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On Bunching and Identification of the Taxable Income Elasticity

Sören Blomquist, Whitney Newey, Anil Kumar and Che-Yuan Liang

No 24136, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: The taxable income elasticity is a key parameter for predicting the effect of tax reform or designing an income tax. Bunching at kinks and notches in a single budget set have been used to estimate the taxable income elasticity. We show that when the heterogeneity distribution is unrestricted the amount of bunching at a kink or a notch is not informative about the size of the taxable income elasticity, and neither is the entire distribution of taxable income for a convex budget set. Kinks do provide information about the size of the elasticity when a priori restrictions are placed on the heterogeneity distribution. They can identify the elasticity when the heterogeneity distribution is specified across the kink and provide bounds under restrictions on the heterogeneity distribution. We also show that variation in budget sets can identify the taxable income elasticity when the distribution of preferences is unrestricted and stable across budget sets. For nonparametric utility with general heterogeneity we show that kinks only provide elasticity information about individuals at the kink and we give bounds analogous to those for isoelastic utility. Identification becomes more difficult with optimization errors We show in examples how results are affected by optimization errors.

JEL-codes: C14 H20 (search for similar items in EconPapers)
Date: 2017-12
New Economics Papers: this item is included in nep-ore
Note: LS PE
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Citations: View citations in EconPapers (4)

Published as Sören Blomquist & Whitney K. Newey & Anil Kumar & Che-Yuan Liang, 2021. "On Bunching and Identification of the Taxable Income Elasticity," Journal of Political Economy, vol 129(8), pages 2320-2343.

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Related works:
Journal Article: On Bunching and Identification of the Taxable Income Elasticity (2021) Downloads
Working Paper: On Bunching and Identi?cation of the Taxable Income Elasticity (2019) Downloads
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