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A Simple Nonparametric Approach to Estimating the Distribution of Random Coefficients in Structural Models / Jeremy T. Fox, Kyoo il Kim.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Fox, Jeremy T.
Contributor:
National Bureau of Economic Research.
Kim, Kyoo il.
Series:
Working Paper Series (National Bureau of Economic Research) no. w17283.
NBER working paper series no. w17283
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2011.
Summary:
We explore a nonparametric mixtures estimator for recovering the joint distribution of random coefficients in economic models. The estimator is based on linear regression subject to linear inequality constraints and is computationally attractive compared to alternative, nonparametric estimators. We provide conditions under which the estimated distribution function converges to the true distribution in the weak topology on the space of distributions. We verify the consistency conditions for discrete choice, continuous outcome and selection models.
Notes:
Print version record
August 2011.

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