• Media type: E-Book
  • Title: A Simple Nonparametric Approach to Estimating the Distribution of Random Coefficients in Structural Models
  • Contributor: Fox, Jeremy T. [Author]; Kim, Kyoo il [Other]
  • imprint: [S.l.]: SSRN, [2011]
  • Published in: NBER Working Paper ; No. w17283
  • Extent: 1 Online-Ressource (28 p)
  • Language: English
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments August 2011 erstellt
  • Description: 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
  • Access State: Open Access