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Nonparametric estimation with nonlinear budget sets PDF

59 Pages·1999·1.6 MB·English
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Digitized by the Internet Archive in 2011 with funding from Boston Library Consortium Member Libraries http://www.archive.org/details/nonparametricestOOblom DEWEV HB31 .M415 working paper department economics of NONPARAMETRICESTIMATION WITH NONLINEARBUDGETSETS Soren Blomquist Whitney K. Newey July, 1999 massachusetts institute of technology 50 memorial drive Cambridge, mass. 02139 WORKING PAPER DEPARTMENT OF ECONOMICS NONPARAMETRICESTIMATION WITH NONLINEARBUDGETSETS Soren Blomquist Whitney K. Newey No. 99-03 July, 1999 MASSACHUSETTS OF INSTITUTE TECHNOLOGY 50 MEMORIAL DRIVE CAMBRIDGE, MASS. 02142 NONPARAMETRIC ESTIMATION WITH NONLINEAR BUDGET SETS * Soren Blomquist Uppsala University Sweden MA Whitney Newey MIT, E52-262D Cambridge, 02139 September, 1998 Revised, February 1999 Abstract Choice models with nonlinear budget sets are important in econometrics. In this paper we propose a nonparametric approach to estimation of choice models with nonlinear budget sets. The basic idea is to think of the choice, in our case hours oflabor supply, as beinga function oftheentire budget set. Then we can ac- count nonparametrically for a nonlinear budget set by estimating a nonparametric regression where the variable in the regression is the budget set. We reduce the dimensionality of this problem by exploiting additive structure implied by utility maximization with convex budget sets. This structure leads to a polynomial con- vergence rate for the estimator. We give asymptotic normality results also. The usefulness of the estimator is demonstrated in Monte Carlo and empirical work, where we find it can have a large impact on estimated effects of tax changes. JEL Classification: C14, C24 Keywords: Nonlinear budget sets, nonparametric estimation, additive models. •Financial support from the Bank ofSweden Tercentenary Foundation is gratefully acknowl- edged. WearegratefultoMatiasEklofforcompetentresearchassistance. Wethankparticipants at the Harvard-MIT econometrics workshop and the NBER for helpful comments.

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