REGRESSION ANALYSIS WITH COMPLEX SURVEY DATA: A COMPARISON OF ESTIMATION TECHNIQUES

Stan Daberkow

No 279097, 1984 Annual Meeting, August 5-8, Ithaca, New York from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

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.

Keywords: Agricultural and Food Policy; Public Economics (search for similar items in EconPapers)
Pages: 16
Date: 1984-08
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea84:279097

DOI: 10.22004/ag.econ.279097

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