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Econometrica Vol. 51 No. 2 1983

Robust Sets of Regression Estimates

C. Zachary Gilstein; Edward E. Leamer

Abstract

[In most statistical estimation problems, the distribution of errors is unknown, and the traditional assumption of normality is used for convenience. We investigate here the fragility of the inferences based on normality by hypothesizing a neighborhood of distributions around the normal distribution, and by identifying the set of alternative maximum likelihood estimates corresponding to the set of error distributions.]

DOI
10.2307/1911992
Volume
51
Issue
2
Pages
321
Sources
bibtex:phds-export.bib crossref openalex

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