Estimation and Inference in Econometrics

Name: Estimation and Inference in Econometrics
Brand: Oxford University Press, USA
SKU: 9780195060119
Price: 16832.0 INR
Availability: InStock

by Russell Davidson , James G. MacKinnon

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ISBN13: 9780195060119
Binding: Hardcover
Subject: N/A
Publisher: Oxford University Press, USA
Publisher Imprint: Oxford University Press, USA
Publication Date: January 14, 1993
Pages: 896
Original Price: GBP 116.99
Language: English
Edition: N/A
Item Weight: 1398 grams
BISAC Subject(s): Econometrics

About The Book

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.

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