Modern Linear and Nonlinear Econometrics
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ISBN-13:
9780387257600
Veröffentl:
2006
Erscheinungsdatum:
15.06.2006
Seiten:
382
Autor:
Joseph Plasmans
Gewicht:
767 g
Format:
241x169x25 mm
Sprache:
Englisch
Beschreibung:
The basic characteristic of Modern Linear and Nonlinear Econometrics is that it presents a unified approach of modern linear and nonlinear econometrics in a concise and intuitive way. It covers four major parts of modern econometrics: linear and nonlinear estimation and testing, time series analysis, models with categorical and limited dependent variables, and, finally, a thorough analysis of linear and nonlinear panel data modeling. Distinctive features of this handbook are:
This concise and intuitive book presents a unified approach of modern linear and nonlinear econometrics, integrating theory and practice. Every major topic has a number of examples, exercises or case studies, many involving the use of actual data that are typical for current empirical work and made available on the internet. This learning-by-doing method prepares readers to design, develop and successfully finish their own research and/or solve real-world problems.
Acknowledgements.- Part I. Linear and Nonlinear Econometric Inference: Estimation and Testing. Estimation in Linear and Nonlinear Models. Generalized Methods of Moments. Testing in Linear and Nonlinear Models.- Part II. Time Series Analysis. A Typology of Dynamic Models. Univariate ARIMA Models. Cointegration and Transfer Functions. Multivariate Time Series. Varying Parameters Models.- Part III. Categorical and Limited Dependent Variables. Discrete Choice Models. Limited responses, duration and count data.- Part IV. Panel Data Analysis. Linear Panel Data Models. Nonlinear Panel Data Models.- A. Nonlinear Optimization and Estimation.- B. Mathematical Formulation of GMM.- C. Stability Criteria for AR(p) Models.- D. MLE of the RSM with Endogenous Prices.- E. Volatility Modeling.
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