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Estimation of panel data regression models with two-sided censoring or truncation

Author

Listed:
  • Sule Alan
  • Bo E. Honore
  • Luojia Hu
  • Soren Leth-Petersen

Abstract

This paper constructs estimators for panel data regression models with individual specific heterogeneity and two-sided censoring and truncation. Following Powell (1986) the estimation strategy is based on moment conditions constructed from re-censored or re-truncated residuals. While these moment conditions do not identify the parameter of interest, they can be used to motivate objective functions that do. We apply one of the estimators to study the effect of a Danish tax reform on household portfolio choice. The idea behind the estimators can also be used in a cross sectional setting.

Suggested Citation

  • Sule Alan & Bo E. Honore & Luojia Hu & Soren Leth-Petersen, 2011. "Estimation of panel data regression models with two-sided censoring or truncation," Working Paper Series WP-2011-08, Federal Reserve Bank of Chicago.
    • Handle: RePEc:fip:fedhwp:wp-2011-08
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    More about this item

    Keywords

    Regression analysis;

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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