We develop a theory of optimal income and education taxation under asymmetric information between firms and workers. Our results show that a max–min optimal tax code can achieve predistribution by pooling wages across ability levels, conditional on income. We identify conditions under which the optimal solution leads to pooling or separating equilibria, highlighting bidirectional incentive constraints. Implementation requires nonlinear income taxes coupled with education subsidies or mandates. Predistribution is only feasible when income taxes are complemented by policies that restrict signaling opportunities. Our framework provides new insights into reducing wage inequality through optimal tax policy and labor market information management.
Optimal redistribution and education signaling / S. Bastani, T. Blumkin, L. Micheletto. - In: INTERNATIONAL ECONOMIC REVIEW. - ISSN 0020-6598. - 66:3(2025 Aug), pp. 1239-1265. [10.1111/iere.12756]
Optimal redistribution and education signaling
L. MichelettoUltimo
2025
Abstract
We develop a theory of optimal income and education taxation under asymmetric information between firms and workers. Our results show that a max–min optimal tax code can achieve predistribution by pooling wages across ability levels, conditional on income. We identify conditions under which the optimal solution leads to pooling or separating equilibria, highlighting bidirectional incentive constraints. Implementation requires nonlinear income taxes coupled with education subsidies or mandates. Predistribution is only feasible when income taxes are complemented by policies that restrict signaling opportunities. Our framework provides new insights into reducing wage inequality through optimal tax policy and labor market information management.| File | Dimensione | Formato | |
|---|---|---|---|
|
BBM IER 2025.pdf
accesso aperto
Tipologia:
Publisher's version/PDF
Licenza:
Creative commons
Dimensione
600.74 kB
Formato
Adobe PDF
|
600.74 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.




