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Estimation of SEs for heteroscedastic and cross-sectionally correlated data

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  • Chung-Ki Min

Abstract

This study develops SE estimators for heteroscedastic and cross-sectionally correlated data. The new estimators are a cross-sectional version of the White and Domowitz (1984) and Newey and West (1987) estimators, and therefore, consistent in the presence of heteroscedasticity and cross correlation of unknown form. Unlike the estimators in the literature, these estimators can control for cross correlation even for single-period cross-sectional data.

Suggested Citation

  • Chung-Ki Min, 2010. "Estimation of SEs for heteroscedastic and cross-sectionally correlated data," Applied Economics, Taylor & Francis Journals, vol. 42(14), pages 1825-1832.
  • Handle: RePEc:taf:applec:v:42:y:2010:i:14:p:1825-1832
    DOI: 10.1080/00036840701736172
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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Bernard, Vl, 1987. "Cross-Sectional Dependence And Problems In Inference In Market-Based Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 25(1), pages 1-48.
    3. Wojciech Florkowski & Camilo Sarmiento, 2005. "The examination of pecan price differences using spatial correlation estimation," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 271-278.
    4. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    5. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    6. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    7. White, Halbert & Domowitz, Ian, 1984. "Nonlinear Regression with Dependent Observations," Econometrica, Econometric Society, vol. 52(1), pages 143-161, January.
    8. Froot, Kenneth A., 1989. "Consistent Covariance Matrix Estimation with Cross-Sectional Dependence and Heteroskedasticity in Financial Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(3), pages 333-355, September.
    9. Alon Brav, 2000. "Inference in Long‐Horizon Event Studies: A Bayesian Approach with Application to Initial Public Offerings," Journal of Finance, American Finance Association, vol. 55(5), pages 1979-2016, October.
    10. Camilo Sarmiento & William Wilson, 2007. "Spatially correlated exit strategies in the baking industry," Applied Economics, Taylor & Francis Journals, vol. 39(4), pages 441-448.
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