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Автор Lien, Donald
Автор Rearden, David
Дата выпуска 1992
dc.description In this note, we consider the problem of estimating regression coefficients when there are missing observations of some explanatory variables. Following Dagenais (1973), Gourieroux and Monfort (1981), and Conniffe (1983a, 1983b), we assume auxiliary relationships exist among explanatory varibles. Several estimatprs and their interrelationships are discussed. We begin with the model of Gourieroux and Monfort (1981)
Формат application.pdf
Издатель Marcel Dekker, Inc.
Копирайт Copyright Taylor and Francis Group, LLC
Название A note on estimating regression coefficients with missing data
Тип research-article
DOI 10.1080/07474939208800224
Electronic ISSN 1532-4168
Print ISSN 0747-4938
Журнал Econometric Reviews
Том 11
Первая страница 119
Последняя страница 122
Аффилиация Lien, Donald; Department of Economics, University of Kansas
Аффилиация Rearden, David; Department of Economics, Cleveland State University
Выпуск 1
Библиографическая ссылка Afifi, A. A. and Elashoff, R. M. 1967. Missing observations in multivariate statistics 11. Point estimation in simple linear regression. Journal of the American Statistical Association, 62: 10–29.
Библиографическая ссылка Conniffe, D. 1978. Substituting Means for Missing Observations in Regression. The Economic and Social Review, 9: 329–334.
Библиографическая ссылка Conniffe, D. 1983a. Comments on the weighted regression approach to missing values. The Economic and Social Review, 14: 259–272.
Библиографическая ссылка Conniffe, D. 1983b. Small-sample properties of estimators of regression coefficients given a common pattern of missing data. Review of Economic Studies, 50: 111–120.
Библиографическая ссылка Dagenais, M. G. 1973. The use of incomplete observations in multiple regression analysis. Journal of Econometrics, 1: 317–328.
Библиографическая ссылка Gourieroux, C. and Monfort, A. 1981. On the problem of missing data in linear models. Review of Economic Studies, 48: 579–586.

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