediction is based on the historical evidence that agriculture was primarily a competitive, heavily exporting sector, while manufacturing was mixed in its desire for protection. In line with this prediction, in debates on the Underwood Tariff congressmen often stated or suggested that Europe was capital abundant relative to land compared to the U.S., and that the U.S. was land abundant relative to capital compared to Europe. The inequalities for this are: KE/LE > KA/LA and LA/KA > LE/KE where the subscripts E and A respectively stand for Europe and America.45 While Baldwin-Magee’s R-V model tests for the effects of employment in a number of industries, this paper’s R-V model aggregates many industries into one of two sectors: agriculture or manufacturing. This model predicts that congressmen from states with high levels of employment in agriculture will favor Underwood, while congressmen from states with high levels of employment in manufacturing will oppose Underwood. The reasoning, that agrarians favor free trade more than manufacturers, is the same reasoning underpinning H-O. In addition to the H-O and adapted R-V models, this paper’s economic model incorporates a third influence that is unique to 1913: the income tax effect. Passage of the Underwood Tariff was tied to implementation of the income tax. The reduction in government revenues from a cut in the tariff would necessitate an offsetting raise in the income tax. The income tax in 1913 only affected the highest-earning sliver of the 45 The form for this H-O inequality is from Robert E. Baldwin, “Determinants of the Commodity Structure of U.S. Trade,” The American Economic Review, Vol. 61, No. 1 (Mar., 1971), 126-146. Europe can also be taken to stand for the rest of the world. 31 population. The model predicts that congressmen from states with the highest proportion of high-income earners will oppose Underwood. Campaign contributions are not included in this paper’s model. The data on campaign contributions does not exist for this period. Yet the exclusion of campaign contributions from this model theoretically should have a statistically insignificant effect on the model’s internal validity—it is not a part of the H-O or R-V theory. In 1913, campaign contributions and expenditures were significantly smaller than those of the 1990s when Baldwin-Magee formulated their model. The efforts of congressmen to optimize the economic welfare of campaign contributors is not included in this paper’s model. There are two reasons why campaign contributions are not included. First, the influence of contributors had a significantly smaller magnitude in 1913 versus in the 1990s. Second, the data on campaign contributions do not exist for this period. An additional key difference between this paper’s model and Baldwin-Magee’s is that while Baldwin-Magee have district level data, this paper incorporates data at the state level. Baldwin-Magee’s model gives each congressman equal weight, because the goal is to determine which variables affect individual congressmen’s votes. This model gives each state equal weight, because the goal is to determine which variables affect the vote of the congressional delegation of a state, as a whole. The results from Baldwin-Magee indicate that factor abundance or scarcity is generally more significant than the industry in which it is employed. Therefore, the H-O model is found to be more relevant than the R-V model in the 1990s. Before running any 32 regressions it is unclear whether the abundance or scarcity of a factor, the industry in which it is employed, or the income tax effect, will be most important. IV-A. Econometric Model: Influences From their political economy framework, Baldwin-Magee states that the two relevant groups of variables to measure in a regression are those that measure constituency characteristics and the magnitude and type of campaign contributions. For the dependent variable, if a Congressman votes for a bill, and thus for free trade, the value is ‘1.’ A no vote, against free trade, is assigned as ‘0.’ Due to the correlation between voting yes for one trade bill and voting yes for the others, and the consequent correlation of residuals (error terms), Baldwin-Magee uses FIML (full information maximum likelihood) estimation. To abbreviate the equation, Baldwin-Magee uses three vectors: one vector captures all variables measuring constituency variables, one vector measuring campaign contributions from labor, and one vector measuring campaign contributions from business. Within the constituency vector, Baldwin-Magee includes variables measuring within each congressional district the proportion with no high school degree over age 25, the proportion with a high school degree but with no college degree, the per-capita income, the unionization rate, and the unemployment rate, to capture the H-O effect.46 If a congressman’s district has a relatively high proportion without a high school degree, a relatively low per-capita income, and a high unionization rate, this would indicate that the district has an abundance of low-skilled labor (while the U.S. as a whole in the 1990s is 46 Baldwin-Magee also measures the proportion of the population that is Hispanic, only for the NAFTA vote. 33 assumed to have a scarcity of low-skilled labor compared to its NAFTA trading partners). Under the H-O model, this district’s congressman is predicted to vote against free trade, because his district is predicted to see the value of its scarce resource decline. The opposite is true if the constituent variables have relatively opposite values, for symmetric reasoning. Within the same vector, Baldwin-Magee includes a variable called ‘export ratio’ to measure the adapted R-V effect. This variable measures employment in export manufacturing industries divided by employment in import-competing manufacturing industries in each district. To define export and import-competing manufacturing industries, Baldwin-Magee compiles data on employment in each district in a number of industries, and calculates whether each industry is net exporting or importing. To calculate each district’s export ratio, Baldwin-Magee divides employment in export industries by employment in import-competing industries. In the adapted R-V model both labor and capital are fixed in the industries in which they begin. Constituents will prefer freer trade if the district has a relatively high export ratio, as the price of the good they are producing will rise, and consequently the marginal product of both labor and capital will rise, leading to higher rents on capital and higher wages for labor. The opposite will happen for districts with a relatively low export ratio. (Baldwin-Magee then tests R-V with many variables measuring employment in various industries, rather than the single export ratio variable.) Within the two vectors measuring campaign contributions from labor and business, Baldwin-Magee has variables measuring labor and business group contributions (in thousands of dollars) from 1991-92. According to H-O, congressmen with relatively 34 high levels of business contributions are expected to vote in favor of free trade, and those with relatively high levels of labor contributions are expected to oppose it (because labor contributions often represent low-skilled labor). Within these vectors Baldwin-Magee also includes variables measuring the rankings of congressmen by various ideological groups, to ascertain how closely congressmen align with their ideological interests in general, with a higher rating equal to a closer alignment. The ideological rankings included were produced by the American Conservative Union, AFL-CIO, National Security Council, Chamber of Commerce, and League of Conservation Voters. Finally, Baldwin-Magee uses a Haussmann test to test for endogeneity, or correlation between the error term and any of the independent variables. The equation Baldwin-Magee uses is: Pr(Y = 1|X1, X2,…., Xk) = Φ(β0 + β1X1 + β2X2 + … + BkXk) in which Y=outcome of voting on NAFTA, GATT or MFN with 1=yes and 0=no; Φ= the cumulative standard normal distribution function; X1= district unemployment rate, 1990; X2= district per-capita income, 1990; X3= fraction of district population age 25+ with no high-school degree, 1990; X4= fraction of district population age 25+ with no college degree, 1990; X5= Party (1=Democrat, 0=Republican), and X6…N=district employment in various industries and the other variables mentioned above. IV-B. Econometric Model of This Paper This paper uses a different econometric model from Baldwin-Magee, beginning with the type of regression used: Ordinary Least Squares (OLS), instead of probit. OLS provides a simpler and better fit for the data, and allows the dependent variable to be 35 changed from the probability of an individual congressman voting for Underwood to a variable measuring the proportion of a state’s congressmen voting for Underwood (with variable name “Underwood”). The coefficients on the independent variables are also easier to measure: they simply measure the effect, positive or negative, of an increase of one unit of the variable on the dependent variable. By choosing a state-level proportion instead of a binary 1 or 0 probit measuring the vote of individual congressmen, the model is better formed to answer questions examining aggregate data of past events. To measure the H-O effect, one variable is included: a state’s capital stock in 1905 divided by its land (“KL”).47 To measure the R-V effect, two variables are included: percentage of a state’s labor force employed in agriculture, forestry and animal husbandry in 1910 (“Agg”), and percentage of a state’s labor force employed in manufacturing and mechanical industries in 1910 (“Man”). To measure the income tax effect, one variable is included: each state’s per capita income in 1929 (“PCI”). To control for party affiliation, one variable, the percentage of a state’s congressmen who are Democrats (“Dem”) is included. The following table concisely displays this information, along with information on units, year, and source. Table I: Variables in Regression Variable Explanation Underwood Proportion of state’s congressmen voting for Underwood Dem Proportion of state’s congressmen affiliating as Democrats 47 Unit % Year 1913 Effect Dependent Variable Source % 1913 Party Bibliographical Directory of the United States Congress Congressional Record, 1913 This variable is then scaled down by a factor of 1/1,000 so that the coefficient’s effect is more easily understood. This has no impact on the statistical significance of the variable. 36 K Capital Stock $ L Land Mi2 KL Agg K/(L*1,000) Labor force employed in agriculture, forestry or animal husbandry Labor force employed in manufacturing and mechanical industries Per-capita income $ / Mi2 % 1905 1910 H-O R-V % 1910 R-V Ibid. $ 1929 Income tax St. Louis Federal Reserve (FRED) Man PCI 1905 H-O H-O Statistical Abstract, 191003, no. 111 Statistical Abstract 1913-02, no. 1 Ibid. 1910 Census, Vol. 4: Population. Ch. 1, p. 45. Note: all variables are state level A note on data: 1905 and 1910 are the last years prior to WWI for which data is available respectively for capital and for sector employment breakdowns. 1929 is the first year for which state level per capita income is available. On first glance, this appears problematic. However, the matter of importance to the statistical regression is not the absolute value of these economic indicators, but rather the relative quantities of each in one state compared to the other forty-seven states. While capital stocks in 1905 are different from those in 1913, and income levels are different in 1913 versus 1929, relative differences between states likely are roughly constant. The year 1929 is ostensibly problematic as well; however the shock of the Crash occurred with roughly equal effect across the 48 states. There are small discrepancies: capital stocks likely grew more quickly between 1905 and 1913 in “developing” western states than in more developed eastern states, and the stock market crash likely hit New York harder than other states, but these discrepancies likely have limited statistical significance. The equation measured is: Underwoodi = β0 + β1Demi + β2KLi + β3Aggi + β4Mani + β5PCIi + εi 37 This is the standard form of an OLS regression, with each β signifying the effect of an increase of one unit of the variable for which it is a coefficient on the dependent variable, the percentage of a state’s congressmen voting for Underwood. β0 is the constant, ε is the error term, and the subscript i denotes the particular state. V-A. Data Summary Statistics In order to describe the range of values the variables take in the dataset, a table of summary statistics is displayed. Table II: Summary Statistics Variable Obs Mean Std. Dev. Underwood 47 .6527234 .3731686 Dem 48 .5975417 .3717423 K* 48 263653.4 438349.9 L 48 61557.93 46760.63 KL** 48 16.159 38.0531 Agg 48 .3727083 .1913375 Man 48 .248625 .1242805 PCI 48 610.6875 223.3965 *In this table, K = K/1000. **KL = K/(L*1000), referring to the original K. Min 0 0 2695.889 1033.81 .0263433 .049 .075 266 Max 1 1 2031460 261231.7 208.8405 .772 .563 1151 The summary statistics display the range of values of the variables. In the observations column, there are 48 observations for the economic variables because there were 48 states in 1913, but 47 observations for Underwood, because no congressmen from Wyoming voted. Underwood and Dem range from zero to one because they are percentage terms, while Agg and Man have ranges that fall within zero and one for the same reason. It is noteworthy that because each state is weighted equally, the summary statistics do not portray the statistics of America as a whole at this time. Rather, they portray the average economic indicators of each state. 38 The summary statistics illustrate a diverse American economy in 1913. For Dem the mean is .598, but the standard deviation of .372 indicates that it was common for states to differ greatly in their party affiliation makeup. The same can be said for KL, which has a mean of 16.2 and a standard deviation of 38.1, and whose maximum is 7,927 times bigger than its minimum. Agg and Man likewise differ greatly between states. Percapita income fits the same mold of heterogeneity: it has a mean of $610.69, with a standard deviation of $223.40. Unlike the other variables, its maximum value is a mere 4.3 times as large as its minimum. V-B. Regional Breakdown of Data Before running regressions, it is useful to graphically illustrate how the variables differ between the North, South, Midwest and West. Regional Disparities in Capital and Land Endowments 0 Capital 500000 100000015000002000000 Graph I 0.00 50,000.00 100,000.00 150,000.00 Land, Square Miles Northeast Midwest Source: Statistical Abtract 1910 K=K/1000 South West 200,000.00 250,000.00 39 This graph confirms the qualitative and anecdotal evidence: the Northeast is capital abundant, the South and West are land abundant, and the Midwest lies in the middle. The pattern of regions grouping together is very strong. Because manufacturing is capital intensive, and agriculture is land intensive, the model expects states that have high capital ratios to support protectionism, and those with high land ratios to support freer trade. This graph portrays the H-O model. Graph II 0 .2 Agg .4 .6 .8 Regional Disparities in Sector Employment .1 .2 .3 Man Northeast Midwest .4 .5 .6 South West Source: Census of 1910 The graph above illustrates the same story as Graph I, except that it portrays the R-V model instead of H-O. The primary difference in this graph is that there is a strong negative correlation of 0.8717 between Agg and Man, leading to a clear linear form. K and L by contrast only have a negative correlation of 0.2031 in the preceding graph. 40 V-C. Multicollinearity A fundamental problem with the initial regression equation listed at the end of section IV-B is the presence of multicollinearity, meaning that some of the independent variables are correlated with one another. The table below quantifies the correlations. Table III: Correlations Under Dem Underwood 1.0000 Dem 0.4097 1.0000 K -0.1733 0.0013 L 0.0154 0.0029 KL -0.2180 -0.0326 Agg 0.1202 0.2293 Man -0.1375 -0.1508 PCI -0.1154 -0.1875 K L KL Agg Man PCI 1.0000 -0.2031 0.3712 -0.5098 0.5149 0.5535 1.0000 -0.4160 0.2178 -0.4879 -0.1615 1.0000 -0.5634 1.0000 0.7311 -0.8717 1.0000 0.5124 -0.8993 0.7969 1.0000 The results show that while many variables are correlated with Underwood, they are also correlated with themselves. Dem has a correlation of 0.2293 with Agg, -0.1508 with Man, and -0.1875 with PCI. KL has a correlation of -0.5634 with Agg, 0.7311 with Man, and 0.5124 with PCI. Agg and Man are naturally highly negatively correlated with each other, at -0.8717. A matrix graph is used to illustrate these correlations. 41 Graph III: Correlations Across Regressed Variables (sans K and L). Underwood 1 Dem .5 0 200 KL 100 0 1 Agg .5 0 .6 .4 Man .2 0 1000 PCI 500 0 0 .5 10 .5 10 100 2000 .5 10 .2 .4 .6 Before even running any regressions, the correlations illustrate the validity of at least some of the predictions of the model. Voting for Underwood is positively correlated with Dem, L, and Agg, and negatively correlated with K, Man and PCI. The fit for Dem and KL is very strong from the graphical view, though the fit for Agg, Man and PCI appears less strong. The correlations table identifies a fundamental problem with the initial regression equation: KL, Agg, Man and PCI are highly correlated with each other. Multicollinearity is potentially problematic, as a regression involving two or more of these variables likely will either compute at least one variable as either statistically insignificant or will assign a coefficient with the opposite sign of what it would have had, had it been the only variable from among that group in the regression. 42 Quantification of collinearity comes from a statistical test named VIF, an acronym for variance inflation factor. VIF checks for multicollinearity, with a result of greater than ten, or close to it, signifying potentially multicollinearity. The reciprocal 1/VIF equals the tolerance, which is a measure of the percentage of variance in the predictor (the variable) that is not measured by other predictors. A small tolerance value indicates potential redundancy of a variable. The results of a VIF test following the regression of Dem KL Agg Man PCI on Underwood is listed in the table below. While none of these variables reach ten, many are close and display a degree of collinearity.48 Table IV: Collinearity of Variables Variable VIF Agg 8.37 Man 6.45 PCI 5.26 KL 2.27 Dem 1.07 Mean VIF 4.69 1/VIF 0.119519 0.154930 0.190097 0.440025 0.930792 V-D. State by State Breakdown of Data To provide a graphical representation of the correlations between each independent variable and Underwood, and to plot the exact points of each state, five univariate regressions are graphed below. The fitted blue lines and adjacent grey 95% confidence bands mirror the values expected from the correlation table above. These graphs do not represent the paper’s econometric model, as a univariate model is necessarily mis-specified. The goal is only to provide more descriptive information. 48 UCLA Statistical Consulting Group. “Regression with SPSS. Chapter 2 - Regression Diagnostics.” At http://www.ats.ucla.edu/stat/spss/webbooks/reg/chapter2/spssreg2.htm. A collin test could be used to provide supplementary diagnostic statistics. 43 Graph IV Univariate Regression: Dem on Underwood WI WV DE TN .8 1 SD VT UT WA CT .6 IL NY AR AZ AL CO GA FL MS MT TX NJ IN NC MD MO OH KS NE MA .4 Underwood NV KY NH VA CA ME LA NM .2 IA MI SC MN 0 ID ND 0 PA .2 OR RI .4 OK Dem .6 .8 1 As predicted, the fitted line has an upward slope, representing the positive effect of Dem on voting for Underwood. 44 Graph V Univariate Regression: KL on Underwood 1 SD AZ UT MT TX FL A CO MS WA RAL GA TNWV VA VT WI .8 NC KY NH MO NV MD IL .6 NY OH KS .4 NE CA LAME NM IA .2 Underwood DE IN SC MN MI 0 ND ID OK OR PA 0 10 20 30 KL 40 50 Sans outliers Rhode Island Massachusetts and New Jersey As predicted, KL has a negative slope. Graph VI Univariate Regression: Agg on Underwood 1 WA CO AZDE UTMT WI VT WV FLVA .6 NY MS NC .8 CT KY NHMD MO NV IL OH KS NE MA .4 Underwood TNSD TX GA AL AR IN NJ CA ME LA NM .2 IA MI SC MN 0 RI 0 PA OR .2 As predicted, Agg has a positive slope. ID .4 Agg OK ND .6 .8 45 Graph VII 1 Univariate Regression: Man on Underwood MS AR AL SD TX GA TN MTVA AZCO WV FL UT WAVT WI .8 NC KY .6 NJ MD NH MO NV IL CT NY OH KS NE MA .4 Underwood DE IN LA ME CA NM .2 IA MI SC 0 ND OK MN ID .1 OR .2 .3 PA RI .4 Man .5 .6 As predicted, Man has a negative slope. Graph VIII Univariate Regression: Per Capita Income on Underwood 1 MSAR ALGATN SD VAWV TX FL UT MT AZ VT CO WI DE IN NC .8 WA KY NJ NH MD .6 CT NV IL NY OH KS NE MA .4 Underwood MO LA ME CA NM .2 IA MI SC MN 0 ND 200 400 OK ID OR 600 As predicted, PCI has a negative slope. PCI PA 800 RI 1000 1200 46 In univariate regressions, the five variables behave exactly as predicted. The fitted line for Dem has a positive upward slope, KL has a negative downward slope, Agg is positive, Man is negative, and PCI is negative. VI. Regression Results The regression of the initial equation Underwoodi = β0 + β1Demi + β2KLi + β3Aggi + β4Mani + β5PCIi + ε gives a strong fit, and has an R2 of .224. However, potentially due to the multicollinearity issue, only two variables, Dem and KL, are significant and have the signs predicted by theory, and the coefficient on Man is positive, when all of the other indicators state that it should be negative. To decide which coefficients are significant, F-tests are run. First, Dem KL Agg Man and PCI are regressed on Underwood (robust), again. The F-stat for the whole set of variables is 5.68, with a p-value of 0.0005. The variables as a whole are significant. However, since Agg, Man and PCI may not be significant, a F-test is run on the null hypothesis that (β0 + β1Demi + β2KLi + β3Aggi + β4Mani + β5PCIi) - (β0 + β1Demi + β2KLi) = 0 The result of this F-test on Agg, Man and PCI is an F-stat of 0.28, and a p-value of 0.843. Agg, Man and PCI are not significant. Further F-tests show that Dem and KL are significant. Therefore in the regression table a second regression consisting of only Dem and KL on Underwood is included. 47 VARIABLES Dem KL Agg Man PCI Constant (1) Underwood (2) Underwood 0.442** (0.168) -0.00304** (0.00128) -0.279 (0.704) 0.276 (0.699) -0.000128 (0.000441) 0.546 (0.608) 0.412** (0.167) -0.00199** (0.000864) 0.434*** (0.137) Observations 47 47 R-squared 0.224 0.210 Robust standard errors in parentheses *** p<0.01, ** p<0.05, * p<0.1 To judge the results of this table, the original economic theories are briefly restated. The H-O model predicted that a rise in Capital over Land would cause a decrease in voting for Underwood. As predicted by H-O, KL has a negative coefficient of -0.00304 in regression I, meaning that for every $1,000 increase in a state’s capital over land, 0.304% fewer of its congressmen voted for Underwood. The adapted R-V model predicted that where labor was employed, not relative factor endowments, was key and that agricultural laborers would support freer trade, while those working in manufacturing would be opposed. The two variables measuring this, Agg and Man, however are statistically insignificant. The Income Tax effect predicted that in an increase in percapita income would cause a decrease in voting for Underwood, because a decrease in tariffs was thought to lead to an increase in income tax rates. The variable measuring percapita income is statistically insignificant. Therefore, the H-O model is the relevant and 48 most accurate model in 1913. Unsurprisingly, and as predicted by party affiliation, Dem is consistently positive across all regressions. In regression I, it has a positive coefficient of 0.442, meaning that for every unit increase in the percentage of a state’s congressmen who are Democrats, its total congressional delegation is 44.2% more likely to vote for Underwood. Scaling this down for an example, if New York’s delegation is proportionally 10% more Democratic than is Iowa’s, 4.42% more (proportionally speaking) of New York’s congressmen are predicted to vote for Underwood than are Iowa’s. It should be noted that the validity of H-O does not rest on the validity of R-V and Income Tax effect. They are three independent models that are tested for at once in the regression. Consequently, a highlight of the results is the similarity to Baldwin-Magee’s results. Baldwin and Magee prove that H-O is a much more significant predictor than RV for voting on trade policy in the 1990s. The first model has an R2 of .224, which should be considered to be a strong fit, because the data is only on a state, not district, level. Given this limitation, the model has a strong fit—a stronger fit would be abnormal, given the degree of economic heterogeneity within states. It is also noteworthy that multicollinearity does not appear to be problematic, or indeed to exist at a strong degree. At the same time, the second regression column only loses a small measure of fit (R2) by dropping Agg, Man and PCI. (They are dropped because they are proven to be insignificant by the F-test.) To briefly step outside of the data-based framework of this paper, and to enter into the mind-set of a congressman in 1913, a new question can be posed. Does the congressman care about the owners of factors of production, capital and land, in his 49 district, or does he care more about where his constituents are employed, or does he worry about the potential income tax faced by the highest-earning? The quantitative answer here is that the owners of factors of production matter most. On the other hand, a qualitative answer, garnered through reading the Congressional Record, indicates that RV is most important. VII. Conclusion While this paper’s model anticipated economic variables to have more predictive power than party affiliation, it appears from the results that party affiliation is the most significant variable. Despite this, the significance of at least one economic variable in affecting congressional voting on tariff policy was proven with 95% statistical confidence in this paper. This empirical finding vindicates the qualitative assertion of Kentucky Representative Powers, who pithily stated that local economic conditions, specifically whether a congressman expects his district to benefit or suffer from increased free trade, are crucial to understanding the forces behind and the changes to U.S. tariff policy. The empirics prove the H-O model to be correct and the R-V model and Income Tax effect models to be incorrect. Congressmen, it seems, care more about relative factor endowments than in which sectors their constituents are employed, or the income tax burden faced by their wealthiest constituents. One explanation for the insignificance of the Income Tax effect is that the 1913 iteration only affected less than the highest percentile of earners—who were likely concentrated in only a handful of districts. Much of the motivation for studies of economic history comes from the ability to extrapolate lessons learned from the past to contemporary events. The best example of 50 this is the Federal Reserve’s use of studies of the Great Depression in deciding on policies to combat the Great Recession. In this vein, it is hoped that lessons learned from this thesis are applicable to analysis of motives behind voting on contemporary trade bills. Even after successfully passing Underwood in 1913, the tariff issue remained a lifelong concern for Wilson.49 After leaving office sick and fatigued, he was incensed by the policies of his successor Warren Harding, including his reintroduction of higher tariffs that wiped out Underwood, in the form of the Fordney–McCumber Tariff of 1922. This anger caused Wilson to contemplate running for a third term in 1924, despite his paralyzing stroke in 1919.50 Wilson died in February 1924. “For what do we wait? Why should we wait to crown ourselves with consummate honor?” Wilson quoted from Shakespeare’s Henry V upon signing the Underwood Bill, on October 3, 1913. The indefatigable Wilson used his signing remarks first to offer thanks, and then to fire the opening salvo in the fight to pass a bill “to control and guide and direct the credits of the country.” Pushing for a more perfect economy, guided by a Federal Reserve System, Wilson reflected, “So I feel tonight like a man who is lodging happily in the inn which lies half way along the journey and that in time, with a fresh impulse, we shall go the rest of the journey and sleep at the journey’s end like men with a 49 Wilson used every intellectual concept he could to attack the tariff. In a talk in Hartford, Connecticut, on September 25, 1912, discussing the Payne-Aldrich Tariff of 1909, Wilson employed “allusions to Alice in Wonderland, England’s seventeenth-century Petition of Right, the god Baal, Gladstone, Bagehot, Henry Clay, the direct election of Senators, initiative and referendum, the concept of a tabula rasa in politics, and the Latin derivation of the word ‘radical’” (Berg, 242). 50 Berg, 713. 51 quiet conscience, knowing that we have served our fellow men and have, thereby, tried to serve God.”51 51 Woodrow Wilson, “Remarks Upon Signing the Tariff Bill, Oct. 3, 1913.” In Arthur S. Link, editor, The Papers of Woodrow Wilson, Vol. 28: 1913 (Princeton: Princeton University Press, 1978), 351-2. 52 Bibliography Baker, Paula. Curbing Campaign Cash: Henry Ford, Truman Newberry, and the Politics of Progressive Reform. University Press of Kansas, 2012. Baldwin, Robert E. and Magee, Christopher S. “Is Trade Policy for Sale? 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Princeton: Princeton University Press, 1978. 55 Data Sources Variable Source Underw Congressional Record ood Dem Bibliographical Directory of the United States Congress, 1774-Present. http://bioguide.congress.gov/biosearch/biosearch.asp K Department of Commerce and Labor, Statistical Abstract of the United States, 1910-03. “Summary of Manufactures: no. 111—Summary of Manufactures: By States and Territories,” p.196-97. https://www.census.gov/prod/www/statistical_abstract.html L Department of Commerce and Labor, Statistical Abstract of the United States, 1913-02. “Area, Natural Resources, and Population: no. 1-The United States: Dates of Acts of Organization or Admission of States and Territories and Areas of Their Land and Water Surfaces,” p. 9-10. https://www.census.gov/prod/www/statistical_abstract.html Agg United States Census Bureau, Thirteenth Census of the United States: 1910, Volume 4: Population. Chapter 1: Report on Occupations. “Population. Distribution by General Divisions of Persons 10 Years of Age and Over Engaged in Gainful Occupations, By Divisions and States: 1910,” p. 45. https://www.census.gov/prod/www/decennial.html Man Ibid. PCI Federal Reserve Bank of St. Louis, FRED Economic Data>Releases>State Per Capita Personal Income. http://research.stlouisfed.org/fred2/search?pageID=1&ob=os&od=&t=st ate&st=per+capita+income 1912 Popular vote for President in 1912, by state, is from Department of Election Commerce and Labor, Statistical Abstract of the United States, 1913-06. No. 344, p. 137. 56 Table V: Voting % by State in 1912 Presidential Election, and Congressional Party Affiliation, 1913 State Wilson Roosevelt Taft Debs Dem Alabama 69.94 19.24 8.24 2.57 1 Arizona 43.52 29.29 12.74 13.33 1 Arkansas 55.01 17.3 20.45 6.52 1 California 41.81 41.83 0.58 11.68 0.231 Colorado 42.8 27.09 21.88 6.15 1 Connecticut 39.16 17.92 35.88 5.28 0.714 Delaware 46.48 18.25 32.85 1.14 0.667 Florida 69.52 8.96 8.42 9.45 1 Georgia 76.63 18.1 4.27 0.87 1 Idaho 32.08 24.14 31.02 11.31 0 Illinois 35.34 33.72 22.13 7.09 0.724 Indiana 43.07 24.75 23.11 5.64 1 Iowa 37.64 32.87 24.33 3.45 0.231 Kansas 39.3 32.88 20.47 7.33 0.6 Kentucky 48.48 22.48 25.52 2.57 0.769 Louisiana 76.81 11.71 4.84 6.64 1 Maine 39.43 37.41 20.48 1.96 0.333 Maryland 48.57 24.91 23.69 1.72 0.875 Massachusetts 35.53 29.14 31.95 2.58 0.444 Michigan 27.36 38.95 27.63 4.21 0.133 Minnesota 31.84 37.66 19.25 8.23 0.083 Mississippi 88.9 5.5 2.42 3.18 1 Missouri 47.35 17.8 29.75 4.07 0.889 Montana 35 28.13 23.19 13.64 1 Nebraska 43.69 29.13 21.74 4.08 0.5 Nevada 39.7 27.94 15.89 16.47 0.667 New Hampsh. 39.48 20.23 37.43 2.25 0.75 New Jersey 41.2 33.6 20.53 3.69 0.923 New Mexico 41.39 16.9 35.91 5.79 0.333 North Carolina 59.24 28.34 11.95 0.42 1 New York 41.27 24.56 28.68 3.99 0.711 North Dakota 34.14 29.71 26.67 8.05 0 Ohio 40.96 22.16 26.82 8.69 0.833 Oklahoma 46.95 0 35.77 16.42 0.8 Oregon 34.34 27.44 25.3 9.74 0.4 Pennsylvania 32.49 36.53 22.45 6.87 0.316 Rhode Island 39.04 21.67 35.56 2.63 0.4 South Carolina 95.94 2.57 1.06 0.33 1 57 South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 42.07 52.8 72.73 32.55 24.43 65.95 26.9 42.11 41.06 36.2 50.56 21.45 8.86 21.51 35.22 15.9 35.22 29.43 15.61 21.83 0 24 9.45 37.46 37.13 17 21.82 21.11 32.65 34.42 4.01 1.41 8.25 8.03 1.48 0.6 12.43 5.67 8.37 6.53 0 0.833 1 0 0 0.917 0 0.375 0.231 0