Estimating regression equations with common explanatory variables but unequal numbers of observations-Reference-Cited by-同舟云学术

Estimating regression equations with common explanatory variables but unequal numbers of observations

Published:1985-02 Issue:2 Volume:27 Page:179-196
ISSN:0304-4076
Container-title:Journal of Econometrics
language:en
Short-container-title:Journal of Econometrics

Author:

Conniffe Denis

Publisher

Elsevier BV

Subject

Applied Mathematics,Economics and Econometrics

Reference17 articles.

1. Maximum likelihood estimates for a multivariate normal distribution when some observations are missing;Anderson;Journal of the American Statistical Association,1957

2. Missing values in multivariate analysis;Beale;Journal of the Royal Statistical Society B,1975

3. A method of estimation of missing values in multivariate data suitable for use with an electronic computer;Buck;Journal of the Royal Statistical Society B,1960

4. Double sampling with regression in comparative studies of carcass composition;Conniffe;Biometrics,1972

5. The use of incomplete observations in multiple regression analysis: A generalised least squares approach;Dagenais;Journal of Econometrics,1973

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