Statistical Inference in Random Coefficient Regression Models

This short monograph which presents a unified treatment of the theory of estimating an economic relationship from a time series of cross-sections, is based on my Ph. D. dissertation submitted to the University of Wisconsin, Madison. To the material developed for that purpose, I have added the substa...

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1. Verfasser: Swamy, P.A.V.B (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Berlin, Heidelberg Springer Berlin Heidelberg 1971
Ausgabe:1st ed. 1971
Schriftenreihe:Lecture Notes in Economics and Mathematical Systems 55
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spelling Swamy, P.A.V.B. Verfasser aut
Statistical Inference in Random Coefficient Regression Models by P.A.V.B. Swamy
1st ed. 1971
Berlin, Heidelberg Springer Berlin Heidelberg 1971
1 Online-Ressource (VIII, 210 p)
txt rdacontent
c rdamedia
cr rdacarrier
Lecture Notes in Economics and Mathematical Systems 55
This short monograph which presents a unified treatment of the theory of estimating an economic relationship from a time series of cross-sections, is based on my Ph. D. dissertation submitted to the University of Wisconsin, Madison. To the material developed for that purpose, I have added the substance of two subsequent papers: "Efficient methods of estimating a regression equation with equi-correlated disturbances", and "The exact finite sample properties of estimators of coefficients in error components regression models" (with Arora) which form the basis for Chapters 11 and III respectively. One way of increasing the amount of statistical information is to assemble the cross-sections of successive years. To analyze such a body of data the traditional linear regression model is not appropriate and we have to introduce some additional complications and assumptions due to the hetero­ geneity of behavior among individuals. These complications have been discussed in this monograph. Limitations of economic data, particularly their non-experimental nature, do not permit us to know a priori the correct specification of a model. I have considered several different sets of assumptionR about the stability of coeffi­ cients and error variances across individuals and developed appropriate inference procedures. I have considered only those sets of assumptions which lead to opera­ tional procedures. Following the suggestions of Kuh, Klein and Zellner, I have adopted the linear regression models with some or all of their coefficients varying randomly across individuals
Economic Theory/Quantitative Economics/Mathematical Methods
Economic theory
Inferenzstatistik (DE-588)4247120-5 gnd rswk-swf
Operations Research (DE-588)4043586-6 gnd rswk-swf
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https://doi.org/10.1007/978-3-642-80653-7 Verlag URL des Erstveröffentlichers Volltext
spellingShingle Swamy, P.A.V.B
Statistical Inference in Random Coefficient Regression Models
Economic Theory/Quantitative Economics/Mathematical Methods
Economic theory
Inferenzstatistik (DE-588)4247120-5 gnd
Operations Research (DE-588)4043586-6 gnd
Regressionsmodell (DE-588)4127980-3 gnd
subject_GND (DE-588)4247120-5
(DE-588)4043586-6
(DE-588)4127980-3
(DE-588)4113937-9
title Statistical Inference in Random Coefficient Regression Models
title_auth Statistical Inference in Random Coefficient Regression Models
title_exact_search Statistical Inference in Random Coefficient Regression Models
title_full Statistical Inference in Random Coefficient Regression Models by P.A.V.B. Swamy
title_fullStr Statistical Inference in Random Coefficient Regression Models by P.A.V.B. Swamy
title_full_unstemmed Statistical Inference in Random Coefficient Regression Models by P.A.V.B. Swamy
title_short Statistical Inference in Random Coefficient Regression Models
title_sort statistical inference in random coefficient regression models
topic Economic Theory/Quantitative Economics/Mathematical Methods
Economic theory
Inferenzstatistik (DE-588)4247120-5 gnd
Operations Research (DE-588)4043586-6 gnd
Regressionsmodell (DE-588)4127980-3 gnd
topic_facet Economic Theory/Quantitative Economics/Mathematical Methods
Economic theory
Inferenzstatistik
Operations Research
Regressionsmodell
Hochschulschrift
url https://doi.org/10.1007/978-3-642-80653-7
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