Download or read book Statistical Inference in Dynamic Economic Models written by Yale University. Cowles Foundation for Research in Economics and published by . This book was released on 1962 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical inference in dynamic economic models written by Tjalling C. Koopmans and published by . This book was released on 1958 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Inference in Dynamic Economic Models written by Tjalling Koopmans and published by Hassell Street Press. This book was released on 2021-09-09 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Download or read book Economic Modeling and Inference written by Bent Jesper Christensen and published by Princeton University Press. This book was released on 2021-07-13 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Statistical inference in dynamic economic models written by Tjalling C. Koopmans and published by . This book was released on 1967 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Inferences in Dynamic Economic Models written by Tjalling C. Koopmas and published by . This book was released on 1962 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Inference in Dynamic Economic Models written by Cowles Commission for Research in Economics and published by . This book was released on 1950 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Inferences in Dynamic Economic Models written by Tjalling Charles Koopmans and published by . This book was released on 1950 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical inference in dynamic economic models written by Tjalling C. Koopmans and published by . This book was released on 1958 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Inference in Dynamic Economic Models written by Tjalling Charles Koopmans and published by . This book was released on 1950 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Inference in Dynamic Economic Models written by Tjalling Charles Koopmans and published by . This book was released on 1967 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Inference in Dynamic Economic written by Tjalling C. Koopmans and published by . This book was released on 1950 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Inference in Dynamic Economic Models By Cowles Commission Research Staff Members and Guests Edited by T C Koopmans etc written by Tjalling Charles Koopmans and published by . This book was released on 1950 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistic Inference in Dynamic Economic Models written by and published by . This book was released on 1950 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Inference in Continuous Time Economic Models written by Albert Rex Bergstrom and published by North-Holland. This book was released on 1976 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-recursive models as discrete approximations to systems of stochastic differential equations; Some discrete approximations to continuous time stochastic models; Econometric estimation of stochastic differential equation systems; The structural estimation of a stochastic differnetial equation system; The problem of identification in finite parameter continuous time models; The estimation of linear stochastic differnetial equations with exogenous variables; Some computations based on observed data series of the exogenous variable component in continuous systems; Fourier estimation of continuous time models; A model of disequilibrium neoclassical growth and its applications to the United Kingdom.

Download or read book Bayesian Inference in Dynamic Econometric Models written by Luc Bauwens and published by OUP Oxford. This book was released on 2000-01-06 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers a broad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It contains also an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods.

Download or read book Simplicity Inference and Modelling written by Arnold Zellner and published by Cambridge University Press. This book was released on 2002-02-07 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. A problem with Ockham's razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this 2002 monograph examines simplicity by asking six questions: what is meant by simplicity? How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience? The book concludes with reflections on simplicity by Nobel Laureates in Economics.