Economic Modeling and Inference

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Publisher : Princeton University Press
ISBN 13 : 1400833108
Total Pages : 488 pages
Book Rating : 4.08/5 ( download)

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Book Synopsis Economic Modeling and Inference by : Bent Jesper Christensen

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

Econometric Modeling and Inference

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Publisher : Cambridge University Press
ISBN 13 : 1139466771
Total Pages : 17 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Econometric Modeling and Inference by : Jean-Pierre Florens

Download or read book Econometric Modeling and Inference written by Jean-Pierre Florens and published by Cambridge University Press. This book was released on 2007-07-02 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the main statistical tools of econometrics, focusing specifically on modern econometric methodology. The authors unify the approach by using a small number of estimation techniques, mainly generalized method of moments (GMM) estimation and kernel smoothing. The choice of GMM is explained by its relevance in structural econometrics and its preeminent position in econometrics overall. Split into four parts, Part I explains general methods. Part II studies statistical models that are best suited for microeconomic data. Part III deals with dynamic models that are designed for macroeconomic and financial applications. In Part IV the authors synthesize a set of problems that are specific to statistical methods in structural econometrics, namely identification and over-identification, simultaneity, and unobservability. Many theoretical examples illustrate the discussion and can be treated as application exercises. Nobel Laureate James A. Heckman offers a foreword to the work.

Statistical Inference in Dynamic Economic Models

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Publisher :
ISBN 13 :
Total Pages : 438 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis Statistical Inference in Dynamic Economic Models by : Yale University. Cowles Foundation for Research in Economics

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:

Causal Inference in Economic Models

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Publisher : Cambridge Scholars Publishing
ISBN 13 : 1527560600
Total Pages : 105 pages
Book Rating : 4.04/5 ( download)

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Book Synopsis Causal Inference in Economic Models by : Stephen F. LeRoy

Download or read book Causal Inference in Economic Models written by Stephen F. LeRoy and published by Cambridge Scholars Publishing. This book was released on 2020-10-12 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: There exist applications in many research areas including (but not limited to) economics dealing with causation that are analyzed using multi-equation mathematical models. This book develops and describes a formal treatment of causation in such mathematical models. It serves to replace existing treatments of causation, which almost without exception are vague and otherwise unsatisfactory. Development of theory is accompanied here by extensive analysis of examples drawn from the economics literature: treatment evaluation, potential outcomes, applied econometrics. The theory outlined here will be extremely useful in economics and such related fields as biology and biomedicine.

Statistical inference in dynamic economic models

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Publisher :
ISBN 13 :
Total Pages : 438 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis Statistical inference in dynamic economic models by : Tjalling C. Koopmans

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:

Econometric Modeling and Inference

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Publisher :
ISBN 13 : 9780511334856
Total Pages : 496 pages
Book Rating : 4.50/5 ( download)

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Book Synopsis Econometric Modeling and Inference by :

Download or read book Econometric Modeling and Inference written by and published by . This book was released on 2007 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Simulation-based Inference in Econometrics

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Publisher : Cambridge University Press
ISBN 13 : 9780521591126
Total Pages : 488 pages
Book Rating : 4.20/5 ( download)

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Book Synopsis Simulation-based Inference in Econometrics by : Roberto Mariano

Download or read book Simulation-based Inference in Econometrics written by Roberto Mariano and published by Cambridge University Press. This book was released on 2000-07-20 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Simplicity, Inference and Modelling

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Publisher : Cambridge University Press
ISBN 13 : 1139432389
Total Pages : 314 pages
Book Rating : 4.82/5 ( download)

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Book Synopsis Simplicity, Inference and Modelling by : Arnold Zellner

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.

Econometric Modeling

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Publisher : Princeton University Press
ISBN 13 : 1400845653
Total Pages : 378 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis Econometric Modeling by : David F. Hendry

Download or read book Econometric Modeling written by David F. Hendry and published by Princeton University Press. This book was released on 2012-06-21 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Econometric Modeling provides a new and stimulating introduction to econometrics, focusing on modeling. The key issue confronting empirical economics is to establish sustainable relationships that are both supported by data and interpretable from economic theory. The unified likelihood-based approach of this book gives students the required statistical foundations of estimation and inference, and leads to a thorough understanding of econometric techniques. David Hendry and Bent Nielsen introduce modeling for a range of situations, including binary data sets, multiple regression, and cointegrated systems. In each setting, a statistical model is constructed to explain the observed variation in the data, with estimation and inference based on the likelihood function. Substantive issues are always addressed, showing how both statistical and economic assumptions can be tested and empirical results interpreted. Important empirical problems such as structural breaks, forecasting, and model selection are covered, and Monte Carlo simulation is explained and applied. Econometric Modeling is a self-contained introduction for advanced undergraduate or graduate students. Throughout, data illustrate and motivate the approach, and are available for computer-based teaching. Technical issues from probability theory and statistical theory are introduced only as needed. Nevertheless, the approach is rigorous, emphasizing the coherent formulation, estimation, and evaluation of econometric models relevant for empirical research.

Causal Inference in Econometrics

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Publisher : Springer
ISBN 13 : 3319272845
Total Pages : 638 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis Causal Inference in Econometrics by : Van-Nam Huynh

Download or read book Causal Inference in Econometrics written by Van-Nam Huynh and published by Springer. This book was released on 2015-12-28 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the analysis of causal inference which is one of the most difficult tasks in data analysis: when two phenomena are observed to be related, it is often difficult to decide whether one of them causally influences the other one, or whether these two phenomena have a common cause. This analysis is the main focus of this volume. To get a good understanding of the causal inference, it is important to have models of economic phenomena which are as accurate as possible. Because of this need, this volume also contains papers that use non-traditional economic models, such as fuzzy models and models obtained by using neural networks and data mining techniques. It also contains papers that apply different econometric models to analyze real-life economic dependencies.