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This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based inference. This includes the summary and synthesis of the many concepts and results extant in the theoretical literature, the different classes of problems and estimators, the asymptotic properties of these estimators, as well as descriptions of the different simulators in use. Second, the volume provides empirical and operational examples of SBI methods. Often what is missing, even in existing applied papers, are operational issues. Which simulator works best for which problem and why? This volume will explicitly address the important numerical and computational issues in SBI which are not covered comprehensively in the existing literature. Examples of such issues are: comparisons with existing tractable methods, number of replications needed for robust results, choice of instruments, simulation noise and bias as well as efficiency loss in practice.
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This textbook offers a comprehensive introduction to panel data econometrics, an area that has enjoyed considerable growth over the last two decades. Micro and Macro panels are becoming increasingly available, and methods for dealing with these types of data are in high demand among practitioners. Software programs have fostered this growth, including freely available programs in R and numerous user-written programs in both Stata and EViews. Written by one of the world’s leading researchers and authors in the field, Econometric Analysis of Panel Data has established itself as the leading textbook for graduate and postgraduate courses on panel data. It provides up-to-date coverage of basic ...
This monograph grew out of joint work with various dedicated colleagues and students at the Vienna Institute for Advanced Studies. We would probably never have begun without the impetus of Johann Maurer, who for some time was the spiritus rector behind the Institute's macromodel of the Austrian economy. Manfred Deistler provided sustained stimulation for our research through many discussions in his econometric research seminar. Similar credits are due to Adrian Pagan, Roberto Mariano and Garry Phillips, the econometrics guest professors at the Institute in the 1982 - 1984 period, who through their lectures and advice have contributed greatly to our effort. Hans SchneeweiB offered helpful com...
We estimate sovereign bond spreads of 28 emerging economies over the period January 1998-December 2011 and test the ability of the model in generating accurate in-sample predictions for emerging economies bond spreads. The impact and significance of country-specific and global explanatory variables on bond spreads varies across regions, as well as economic periods. During crisis times, good macroeconomic fundamentals are helpful in containing bond spreads, but less than in non-crisis times, possibly reflecting the impact of extra-economic forces on bond spreads when a financial crisis occurs. For some emerging economies, in-sample predictions of the monthly changes in bond spreads obtained with rolling regression routines are significantly more accurate than forecasts obtained with a random walk. Rolling regression-based bond spread predictions appear to convey more information than those obtained with a linear prediction method. By contrast, bond spreads forecasts obtained with a linear prediction method are less accurate than those obtained with random guessing.
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Recent studies show that almost all industrial countries have experienced dramatic decreases in both fertility and mortality rates. This situation has led to aging societies with economies that suffer from both a decline in the working population and a rise in fiscal deficits linked to increased government spending. East Asia exemplifies these trends, and this volume offers an in-depth look at how long-term demographic transitions have taken shape there and how they have affected the economy in the region. The Economic Consequences of Demographic Change in East Asia assembles a group of experts to explore such topics as comparative demographic change, population aging, the rising cost of health care, and specific policy concerns in individual countries. The volume provides an overview of economic growth in East Asia as well as more specific studies on Japan, Korea, China, and Hong Kong. Offering important insights into the causes and consequences of this transition, this book will benefit students, researchers, and policy makers focused on East Asia as well as anyone concerned with similar trends elsewhere in the world.
This book considers the benefits of complexity, suggesting that economists should become a bit less certain in their policy conclusions. A broader range of models would include agent-based models, which use computational power to deal with specification of models that are far beyond analytic solution; and non-linear dynamic stochastic models, many of which are beyond analytic solution, but whose nature can be discovered by a combination of analytics and computer simulations.
Using panel data of individual firms drawn from French surveys, a structural analysis is developed to study the formation of production plans and the rationality of expectations. The production decision of a firm is defined as the optimal solution of a dynamic stochastic optimization problem. The empirical work amounts to recovering the structural parameters characterizing the model of the firm from estimates of the derived decision rule. The preceding analysis of production plans is based on the assumption that firms are rational. To justify this assumption, direct tests offer evidence that the Rational Expectations Hypothesis may not be rejected for quantity variables.
This book provides an in-depth exploration of one of the most significant success stories of the development of an entrepreneurial university in recent times as well as its role within society and the economy. Written by leading business school Dean and scholar, Howard Thomas, and Alex Wilson and Michelle Lee, the book tracks the genesis of the idea of a third local university in Singapore to its fruition as Singapore Management University (SMU). It provides important insight and lessons for senior university and business school leaders, as well as regional and national governments. The increasing emphasis on the importance of innovative, entrepreneurial universities for social and economic ...