Panel Data and Structural Labour Market Models" is the latest volume in a series of four, reporting on the original work of an international group of scholars with research interests in the performance of the labour markets that condition the dynamic labour market experiences of individual workers. The book contains papers focusing on theoretical and empirical modelling of the labour market covering both wage equilibrium models and models for labour market transition. Contributions range from the theoretical or econometric through empirical structural methods and exploratory data analysis based on employer and employee level data. Academic libraries, labour economists, labour and industrial relations research institutes and statistical agencies will find this a particularly useful piece of work.

This 1989 collection of papers marks the development of empirical application of the search approach to labor economics - an approach which arose as a theoretical development of the 1960s and led to numerous insights in the 1970s. The search approach naturally incorporates uncertainty in the economic model, making up some of the early work in what is now called 'the economics of information'. Included are econometric issues such as estimation and specification of search models for wages and unemployment duration, continuous time models of turnover, and identification of structural parameters. Applications to policy questions including Unemployment Insurance and wage subsidy programs are given, and data collection issues are discussed within the search framework.

This 1989 collection of papers marks the development of empirical application of the search approach to labor economics - an approach which arose as a theoretical development of the 1960s and led to numerous insights in the 1970s. The search approach naturally incorporates uncertainty in the economic model, making up some of the early work in what is now called 'the economics of information'. Included are econometric issues such as estimation and specification of search models for wages and unemployment duration, continuous time models of turnover, and identification of structural parameters. Applications to policy questions including Unemployment Insurance and wage subsidy programs are given, and data collection issues are discussed within the search framework.

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

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

Panel Data and Structural Labour Market Models" is the latest volume in a series of four, reporting on the original work of an international group of scholars with research interests in the performance of the labour markets that condition the dynamic labour market experiences of individual workers. The book contains papers focusing on theoretical and empirical modelling of the labour market covering both wage equilibrium models and models for labour market transition. Contributions range from the theoretical or econometric through empirical structural methods and exploratory data analysis based on employer and employee level data. Academic libraries, labour economists, labour and industrial relations research institutes and statistical agencies will find this a particularly useful piece of work.

This 1989 collection of papers marks the development of empirical application of the search approach to labor economics - an approach which arose as a theoretical development of the 1960s and led to numerous insights in the 1970s. The search approach naturally incorporates uncertainty in the economic model, making up some of the early work in what is now called 'the economics of information'. Included are econometric issues such as estimation and specification of search models for wages and unemployment duration, continuous time models of turnover, and identification of structural parameters. Applications to policy questions including Unemployment Insurance and wage subsidy programs are given, and data collection issues are discussed within the search framework.

This 1989 collection of papers marks the development of empirical application of the search approach to labor economics - an approach which arose as a theoretical development of the 1960s and led to numerous insights in the 1970s. The search approach naturally incorporates uncertainty in the economic model, making up some of the early work in what is now called 'the economics of information'. Included are econometric issues such as estimation and specification of search models for wages and unemployment duration, continuous time models of turnover, and identification of structural parameters. Applications to policy questions including Unemployment Insurance and wage subsidy programs are given, and data collection issues are discussed within the search framework.

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

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