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Small-sample inference with spatial HAC estimators

Author

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  • Dorn, Sabrina
  • Egger, Peter H.

Abstract

This paper examines the small-sample performance of spatial HAC (SHAC) estimators of the standard errors on parameters. We find that, in small to moderately-sized datasets, the use of HAC estimators may be recommended only with a relatively large degree of cross-sectional interdependence.

Suggested Citation

  • Dorn, Sabrina & Egger, Peter H., 2014. "Small-sample inference with spatial HAC estimators," Economics Letters, Elsevier, vol. 125(2), pages 236-239.
    • Handle: RePEc:eee:ecolet:v:125:y:2014:i:2:p:236-239
    DOI: 10.1016/j.econlet.2014.09.004
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    References listed on IDEAS

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    1. Elias Papaioannou, 2014. "National Institutions and Subnational Development in Africa," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 151-213.
    2. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    3. Kim, Min Seong & Sun, Yixiao, 2011. "Spatial heteroskedasticity and autocorrelation consistent estimation of covariance matrix," Journal of Econometrics, Elsevier, vol. 160(2), pages 349-371, February.
    4. Melissa Dell, 2010. "The Persistent Effects of Peru's Mining Mita," Econometrica, Econometric Society, vol. 78(6), pages 1863-1903, November.
    5. 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.
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    Cited by:

    1. Chasco, Coro & Le Gallo, Julie & López, Fernando A., 2018. "A scan test for spatial groupwise heteroscedasticity in cross-sectional models with an application on houses prices in Madrid," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 226-238.

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    More about this item

    Keywords

    Spatial econometrics; HAC estimation; Robust estimation;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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