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Economic Models for Industrial Organization focuses on the specification and estimation of econometric models for research in industrial organization. In recent decades, empirical work in industrial organization has moved towards dynamic and equilibrium models, involving econometric methods which have features distinct from those used in other areas of applied economics. These lecture notes, aimed for a first or second-year PhD course, motivate and explain these econometric methods, starting from simple models and building to models with the complexity observed in typical research papers. The covered topics include discrete-choice demand analysis, models of dynamic behavior and dynamic games, multiple equilibria in entry games and partial identification, and auction models.
A theoretical and empirical examination of wage differentials findsthat traditional theories of competition do not explain why workers with identical skills are paid differently.
Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest statistical inference methods to get the most out of economic data. This graduate-level textbook draws applications from both microeconomics and macroeconomics, paying special attention to financial and labor economics, with an emphasis throughout on what observations can tell us about stochastic dynamic models of rational optimizing behavior and equilibrium. Bent Jesper Christensen and Nicholas Kiefer show how parameters often thought estimable in applications are not identified even in simple dynamic programming models, and they investigate the roles of extensions, including measurement error, imperfect control, and random utility shocks for inference. When all implications of optimization and equilibrium are imposed in the empirical procedures, the resulting estimation problems are often nonstandard, with the estimators exhibiting nonregular asymptotic behavior such as short-ranked covariance, superconsistency, and non-Gaussianity. Christensen and Kiefer explore these properties in detail, covering areas including job search models of the labor market, asset pricing, option pricing, marketing, and retirement planning. Ideal for researchers and practitioners as well as students, Economic Modeling and Inference uses real-world data to illustrate how to derive the best results using a combination of theory and cutting-edge econometric techniques. Covers identification and estimation of dynamic programming models Treats sources of error--measurement error, random utility, and imperfect control Features financial applications including asset pricing, option pricing, and optimal hedging Describes labor applications including job search, equilibrium search, and retirement Illustrates the wide applicability of the approach using micro, macro, and marketing examples
The economics of search is a prominent component of economic theory, and it has a richness and elegance that underpins a host of practical applications. In this book Brian and John McCall present a comprehensive overview of the economic theory of search, from the classical model of job search formulated 40 years ago to the recent developments in equilibrium models of search. The book gives decision-theoretic foundations to seemingly slippery issues in labour market theory, estimation theory and economic dynamics in general, and surveys the entire field of the economics of search, including its history, theory, and econometric applications. Theoretical models of the economics of search are covered as well as estimation methods used in search theory and topics covered include job search, turnover, unemployment, liquidity, house selling, real options and auctions. The mathematical methods used in search theory such as dynamic programming are reviewed as well as structural estimation methods and econometric methods for duration models. The authors also explore the classic sequential search model and its extensions in addition to recent advances in equilibrium search theory.
A guide to the continually evolving field of labour economics.
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This 1994 two-volume set of articles reflects the state of research in theoretical and applied econometrics. The topics covered include time series methods, semiparametric methods, seasonality, financial economics, model solution techniques, economic development and labour economics.
In the last twenty years there has been an explosion of economic research on labor force dynamics; the movement of individuals between labor force states. This book focuses on the methods by which behavioral theories of labor force dynamics have been empirically implemented. Most attention is paid to the partial equilibrium two-state transitional model of job search behavior. That model is the foundation for much of our thinking about the nature of unemployment at both the individual and aggregate levels. Although the basic formulation has remained the same, approaches to the empirical implementation of such models has changed dramatically.
In the last twenty years there has been an explosion of economic research on labour force dynamics. This book focuses on the methods by which behavioural theories of labour force dynamics have been empirically implemented.