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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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    5. Mark Ottoni-Wilhelm & Lise Vesterlund & Huan Xie, 2017. "Why Do People Give? Testing Pure and Impure Altruism," American Economic Review, American Economic Association, vol. 107(11), pages 3617-3633, November.
    6. Hasegawa, Makoto & Kiyota, Kozo, 2017. "The effect of moving to a territorial tax system on profit repatriation: Evidence from Japan," Journal of Public Economics, Elsevier, vol. 153(C), pages 92-110.
    7. Bo E. Honoré & Luojia Hu, 2018. "Simpler bootstrap estimation of the asymptotic variance of U‐statistic‐based estimators," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-10, February.
    8. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2016. "Preschool Children’s Demand for Sugar Sweetened Beverages: Evidence from Stated-Preference Panel Data," Melbourne Institute Working Paper Series wp2016n25, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    9. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2020. "Parents' Demand for Sugar Sweetened Beverages for Their Pre‐School Children: Evidence from a Stated‐Preference Experiment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 480-504, March.
    10. Lin, Boqiang & Zhu, Junpeng, 2019. "Impact of energy saving and emission reduction policy on urban sustainable development: Empirical evidence from China," Applied Energy, Elsevier, vol. 239(C), pages 12-22.
    11. Pierre-Louis Vezina & Lorenzo Rotunno, 2013. "In-bond Diversion," Economics Series Working Papers 664, University of Oxford, Department of Economics.
    12. Ritter, Nolan & Schmidt, Christoph M. & Vance, Colin, 2016. "Short-run fuel price responses: At the pump and on the road," Energy Economics, Elsevier, vol. 58(C), pages 67-76.

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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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