Advanced Econometrics With Eviews Concepts An Exercises
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Advanced Econometrics with Eviews. Concepts an Exercises
This book develop a wide typology of advanced econometric models including dynamic models, simultaneous equations models, non-linear models, multivariate time series models, models with panel data and the theory of unit roots and models data cointegration. As for dynamic models, include models with distributed delays, models with stochastic regressors, models with structural change and dynamic panel data models. Widely is the theory of unit roots, the Cointegration and error correction models. Multi-equation econometric models are characterized by the presence of several equations to simultaneously estimate. It is thus a generalization of the simple-equation models in the field of systems of equations. Simultaneous equations in linear models, incorporating the identification of models and techniques of estimation theory are covered in this book (MCI, MC2E, MC3E, RANR, SUR, etc.). Then the models are dealt with multivariate time series (VAR VARX, VARMA, BVAR, VEC) dealing the Cointegration theory from the multi-equation econometric models. Also discussed in depth econometrics with both static and dynamic panel data models, considering at the same time the static and dynamic models as well as the theory of unit roots and Cointegration in Panel. Finally, it deepens on single-equational models and multi-equational non-linear models. The development of practical exercises is done using software EVIEWS, one of the most current market suitable for these non-trivial econometric tasks.
A Practical Introduction to Econometric Methods
The text is aimed at final-year undergraduate students or those at the graduate level doing econometrics for the first time. It is an introductory course in the theory and practice of classical and modern econometric methods. A proper study of the material will allow the reader to - Understand the scope and limitations of classical and modern econometric techniques - Read, write and properly interpret articles and reports of an applied econometric nature - Build upon the elements of econometric theory and practice introduced in the book Although some basic knowledge of matrix algebra and elementary statistical theory will be assumed, much of it is covered in the body of the text. All the main theoretical concepts are illustrated with the use of econometric software, mainly EViews.
A Guide to Modern Econometrics
This revised and updated edition of A Guide to Modern Econometrics continues to explore a wide range of topics in modern econometrics by focusing on what is important for doing and understanding empirical work. It serves as a guide to alternative techniques with the emphasis on the intuition behind the approaches and their practical relevance. New material includes Monte Carlo studies, weak instruments, nonstationary panels, count data, duration models and the estimation of treatment effects. Features of this book include: Coverage of a wide range of topics, including time series analysis, cointegration, limited dependent variables, panel data analysis and the generalized method of moments Empirical examples drawn from a wide variety of fields including labour economics, finance, international economics, environmental economics and macroeconomics. End-of-chapter exercises review key concepts in light of empirical examples.