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26%OFFA. Ronald Gallant - An Introduction to Econometric Theory. Measure-theoretic Probability and Statistics with Applications to Economics.  - 9780691016450 - V9780691016450
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An Introduction to Econometric Theory. Measure-theoretic Probability and Statistics with Applications to Economics.

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Description for An Introduction to Econometric Theory. Measure-theoretic Probability and Statistics with Applications to Economics. Hardcover. 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.
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 ... Read more

Product Details

Format
Hardback
Publication date
1997
Publisher
Princeton University Press United States
Number of pages
208
Condition
New
Number of Pages
208
Place of Publication
New Jersey, United States
ISBN
9780691016450
SKU
V9780691016450
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1

About A. Ronald Gallant
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 ... Read more

Reviews for An Introduction to Econometric Theory. Measure-theoretic Probability and Statistics with Applications to Economics.
"This is an excellent book ... There are chapters on probability, random variables and expectations, distributions and convergence concepts... It is very concise, yet treat most relevant topics in a clear and precise way."
Mathematical Reviews

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


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