Replication data for: Identifying Sorting in Practice

Principal Investigator(s): View help for Principal Investigator(s) Cristian Bartolucci; Francesco Devicienti; Ignacio Monzón

Version: View help for Version V1

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Project Citation:

Bartolucci, Cristian, Devicienti, Francesco, and Monzón, Ignacio. Replication data for: Identifying Sorting in Practice. Nashville, TN: American Economic Association [publisher], 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113716V1

Project Description

Summary: We propose a novel methodology to uncover the sorting pattern in labor markets. We identify the strength of sorting solely from a ranking of firms by profits. To discern the sign of sorting, we build a noisy ranking of workers from wage data. Our test for the sign of sorting is consistent even with noisy worker rankings. We apply our approach to a panel dataset that combines social security earnings records with detailed financial data for firms in the Veneto region of Italy. We find robust evidence of positive sorting. The correlation between worker and firm types is about 52%.

Scope of Project

JEL Classification:
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J31 Wage Level and Structure; Wage Differentials
      J41 Labor Contracts
      J62 Job, Occupational, and Intergenerational Mobility; Promotion
      L25 Firm Performance: Size, Diversification, and Scope

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V1 [2019-10-12]

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