Economic consequences of vertical mismatch

We study two first‐order economic consequences of vertical mismatch, using a simple (neoclassical) model of under and overemployment. Individuals of high type can perform both skilled and unskilled jobs, but only a fraction of low‐type workers can perform skilled jobs. People have different costs over these jobs. First, we calibrate the model to match U.S. CPS time series since the 1980s. To control for unobserved heterogeneity, we compute wages based on workers who have switched between skilled and unskilled jobs. We show that changes in educational mismatch has contributed one‐sixth as much as skilled‐bias technological progress for the rise in the college premium. Second, we calibrate the model to match moments of the 50 United States, to measure the output costs of frictions generating mismatch. The cost of frictions is 0.26% of output on average but varies between 0.06% to 0.77% across states. The key variable that explains the output cost of vertical mismatch is not the percentage of mismatched workers but their wage relative to well‐matched workers.

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Publication Details

Journal
Quantitative Economics
Published
2025-01-01
DOI
https://doi.org/10.3982/qe1868
Citations
4
Primary Topic
Economic Growth and Productivity
Type
article
Field-Weighted Citation Impact
12.52
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article

Economic consequences of vertical mismatch

Thepthida Sopraseuth, Pedro Gomes, Pietro Garibaldi
4 citations
Quantitative Economics
Economic Growth and Productivity
12.52
article

Economic consequences of vertical mismatch

Thepthida Sopraseuth, Pedro Gomes, Pietro Garibaldi
article en
4 citations

Abstract

We study two first‐order economic consequences of vertical mismatch, using a simple (neoclassical) model of under and overemployment. Individuals of high type can perform both skilled and unskilled jobs, but only a fraction of low‐type workers can perform skilled jobs. People have different costs over these jobs. First, we calibrate the model to match U.S. CPS time series since the 1980s. To control for unobserved heterogeneity, we compute wages based on workers who have switched between skilled and unskilled jobs. We show that changes in educational mismatch has contributed one‐sixth as much as skilled‐bias technological progress for the rise in the college premium. Second, we calibrate the model to match moments of the 50 United States, to measure the output costs of frictions generating mismatch. The cost of frictions is 0.26% of output on average but varies between 0.06% to 0.77% across states. The key variable that explains the output cost of vertical mismatch is not the percentage of mismatched workers but their wage relative to well‐matched workers.

Quantitative EconomicsVol. 16(2)
Collegio Carlo Alberto (IT), CY Cergy Paris Université (FR), Birkbeck, University of London (GB)
Openalex Percentile: Top 2%
Economic Growth and Productivity
12.52
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Economic consequences of vertical mismatch — Thepthida Sopraseuth, Pedro Gomes, et al. · Quantitative Economics (2025) | TGRS Research Map | TGRS