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Estimation and Inference in Econometrics

Estimation and Inference in Econometrics

by Russell Davidson and James G. MacKinnon
Hardback
Publication Date: 01/07/1993

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$310.95
Offering students a unifying theoretical perspective, this innovative text emphasizes nonlinear techniques of estimation, including nonlinear least squares, nonlinear instrumental variables, maximum likelihood and the generalized method of moments, but nevertheless relies heavily on simple geometrical arguments to develop intuition. One theme of the book is the use of artificial regressions for estimation, inference, and specification testing of nonlinear models,
including diagnostic tests for parameter constancy, series correlation, heteroskedasticity and other types of misspecification. Other topics include the linear simultaneous equations model, non-nested
hypothesis tests, influential observations and leverage, transformations of the dependent variable, binary response models, models for time-series/cross-section data, multivariate models, seasonality, unit roots and cointegration, and Monte Carlo methods, always with an emphasis on problems that arise in applied work. Explaining throughout how estimates can be obtained and tests can be carried out, the text goes beyond a mere algebraic description to one that can be easily translated into the
commands of a standard econometric software package. A comprehensive and coherent guide to the most vital topics in econometrics today, this text is indispensable for all levels of students of
econometrics, economics, and statistics on regression and related topics.
ISBN:
9780195060119
9780195060119
Category:
Econometrics
Format:
Hardback
Publication Date:
01-07-1993
Language:
English
Publisher:
Oxford University Press Inc
Country of origin:
United States
Pages:
894
Dimensions (mm):
245x163x48mm
Weight:
1.42kg

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