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Econometrica Vol. 56 No. 4 1988

Optimal Experimental Design for Error Components Models

Dennis J. Aigner; Pietro Balestra

Abstract

Social experiments are characterized by their high cost. A tempting alternative to the establishment of a contemporaneous statistical control group is preexempt observat ion of the treatment group. In this paper, the authors analyze the tr ade-off between these two types of "con-trol" as functions of their relative cost and information content in a multiperiod error compone nts framework, where the allocation of observations across the two gr oups is always done in an optimal manner. Solutions for the optimal p roportion of the sample to be devoted to the contemporaneous control group are presented and their behavior as a function of relevant para meters is studied.

DOI
10.2307/1912706
Volume
56
Issue
4
Pages
955
Sources
bibtex:phds-export.bib crossref openalex

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