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Redistribution with Performance Pay

Pawel Doligalski, Abdoulaye Ndiaye and Nicolas Werquin

MPRA Paper from University Library of Munich, Germany

Abstract: Half of the jobs in the U.S. feature pay-for-performance. We study nonlinear income taxation in a model where such labor contracts arise as a result of moral hazard frictions within firms. We derive novel formulas for the incidence of arbitrarily nonlinear reforms of a given tax code on both average earnings and their sensitivity to output risk. We show theoretically and quantitatively that, following an increase in tax progressivity, the higher sensitivity of earnings to performance caused by the crowding-out of private insurance is almost fully o�set by a countervailing performance-pay effect driven by labor supply responses. As a result, earnings risk is hardly affected by policy. We then turn to the normative analysis of a government that levies taxes and transfers to redistribute income across workers with different levels of uninsurable productivity. We�find that setting taxes without accounting for the endogeneity of private insurance is close to optimal. Thus, the common concern that standard models of taxation underestimate the cost of redistribution is, in the context of performance-based compensation, overblown.

Keywords: moral hazard; optimal taxation; Performance pay; Tax Incidence (search for similar items in EconPapers)
JEL-codes: D61 D82 D86 H21 H22 (search for similar items in EconPapers)
Date: 2020-05
New Economics Papers: this item is included in nep-hrm, nep-ias and nep-pbe
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Related works:
Journal Article: Redistribution with Performance Pay (2023) Downloads
Working Paper: Redistribution with Performance Pay (2022) Downloads
Working Paper: Redistribution with Performance Pay (2020) Downloads
Working Paper: Redistribution with Performance Pay (2020) Downloads
Working Paper: Redistribution with Performance Pay (2020) Downloads
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