Estimation and Inference in Econometrics (Hardcover)
Russell Davidson
Venduto da CitiRetail, Stevenage, Regno Unito
Venditore AbeBooks dal 29 giugno 2022
Nuovi - Rilegato
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Aggiungere al carrelloVenduto da CitiRetail, Stevenage, Regno Unito
Venditore AbeBooks dal 29 giugno 2022
Condizione: Nuovo
Quantità: 1 disponibili
Aggiungere al carrelloHardcover. 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-nestedhypothesis 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 thecommands 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 ofeconometrics, economics, and statistics on regression and related topics. A textbook for graduates in econometrics, covering both basic and advanced topics and using geometrical proofs throughout for clarity of exposition. The book offers a unified theoretical perspective, and emphasizes the practical applications of modern theory. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Codice articolo 9780195060119
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