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Regression Analysis With Complex Survey Data: A Comparison Of Estimation Techniques

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  • Daberkow, Stan

Abstract

A complex survey design often necessitates the use of some approxima— tion technique when calculating regression standard errors. Two appro— ximation procedures, the Taylor expansion method (TEM) and balanced repeated replication (BRR) technique, were compared to ordinary least squares (OLS) and weighted least squares (WLS). While the regression coefficients were similar across all procedures, TEM and BRR produced larger standard error estimates than did OLS and WLS.

Suggested Citation

  • Daberkow, Stan, 1984. "Regression Analysis With Complex Survey Data: A Comparison Of Estimation Techniques," 1984 Annual Meeting, August 5-8, Ithaca, New York 279097, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea84:279097
    DOI: 10.22004/ag.econ.279097
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    References listed on IDEAS

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    1. Richard Porter, 1973. "On the Use of Survey Sample Weights in the Linear Model," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 2, pages 141-158, National Bureau of Economic Research, Inc.
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