Andrew Clark is a CNRS Research Professor at the Paris School of Economics (PSE). He previously held posts at Dartmouth, Essex, CEPREMAP, DELTA, the OECD and the University of Orléans.

His work has largely focussed on the interface between psychology, sociology and economics; in particular, using job and life satisfaction scores, and other psychological indices, as proxy measures of utility. The broad area is social interactions and social learning.

One research field has been that of relative utility or comparisons (to others like you, to others in the same household, and to yourself in the past), finding evidence of such comparisons with respect to both income and unemployment. This work has spilled over into theoretical and empirical work on evidence for and the implications of following behaviour and learning from others' actions. Recent work has involved collaboration with psychologists to map out habituation to life events (such as job loss, marriage, and divorce) using long-run panel data. In addition, direct measures of utility allow direct tests of popular models of the labour market. In this spirit, his work has looked at unemployment, quits, and labour market rents.

He joined IZA as a Research Fellow in February 2004.

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Publications

IZA Discussion Paper No. 11318
published in: Labour Economics, 2018, 51, 307-316
IZA Discussion Paper No. 11135
forthcoming in: Journal of Economic Behavior and Organization
IZA Discussion Paper No. 9880
published in: European Journal of Population, 2016, 32, 445-473
IZA Discussion Paper No. 9189
published in Journal of Behavioral and Experimental Economics, 2017, 70, 1-9
IZA Discussion Paper No. 8724
published in: Labour Economics, 2016, 42, 151-158
IZA Discussion Paper No. 8656
published in: Review of Economics and Statistics, 2016, 98 (3), 591–600
IZA Discussion Paper No. 8136
published in: A. Atkinson and F. Bourguignon (Eds.): Handbook of Income Distribution, 2A, 2015, 1147-1208
IZA Discussion Paper No. 7682
published in: Economic Journal, 2014, 124 (580), F720- F738
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