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The generalized method of moments (GMM) estimation has emerged as providing a ready to use, flexible tool of application to a large number of econometric and economic models by relying on mild, plausible assumptions. The principal objective of this volume is to offer a complete presentation of the theory of GMM estimation as well as insights into the use of these methods in empirical studies. It is also designed to serve as a unified framework for teaching estimation theory in econometrics. Contributors to the volume include well-known authorities in the field based in North America, the UK/Europe, and Australia. The work is likely to become a standard reference for graduate students and professionals in economics, statistics, financial modeling, and applied mathematics.
This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. The last two decades or so, the use of panel data has become a standard in many areas of economic analysis. The available models formulations became more complex, the estimation and hypothesis testing methods more sophisticated. The interaction between economics and econometrics resulted in a huge publication output, deepening and widening immensely our knowledge and understanding in both. The traditional panel data, by nature, are two-dimensional. Lately, however, as part of the big data revolution, there has been a rapid emergence of three, four and ev...
This restructured, updated Third Edition provides a general overview of the econometrics of panel data, from both theoretical and applied viewpoints. Readers discover how econometric tools are used to study organizational and household behaviors as well as other macroeconomic phenomena such as economic growth. The book contains sixteen entirely new chapters; all other chapters have been revised to account for recent developments. With contributions from well known specialists in the field, this handbook is a standard reference for all those involved in the use of panel data in econometrics.
Zusammenfassung: This book takes stock of and analyses the direct and indirect effects of the war in Ukraine, the policy response to the shock across countries, as well as the potential medium-term economic and social implications and policy challenges. The last decade most Central and Eastern European (CEE) economies have been on a convergence path towards the EU average according to the main economic indicators. In 2022, however, the terrible war in Ukraine had major spillovers to the rest of the world, with the CEE economies being among the most exposed. The millions of refugees, the disruptions to energy supply, trade and supply chains, the surge in inflation, the tightening of global fi...
This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econometrics toolbox in theory and in practice. Throughout the volume, the authors raise and answer six questions: 1) What are the similarities between existing econometric and machine learning techniques? 2) To what extent can machine learning techniques assist econometric investigation? Specifically, how robust or stable is the prediction from machine learning algorithms given the ever-changing nature of human behavior? 3) Can machine learning techniques assist in testing statistical hypotheses and identifying causal relationships in ‘...
Capturing Campaign Effects is the definitive study to date of the influence of campaigns on political culture. Comprising a broad exploration of campaign factors (debates, news coverage, advertising, and polls) and their effects (priming, learning, and persuasion), as well as an impressive survey of techniques for the collection and analysis of campaign data, Capturing Campaign Effects examines different kinds of campaigns in the U.S. and abroad and presents strong evidence for significant campaign effects. "Capturing Campaign Effects is an accessible and penetrating account of modern scholarship on electoral politics. It draws critical insights from a range of innovative analyses." --Arthur...
This paper empirically evaluates the validity of the term structure of interest rates in a low-interest-rate environment. Applying a time-series method to high-frequency Japanese data, the term-structure model is found to be useful for economic analysis only when interest rates are high. When interest rates are low, the usefulness of the model declines, since the interest spread contains little information that can be used for predicting future economic activity. The term-structure relationship is also weakened by the Bank of Japan's use of interest rate smoothing.
This book is a printed edition of the Special Issue "Econometrics and Income Inequality" that was published in Econometrics