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A theoretical and empirical examination of wage differentials findsthat traditional theories of competition do not explain why workers with identical skills are paid differently.
As the accelerated technological advances of the past two decades continue to reshape the United States' economy, intangible assets and high-technology investments are taking larger roles. These developments have raised a number of concerns, such as: how do we measure intangible assets? Are we accurately appraising newer, high-technology capital? The answers to these questions have broad implications for the assessment of the economy's growth over the long term, for the pace of technological advancement in the economy, and for estimates of the nation's wealth. In Measuring Capital in the New Economy, Carol Corrado, John Haltiwanger, Daniel Sichel, and a host of distinguished collaborators offer new approaches for measuring capital in an economy that is increasingly dominated by high-technology capital and intangible assets. As the contributors show, high-tech capital and intangible assets affect the economy in ways that are notoriously difficult to appraise. In this detailed and thorough analysis of the problem and its solutions, the contributors study the nature of these relationships and provide guidance as to what factors should be included in calculations of different types of capital for economists, policymakers, and the financial and accounting communities alike.
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
Search Theory and Unemployment contains nine chapters that survey and extend the theory of job search and its application to the problem of unemployment. The volume ranges from surveys of job search theory that take microeconomic and macroeconomic perspectives to original theoretical contributions which focus on the externalities arising from non-sequential search and search under imperfect information. It includes a clear and authoritative survey of econometric methods that have been developed to estimate models of job search, as well as two lucid contributions to the empirical search literature. Finally, it includes a study that reviews and extends the literature on optimal unemployment insurance and concludes with an appraisal of the influence of search theory on the thinking of macroeconomic policymakers.
In 1968, Sveriges Riksbank (Sweden's central bank) established the Prize in Economic Sciences in Memory of Alfred Nobel, founder of the Nobel Prize. The Prize in Economic Sciences is awarded by the Royal Swedish Academy of Sciences, Stockholm, according to the same principles as for the Nobel Prizes that have been awarded since 1901. This volume is a collection of the Nobel lectures delivered by the prizewinners, together with their biographies and the presentation speeches, for the period 2006-2010.List of prizewinners and their award citations:(2006) Edmund S Phelps — for his analysis of intertemporal tradeoffs in macroeconomic policy;(2007) Leonid Hurwicz, Eric S Maskin and Roger B Myerson — for having laid the foundations of mechanism design theory;(2008) Paul Krugman — for his analysis of trade patterns and location of economic activity;(2009) Elinor Ostrom — for her analysis of economic governance, especially the commons, and Oliver E Williamson — for his analysis of economic governance, especially the boundaries of the firm;(2010) Peter A Diamond, Dale T Mortensen and Christopher A Pissarides — for their analysis of markets with search frictions.
Illustrates the scope and diversity of modern applications, reviews advances, and highlights many desirable aspects of inference and computations. This work presents an historical overview that describes key contributions to development and makes predictions for future directions.