Market Share and Non
Transcription
Market Share and Non
Discussion of Ageing and Productivity Ilmakunnas et al. Etienne Wasmer (Sc. Po. Paris) Ageing and productivity: comment 1 Introduction 1 Really interesting piece – – – – – a general framework relations between age and absenteism age and working capacity age and productivity at the plant level Some policy implications Ageing and productivity: comment 2 Introduction 2 Summary of findings - productivity is multi-dimensional - effect of age on absenteism is complex and not monotonic (frequency vs. duration) - various cognitive and non-cognitive ability vary differently with age: most decline with age but some (e.g. verbal ability) increase - overall, labor market behaviour more important than age on productivity Ageing and productivity: comment 3 Introduction 3 Why important to know? Several implications a) for reforms of pension systems, notably the optimal age of retirement b) but also for the design of training policies and even of education policy (cohort effects; general vs. specific education and obsolescence rates of skills) c) and for employability of “seniors” Ageing and productivity: comment 4 In short: implications for most aspects of labor economics This discussion Couple of general remarks Enlight conclusions and policy Two conjectures Ageing and productivity: comment 5 First, a few missing dimensions: Career mobility. Most of the relation between age and productivity is determined by changing occupation or even sectors. Variant of the Roy model. Verbal skills matter more at a higher level of hierarchy. Learning skills matter more at a younger age. So occupations are a first order determinant of the age-productivity link. Ageing and productivity: comment 6 Does it matter? When estimating a relation between age and “errors” on the assembly line, potentially an upward bias: those who commit more mistakes may be more likely to have no promotion hence to remain an assembly line worker Literature on peer effects Ageing and productivity: comment 7 Second point: gender – Too politically correct? Are skills and productivity depreciating faster or not depending on gender - In most countries, female workers retirement age is lower (legal and effective). Could have been adressed Ageing and productivity: comment 8 Related point: endogeneity issue, related to the career choices and participation decisions Most skills are maintained when they are useful and needed. Time horizon matters a lot (this is why older persons should play Scrabble as long as they can, why their skills deteriorate fast when their spouse dies, why older heads of states often die one or two years after they resign, etc…) Ageing and productivity: comment 9 Ageing and productivity: comment 10 Ageing and productivity: comment 11 Ageing and productivity: comment 12 Endogeneity of skill maintenance decisions Ageing and productivity: comment 13 Labor market theory of this curve Productivity Wage RA for FRDB Author for FRDB Coordinator for FRDB Discussant for FRDB Ageing and productivity: comment 14 A side remark: no mention of life expectancy – a) cognitive ability and its maintenance impact on life expectancy b) statistics easy to find, and thus possible to draw inference on the end of career of senior workers by sector, education, country, gender… Ageing and productivity: comment 15 More important But what would really improve the work is the missing link between technology and aging Are IT youth-friendly relative to older workers? Can we think of IT’s that would instead raise the relative productivity of senior workers? Ageing and productivity: comment 16 Policy implications What policy conclusions do we reach? Do we need to subsidize firms who invest in skills of senior workers, raising their employability IT’s friendly to senior workers? What about education? Ageing and productivity: comment 17 Education “cristallized abilities” are presumably to a large extent cohort effects. The generation before us makes no grammatical mistake and remember many poetries but cannot plug a PC and are disarmed in the “trial and error” process of the internet. A conclusion would be that the construction of skills is as much a collective effort as an individual one. 18 Ageing and productivity: comment Open issue: stress at the workplace and p.r. Stress vs. employment protection 3 TU 2.5 IT PT GR SK PO GE AT CZ SP FR 2 UK BE HU SW IE 1.5 DK NE FI 1 1.5 2 2.5 Employment protection (OECD 2004) Ageing and productivity: comment 3 3.5 19