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PubMed · 7461231

Improving accuracy in multiple regression estimates of population using principles from causal modelling.

D A Swanson
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Abstract

This paper reports a mildly restricted procedure for using a theoretical causal ordering and principles from path analysis to provide a basis for modifying regression coefficients in order to improve the estimation accuracy of the ratio-correlation method of population estimation. The modification is intended to take into account temporal changes in the structure of variable relationships, a major element in determining the accuracy of post-censal estimate. The modification of coefficients is conservative in that is uses rank-ordering as a basis of change. Empirical results are reported for counties in Washington state that demonstrate the increased accuracy obtained using the proposed procedure.

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D A Swanson. 1980. Improving accuracy in multiple regression estimates of population using principles from causal modelling.. https://pubmed.ncbi.nlm.nih.gov/7461231/

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