Microeconomic Models with Latent Variables: Applications of Measurement Error Models in Empirical Industrial Organization and Labor Economics

36 Pages Posted: 26 Jan 2015

See all articles by Yingyao Hu

Yingyao Hu

Johns Hopkins University - Department of Economics

Date Written: January 23, 2015

Abstract

This paper reviews recent developments in nonparametric identification of measurement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to an observed distribution. The identification and estimation of measurement error models focus on how to obtain the latent distribution and the measurement error distribution from the observed distribution. Such a framework may be suitable for many microeconomic models with latent variables, such as models with unobserved heterogeneity or unobserved state variables and panel data models with fixed effects. Recent developments in measurement error models allow very flexible specification of the latent distribution and the measurement error distribution. These developments greatly broaden economic applications of measurement error models. This paper provides an accessible introduction of these technical results to empirical researchers so as to expand applications of measurement error models.

Keywords: measurement error model, errors-in-variables, latent variable, unobserved heterogeneity, unobserved state variable, mixture model, hidden Markov model, dynamic discrete choice, nonparametric identification, conditional independence, endogeneity, instrument, type, unemployment rates, IPV auction, mul

JEL Classification: C01, C14, C22, C23, C26, C32, C33, C36, C57, C70, C78, D20, D31, D44, D83, D90, E24, I20, J21, J24

Suggested Citation

Hu, Yingyao, Microeconomic Models with Latent Variables: Applications of Measurement Error Models in Empirical Industrial Organization and Labor Economics (January 23, 2015). Available at SSRN: https://ssrn.com/abstract=2555111 or http://dx.doi.org/10.2139/ssrn.2555111

Yingyao Hu (Contact Author)

Johns Hopkins University - Department of Economics ( email )

3400 Charles Street
Baltimore, MD 21218-2685
United States

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