Data and Code for: Multidimensional Skills, Sorting, and Human Capital Accumulation

Principal Investigator(s): View help for Principal Investigator(s) Jeremy Lise, University of Minnesota; Fabien Postel-Vinay, University College London

Version: View help for Version V1

Name	File Type	Size	Last Modified
Data_and_code			03/30/2020 06:10:PM

Project Citation:

Lise, Jeremy, and Postel-Vinay, Fabien. Data and Code for: Multidimensional Skills, Sorting, and Human Capital Accumulation. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-07-23. https://doi.org/10.3886/E117662V1

Project Description

Summary:

We construct a structural model of on-the-job search in which workers

differ in skills along several dimensions and sort themselves into

jobs with heterogeneous skill requirements along those same dimensions.

Skills are accumulated when used, and depreciate when not used. We

estimate the model combining data from O{*}NET with the NLSY79. We

use the model to shed light on the origins and costs of mismatch along

heterogeneous skill dimensions. We highlight the deficiencies of relying

on a unidimensional model of skill when decomposing the sources of

variation in the value of lifetime output between initial conditions

and career shocks.

Scope of Project

JEL Classification:
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J31 Wage Level and Structure; Wage Differentials
      J62 Job, Occupational, and Intergenerational Mobility; Promotion
      J64 Unemployment: Models, Duration, Incidence, and Job Search

Geographic Coverage: USA

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Published Versions

V1 [2020-07-23]

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