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Econometric Applications of Maximum Likelihood Methods

Econometric Applications of Maximum Likelihood Methods

Econometric Applications of Maximum Likelihood Methods
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Econometric Applications of Maximum Likelihood Methods Paperback - 1989

by Cramer, J. S

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Cambridge University Press. Used - Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Details

  • Title Econometric Applications of Maximum Likelihood Methods
  • Author Cramer, J. S
  • Binding Paperback
  • Edition New Ed
  • Condition Used - Very good
  • Pages 224
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, West Nyack, New York, U.S.A.
  • Publication date 1989-04-28
  • Bookseller's Inventory # 54926823-20
  • ISBN 9780521378574 / 0521378575
  • Weight 0.74 lbs (0.34 kg)
  • Dimensions 9 x 6 x 0.51 in (22.86 x 15.24 x 1.30 cm)
  • Category Business / Economics / Finance
  • Dewey Decimal Code 330.015
  • Quantity available 1

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From the publisher

The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models is usually based on the method of Maximum Likelihood, which is a well-established branch of mathematical statistics. Its use in econometrics has led to the development of a number of special techniques; the specific conditions of econometric research moreover demand certain changes in the interpretation of the basic argument. This book is a self-contained introduction to this field. It consists of three parts. The first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete choice and related micro-economic models. Readers should already be familiar with elementary statistical theory, with applied econometric research papers, or with the literature on the mathematical basis of Maximum Likelihood theory. They can also try their hand at some advanced econometric research of their own.

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