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In An Introduction to Classical Econometric Theory Paul A. Ruud shows the practical value of an intuitive approach to econometrics. Students learn not only why but how things work. Through geometry, seemingly distinct ideas are presented as the result of one common principle, making econometrics more than mere recipes or special tricks. In doing this, the author relies on such concepts as the linear vector space, orthogonality, and distance. Parts I and II introduce the ordinary least squares fitting method and the classical linear regression model, separately rather than simultaneously as in other texts. Part III contains generalizations of the classical linear regression model and Part IV develops the latent variable models that distinguish econometrics from statistics. To motivate formal results in a chapter, the author begins with substantive empirical examples. Main results are followed by illustrative special cases; technical proofs appear toward the end of each chapter.
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An Introduction to Classical Econometric Theory
2000, Oxford University Press
Hardcover
in English
0195111648 9780195111644
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"Actual examples frequently introduce new ideas better than abstract descriptions and so we launch our study of econometrics with an analysis of the earnings of individuals."
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August 5, 2023 | Edited by AgentSapphire | remove incorrect ocaid |
August 14, 2022 | Edited by MARC Bot | normalize LCCNs |
December 1, 2020 | Edited by MARC Bot | import existing book |
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April 29, 2008 | Created by an anonymous user | Imported from amazon.com record. |