Misperceptions of Nonlinear Budget Sets: Evidence from Administrative Tax Data
Alexander M. Gelber,
Damon Jones,
Ithai Lurie and
Daniel W. Sacks
No 33496, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
Budget set kinks are much studied in economics, including in the context of “bunching” estimators that assume individuals react to the true marginal tax rate. We document that individuals disproportionately “left-bunch” below kinks in the context of the Social Security Earnings Test. We show that the left bunching in this case cannot be explained through standard, rational reactions to the incentives and instead find that a model of tax bracket misperception, where individuals mistake a kink in their budget set for a notch, provides a much better fit to the data. In the context of the Earnings Test, this misperception provides an explanation for why literature has found large earnings responses despite the fact that the Earnings Test typically creates weak incentives for rational agents to adjust earnings. More generally, if individuals perceive kinks as notches, then elasticities estimated from bunching at kinks where this misperception may be at play may be significantly over-estimated.
JEL-codes: H20 H24 H55 J14 J22 J26 (search for similar items in EconPapers)
Date: 2025-02
New Economics Papers: this item is included in nep-lma, nep-pbe and nep-pub
Note: AG LS PE
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.nber.org/papers/w33496.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:33496
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w33496
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().