Differences in Positions along a Hierarchy: Counterfactuals Based on an Assignment Model

Laurent Gobillon, Dominique Meurs and Sébastien Roux ()

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Abstract: We propose an assignment model in which positions along a hierarchy are attributed to individuals depending on their characteristics. Our theoretical framework can be used to study differences in assignment and pay-offs across groups and we show how it can motivate decomposition and counterfactual exercises. In an application, we study gender disparities in the public and private sectors with a French exhaustive administrative dataset. The gender wage gap in the public sector is 13.3% and it increases by only 0.7 percentage points when workers are assigned to job positions according to the rules of the private sector.

Keywords: Assignment; Distributions; Counterfactuals; Wages; Gender; Public sector (search for similar items in EconPapers)
Date: 2022-03
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Published in Annals of Economics and Statistics, 2022, 145, pp.29-74. ⟨10.2307/48655901⟩

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Related works:
Journal Article: Differences in Positions along a Hierarchy: Counterfactuals Based on an Assignment Model (2022)
Working Paper: Differences in positions along a hierarchy: Counterfactuals based on an assignment model (2022)
Working Paper: Differences in Positions along a Hierarchy: Counterfactuals Based on an Assignment Model (2022)
Working Paper: Differences in positions along a hierarchy: Counterfactuals based on an assignment model (2021)
Working Paper: Differences in positions along a hierarchy: Counterfactuals based on an assignment model (2017)
Working Paper: Differences in positions along a hierarchy: Counterfactuals based on an assignment model (2017)
Working Paper: Differences in positions along a hierarchy: Counterfactuals based on an assignment model (2017)
Working Paper: Differences in Positions along a Hierarchy: Counterfactuals Based on an Assignment Model (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04465511

DOI: 10.2307/48655901

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