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Review of Economic Studies Vol. 58 No. 2 1991

Testing for Heterogeneous Parameters in Least-Squares Approximations

Jayasri Dutta1,2; H. L. Leon3

1 Columbia University · 2 Barnard College · 3 SUNY Old Westbury

Abstract

This paper suggests tests for the heterogeneity of parameters in linear least-squares estimation. The tests are based on the properties of resampled estimates, and test the hypotheses that the parameters have a common mean, or that they are independently and identically distributed. The tests can be viewed as the analogue of those based on recursive residuals, in cross-sectional models. We analyse the properties of tests based on jack-knifed estimates in the linear regression model, and compare their performance in a small empirical application.

DOI
10.2307/2297969
Volume
58
Issue
2
Pages
299
Sources
bibtex:phds-export.bib openalex crossref

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