Econometric Methods


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Econometric Methods with Applications in Business and Economics


Econometric Methods with Applications in Business and Economics

Author: Christiaan Heij

language: en

Publisher: OUP Oxford

Release Date: 2004-03-25


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Nowadays applied work in business and economics requires a solid understanding of econometric methods to support decision-making. Combining a solid exposition of econometric methods with an application-oriented approach, this rigorous textbook provides students with a working understanding and hands-on experience of current econometrics. Taking a 'learning by doing' approach, it covers basic econometric methods (statistics, simple and multiple regression, nonlinear regression, maximum likelihood, and generalized method of moments), and addresses the creative process of model building with due attention to diagnostic testing and model improvement. Its last part is devoted to two major application areas: the econometrics of choice data (logit and probit, multinomial and ordered choice, truncated and censored data, and duration data) and the econometrics of time series data (univariate time series, trends, volatility, vector autoregressions, and a brief discussion of SUR models, panel data, and simultaneous equations). · Real-world text examples and practical exercise questions stimulate active learning and show how econometrics can solve practical questions in modern business and economic management. · Focuses on the core of econometrics, regression, and covers two major advanced topics, choice data with applications in marketing and micro-economics, and time series data with applications in finance and macro-economics. · Learning-support features include concise, manageable sections of text, frequent cross-references to related and background material, summaries, computational schemes, keyword lists, suggested further reading, exercise sets, and online data sets and solutions. · Derivations and theory exercises are clearly marked for students in advanced courses. This textbook is perfect for advanced undergraduate students, new graduate students, and applied researchers in econometrics, business, and economics, and for researchers in other fields that draw on modern applied econometrics.

Simulation-based Econometric Methods


Simulation-based Econometric Methods

Author: Christian Gourieroux

language: en

Publisher: Oxford University Press

Release Date: 1996


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High speed computing has enabled a new generation of statistical econometrics to become available. The simulation of problems that previously were too unwieldy to solve because of large integrals is now possible.

A Practical Introduction to Econometric Methods


A Practical Introduction to Econometric Methods

Author: Patrick K. Watson

language: en

Publisher:

Release Date: 2002


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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.