Econometric Applications of Maximum Likelihood Methods

Jan Salomon Cramer

ISBN 10: 0521378575 / ISBN 13: 9780521378574

Published by Cambridge University Press, 1989

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9780521378574

Bibliographic Details

• Title: Econometric Applications of Maximum Likelihood Methods
• Publisher: Cambridge University Press
• Publication Date: 1989
• Language: English
• ISBN 10: 0521378575
• ISBN 13: 9780521378574
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 13D millimeters 229 millimeters width by 152 millimeters height by 13 millimeters depth
• Weight: 371 grams

About this title

Synopsis

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.

Book Description

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.