Economic consequences of vertical mismatch

Pietro Garibaldi et al.

Quantitative Economics2025https://doi.org/10.3982/qe1868article
AJG 4ABDC A*
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0.46

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.

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@article{pietro2025,
  title        = {{Economic consequences of vertical mismatch}},
  author       = {Pietro Garibaldi et al.},
  journal      = {Quantitative Economics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.3982/qe1868},
}

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Evidence weight

0.46

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.37 × 0.4 = 0.15
M · momentum0.60 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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