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Variable Differencing and GMM Estimation with Panel Data with Errors-In-Variables

Author

Listed:
  • Biorn, E.
  • Klette, T.J.

Abstract

Procedures for estimating a linear single-equation model by means of panel data with errors-in-variables are considered. To eliminate fixed individual heterogeneity, the equation is differenced across one or more than one periods. The differenced equations can be estimated by using as instruments for the differenced error-ridden regressor, level values of this regressor (both leads and lags). General Method of Moments (GMM) procedures for the complete system of differenced equations are considered.

Suggested Citation

  • Biorn, E. & Klette, T.J., 1997. "Variable Differencing and GMM Estimation with Panel Data with Errors-In-Variables," Memorandum 1997_016, Oslo University, Department of Economics.
  • Handle: RePEc:hhs:osloec:1997_016
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    Cited by:

    1. Biorn, Erik & Klette, Tor Jakob, 1998. "Panel data with errors-in-variables: essential and redundant orthogonality conditions in GMM-estimation," Economics Letters, Elsevier, vol. 59(3), pages 275-282, June.

    More about this item

    Keywords

    MATHEMATICS ; MODELS ; EVALUATION;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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