Assortative Matching between workers and firms provides evidence of the complementarities or substitutes in production. The presence of complementarities is important for policies that aim to achieve the optimal allocation of resources, for example unemployment insurance. We argue that using wage data alone, it is virtually impossible to identify whether Assortative Matching is positive or negative. Even though we cannot identify the sign of the sorting, we can identify the strength, i.e., the magnitude of the cross-partial, and the associated welfare loss. We show first that the wage for a given worker is non-monotonic in the type of his employer. This is due to the fact that in a sorting model, wages reflect the opportunity cost of mismatch. We show analytically that this non-monotonicity prevents standard firm fixed effects to correlate with the true type of the firm. We then propose an alternative procedure that measures the strength of sorting in the presence of search frictions. Knowing the strength of sorting facilitates the measurement of the output loss due to mismatch.
Identifying Sorting – In Theory
Review of Economic Studies, 2011, Vol. 78 (3), 872-906. With Jan Eeckhout.
Wage and employment data can identify the strength of sorting in search models, though two-sided fixed effects are always mis-specified.
Journal of Economic Literature, 2021 59(1): 90-148. With R. Wright,B. Julien, and V. Guerrieri. This survey presents a comprehensive overview of the directed/competitive search literature. Go to paper
International Economic Review, 2012, Vol 53 (1), 1-21. With M. Galenianos. We study a finite directed-search wage posting game among heterogeneous firms (allowing for risk aversion, moral hazard,…), including limit theorems. Go to paper
Review of Economic Studies, 2019 86(4): 1411-1447. With Michèle Belot and Paul Muller. We develop and evaluate experimentally a novel tool that redesigns the job search process by providing tailored online advice about related occupations. Go to paper
Journal of the European Economic Association, 2022, 20(6), 2317–2352. This paper showcases studies that illustrate the potential of analyzing online job search data and of intervening in the online job search process, and highlights conditions under which some of the recent interventions are likely to improve market outcomes overall, rather than improving only the outcomes for the treated individuals. Go to paper
Journal of Political Economy, 2017, 124(1), 224-264. With G. Grossman & E. Helpman. (simulations, matlab). We introduce two-sided heterogeneity into a Hecksher-Ohlin-style trade model to study factor reallocation and wage inequality within and across sectors. Go to paper
International Economic Review, 2011, 52(1), pp 85-104. With M. Galenianos and G. Virag. [technical appendix] In directed search with a finite population, minimum wages improve employment but reduce output and efficiency, and reverse for unemployment benefits. Go to paper
Journal of Economic Theory, 2009, 114(2), pp. 445-471. With Manolis Galenianos. We study wage dispersion and (in)efficiency in directed search when workers can strategically apply for multiple jobs but firms can only make one offer. Go to paper
American Economic Journal - Macroeconomics, 2022, 14(4), 1-97, with Michèle Belot and Paul Muller. In a field experiment, we study how job seekers respond to posted wages by randomly assigning wages randomly to pairs of otherwise similar vacancies in a large number of professions, which generates significantly more but not exclusive interest at higher wages. Go to paper