 Nonparametric Estimation with Nonlinear Budget SetsSören Blomquist and Whitney Newey Econometrica, 2002, vol. 70, issue 6, 2455-2480 Abstract: Choice models with nonlinear budget sets provide a precise way of accounting for the nonlinear tax structures present in many applications. In this paper we propose a nonparametric approach to estimation of these models. The basic idea is to think of the choice, in our case hours of labor supply, as being a function of the entire budget set. Then we can do nonparametric regression where the variable in the regression is the budget set. We reduce the dimensionality of this problem by exploiting structure implied by utility maximization with piecewise linear convex budget sets. This structure leads to estimators where the number of segments can differ across observations and does not affect accuracy. We give consistency and asymptotic normality results for these estimators. The usefulness of the estimator is demonstrated in an empirical example, where we find it has a large impact on estimated effects of the Swedish tax reform. Copyright The Econometric Society 2002. Date: 2002 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ecm:emetrp:v:70:y:2002:i:6:p:2455-2480 Ordering information: This journal article can be ordered from Access Statistics for this article Econometrica is currently edited by Guido Imbens More articles in Econometrica from Econometric Society Contact information at EDIRC. |
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