Empirical Modeling in Economics

Empirical Modeling in Economics PDF Author: Clive W. J. Granger
Publisher: Cambridge University Press
ISBN: 9780521778251
Category : Business & Economics
Languages : en
Pages : 116

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Book Description
Lucid account of the process of constructing and evaluating an empirical model.

Empirical Modeling in Economics

Empirical Modeling in Economics PDF Author: Clive W. J. Granger
Publisher: Cambridge University Press
ISBN: 9780521778251
Category : Business & Economics
Languages : en
Pages : 116

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Book Description
Lucid account of the process of constructing and evaluating an empirical model.

Handbook of Empirical Economics and Finance

Handbook of Empirical Economics and Finance PDF Author: Aman Ullah
Publisher: CRC Press
ISBN: 9781420070361
Category : Mathematics
Languages : en
Pages : 532

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Book Description
Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data. Well-recognized econometric experts discuss the rapidly growing research in economics and finance and offer insight on the future direction of these fields. Focusing on micro models, the first group of chapters describes the statistical issues involved in the analysis of econometric models with cross-sectional data often arising in microeconomics. The book then illustrates time series models that are extensively used in empirical macroeconomics and finance. The last set of chapters explores the types of panel data and spatial models that are becoming increasingly significant in analyzing complex economic behavior and policy evaluations. This handbook brings together both background material and new methodological and applied results that are extremely important to the current and future frontiers in empirical economics and finance. It emphasizes inferential issues that transpire in the analysis of cross-sectional, time series, and panel data-based empirical models in economics, finance, and related disciplines.

Empirical Modeling in Economics

Empirical Modeling in Economics PDF Author: C. W. J. Granger
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 0

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Book Description


Empirical Modeling of Exchange Rate Dynamics

Empirical Modeling of Exchange Rate Dynamics PDF Author: Francis X. Diebold
Publisher: Springer Science & Business Media
ISBN: 3642456413
Category : Business & Economics
Languages : en
Pages : 153

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Book Description
Structural exchange rate modeling has proven extremely difficult during the recent post-1973 float. The disappointment climaxed with the papers of Meese and Rogoff (1983a, 1983b), who showed that a "naive" random walk model distinctly dominated received theoretical models in terms of predictive performance for the major dollar spot rates. One purpose of this monograph is to seek the reasons for this failure by exploring the temporal behavior of seven major dollar exchange rates using nonstructural time-series methods. The Meese-Rogoff finding does not mean that exchange rates evolve as random walks; rather it simply means that the random walk is a better stochastic approximation than any of their other candidate models. In this monograph, we use optimal model specification techniques, including formal unit root tests which allow for trend, and find that all of the exchange rates studied do in fact evolve as random walks or random walks with drift (to a very close approximation). This result is consistent with efficient asset markets, and provides an explanation for the Meese-Rogoff results. Far more subtle forces are at work, however, which lead to interesting econometric problems and have implications for the measurement of exchange rate volatility and moment structure. It is shown that all exchange rates display substantial conditional heteroskedasticity. A particularly reasonable parameterization of this conditional heteroskedasticity, which captures the observed clustering of prediction error variances, is developed in Chapter 2.

Agent-Based Models in Economics

Agent-Based Models in Economics PDF Author: Domenico Delli Gatti
Publisher: Cambridge University Press
ISBN: 1108414990
Category : Business & Economics
Languages : en
Pages : 261

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Book Description
The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.

Empirical Modeling in Economics

Empirical Modeling in Economics PDF Author: Clive William John Granger
Publisher:
ISBN: 9781107118416
Category : Econometric models
Languages : en
Pages : 99

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Book Description
Clive W.J. Granger is widely regarded as one of the greatest living social scientists. In this book, designed for scholars, researchers and senior undergraduates, he considers the process of constructing and evaluating an empirical model. Using case-studies from the arts and social sciences he provides a concise and entertaining account.

Dynamic Econometrics

Dynamic Econometrics PDF Author: David F. Hendry
Publisher:
ISBN: 9780198283164
Category : Business & Economics
Languages : en
Pages : 918

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Book Description
The main problem in econometric modelling of time series is discovering sustainable and interpretable relationships between observed economic variables. The primary aim of this book is to develop an operational econometric approach which allows constructive modelling. Professor Hendry deals with methodological issues (model discovery, data mining, and progressive research strategies); with major tools for modelling (recursive methods, encompassing, super exogeneity, invariance tests); and with practical problems (collinearity, heteroscedasticity, and measurement errors). He also includes an extensive study of US money demand. The book is self-contained, with the technical background covered in appendices. It is thus suitable for first year graduate students, and includes solved examples and exercises to facilitate its use in teaching. About the Series Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.

Empirical Regional Economics

Empirical Regional Economics PDF Author: Richard S. Conway Jr.
Publisher: Springer Nature
ISBN: 3030766462
Category : Business & Economics
Languages : en
Pages : 276

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Book Description
This textbook offers an introduction to empirical regional economics, including a comprehensive and systematic overview of the fundamentals, history, development, and applications of economic base models. It not only provides a sound basis for regional economics and regional economic analysis, but it also includes numerous applications of the underlying theory. The book has an empirical orientation, highlighting the value of observation and testing in order to explain regional economic behavior. Theory plays an important role in this study, but it is only a starting point. The book is divided into three parts: the first discusses the economic base theory of regional growth and the empirical evidence supporting it, while the second part covers the specification and application of four increasingly complex regional economic models: the economic base model, the input-output model, the interindustry econometric model, and the structural time-series model. Lastly, the third part presents forty-eight regional economic case studies organized under seven headings, including economic cycles, economic policy, and regional forecasting. Given its scope, the book appeals to upper-undergraduate and graduate students majoring in economics, economic geography, and business, as well as to anyone in the private or public sector interested in gaining a better understanding of practical methods of regional economic forecasting and analysis. For additional course material, please check the author's website: https://www.empiricalregionaleconomics.com/

Empirical Models and Policy Making

Empirical Models and Policy Making PDF Author: Mary Morgan
Publisher: Routledge
ISBN: 113457312X
Category : Business & Economics
Languages : en
Pages : 416

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Book Description
This collection, written by highly-placed practitioners and academic economists, provides a picture of how economic modellers and policy makers interact. The book provides international case studies of particular interactions between models and policy making, and argues that the flow of information is two-way.

Empirical Model Discovery and Theory Evaluation

Empirical Model Discovery and Theory Evaluation PDF Author: David F. Hendry
Publisher: MIT Press
ISBN: 0262028352
Category : Business & Economics
Languages : en
Pages : 387

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Book Description
A synthesis of the authors' groundbreaking econometric research on automatic model selection, which uses powerful computational algorithms and theory evaluation. Economic models of empirical phenomena are developed for a variety of reasons, the most obvious of which is the numerical characterization of available evidence, in a suitably parsimonious form. Another is to test a theory, or evaluate it against the evidence; still another is to forecast future outcomes. Building such models involves a multitude of decisions, and the large number of features that need to be taken into account can overwhelm the researcher. Automatic model selection, which draws on recent advances in computation and search algorithms, can create, and then empirically investigate, a vastly wider range of possibilities than even the greatest expert. In this book, leading econometricians David Hendry and Jurgen Doornik report on their several decades of innovative research on automatic model selection. After introducing the principles of empirical model discovery and the role of model selection, Hendry and Doornik outline the stages of developing a viable model of a complicated evolving process. They discuss the discovery stages in detail, considering both the theory of model selection and the performance of several algorithms. They describe extensions to tackling outliers and multiple breaks, leading to the general case of more candidate variables than observations. Finally, they briefly consider selecting models specifically for forecasting.