An Introduction to Econometric Theory. Measure-theoretic Probability and Statistics with Applications to Economics.

A. Ronald Gallant

ISBN 10: 0691016453 / ISBN 13: 9780691016450

Published by Princeton University Press, 1997

About this Item

Intended primarily to prepare first-year graduate students for their ongoing work in econometrics, economic theory, and finance, this book presents the fundamental concepts of theoretical econometrics, from measure-theoretic probability to statistics. It also features ideas and presents them as solutions to practical problems. Num Pages: 208 pages, 21 line illus. 6 tables. BIC Classification: KCA; KCHS. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 241 x 164 x 17. Weight in Grams: 1548. . 1997. Hardcover. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780691016450

Bibliographic Details

• Title: An Introduction to Econometric Theory. Measure-theoretic Probability and Statistics with Applications to Economics.
• Publisher: Princeton University Press
• Publication Date: 1997
• Language: English
• ISBN 10: 0691016453
• ISBN 13: 9780691016450
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Intended primarily to prepare first-year graduate students for their ongoing work in econometrics, economic theory, and finance, this innovative book presents the fundamental concepts of theoretical econometrics, from measure-theoretic probability to statistics. A. Ronald Gallant covers these topics at an introductory level and develops the ideas to the point where they can be applied. He thereby provides the reader not only with a basic grasp of the key empirical tools but with sound intuition as well.


In addition to covering the basic tools of empirical work in economics and finance, Gallant devotes particular attention to motivating ideas and presenting them as the solution to practical problems. For example, he presents correlation, regression, and conditional expectation as a means of obtaining the best approximation of one random variable by some function of another. He considers linear, polynomial, and unrestricted functions, and leads the reader to the notion of conditioning on a sigma-algebra as a means for finding the unrestricted solution. The reader thus gains an understanding of the relationships among linear, polynomial, and unrestricted solutions. Proofs of results are presented when the proof itself aids understanding or when the proof technique has practical value.


A major text-treatise by one of the leading scholars in this field, An Introduction to Econometric Theory will prove valuable not only to graduate students but also to all economists, statisticians, and finance professionals interested in the ideas and implications of theoretical econometrics.

About the Author

A. Ronald Gallant is Henry A. Latané Distinguished Professor of Economics at the University of North Carolina at Chapel Hill. He is a Fellow of the Econometric Society and the American Statistical Association, and a member of the Board of Directors of the National Bureau of Economic Research and the National Institute of Statistical Science. His books include Nonlinear Statistical Models. He is coeditor of the Journal of Econometrics.