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Nonparametric and Semiparametric Methods in Econometrics and Statistics: Proceedings of the Fifth International Symposium in Economic Theory and ... Symposia in Economic Theory and Econometrics)
 
 
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Nonparametric and Semiparametric Methods in Econometrics and Statistics: Proceedings of the Fifth International Symposium in Economic Theory and ... Symposia in Economic Theory and Econometrics) [Paperback]

William A. Barnett (Editor), James Powell (Editor), George E. Tauchen (Editor)

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Book Description

0521424313 978-0521424318 June 28, 1991
This collection of papers delivered at the fifth international Symposium in Economic Theory and Econometrics in 1988 is devoted to recent advances in the estimation and testing of models that impose relatively weak restrictions on the stochastic behavior of data. Particularly in highly nonlinear models, empirical results are very sensitive to the choice of the parametric form of the distribution of the observable variables, and often nonparametric and semiparametric models are a preferable alternative. Methods and applications that do not require strong parametric assumptions for their validity, that are based on kernels and on series expansions, and methods for independent and dependent observations, are investigated and developed in these essays by renowned econometricians.

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"Nonparametric and Semiparametric Methods in Econometrics and Statistics gives a fairly thorough picture of recent advances in nonparametric and semiparametric analysis. It provides insight on recently solved problems in this area and also points towards some of the yet-unresolved issues." Journal of the American Statistical Association

Book Description

Because empirical results are so sensitive to the choice of the parametric form of the distribution of the observable variable, this collection is devoted to recent advances in the estimation and testing of models that impose relatively weak restrictions.

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More About the Author

William A. Barnett is Oswald Distinguished Professor of Macroeconomics at the University of Kansas, Director at the Center for Financial Stability in New York City, and Senior Fellow at the IC2 Institute at the University of Texas at Austin. He is Editor of the Cambridge University Press journal, Macroeconomic Dynamics, and is coauthor with Nobel Laureate Paul Samuelson of the book, Inside the Economist's Mind, translated into seven languages. He is Editor of the Emerald Press monograph series, International Symposia in Economic Theory and Econometrics. He has published over 130 articles in professional journals and over 20 books as author or editor. He was on the staff of the Federal Reserve Board from 1974 to 1982.

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Inside This Book (learn more)
First Sentence:
Supported by increasing availability of extensive data sets and computational advancements, a broad class of nonlinear models has been proposed to study more and more realistic empirical situations. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
asymptotically ideal model, aggregate integrability, conditional mixture model, bisquare kernel, multiple index models, cleanup benefits, sampling theoretic methods, excess holding yield, sieve estimators, pricing surface, maximum rank correlation estimator, projection pursuit model, importance sampling density, benefits estimator, conditional symmetry, spanning condition, conditional heterogeneity, conditional kurtosis, parametric submodels, semiparametric efficiency bound, semiparametric estimator, truncated case, iterative expansion, tangent set, nonnegative kernels
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Journal of Econometrics, New York, Annals of Statistics, Department of Economics, Journal of the American Statistical Association, Annals of Mathematical Statistics, Econometric Theory, University of Chicago, Cambridge University Press, Journal of Political Economy, Prakasa Rao, International Economic Review, Massachusetts Institute of Technology, National Science Foundation, Princeton University, University of California Press, Academic Press, Given Assumptions, University of Minnesota, Yale University, Duke University, George Tauchen, John Geweke, Proof of Corollary
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This book cites 61 books:
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