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Identification of Random Coefficient Latent Utility Models

Author

Listed:
  • Roy Allen
  • John Rehbeck
Abstract
This paper provides nonparametric identification results for random coefficient distributions in perturbed utility models. We cover discrete and continuous choice models. We establish identification using variation in mean quantities, and the results apply when an analyst observes aggregate demands but not whether goods are chosen together. We require exclusion restrictions and independence between random slope coefficients and random intercepts. We do not require regressors to have large supports or parametric assumptions.

Suggested Citation

  • Roy Allen & John Rehbeck, 2020. "Identification of Random Coefficient Latent Utility Models," Papers 2003.00276, arXiv.org.
    • Handle: RePEc:arx:papers:2003.00276
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    References listed on IDEAS

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