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Handbook of Econometrics, Volume 4
 
 
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Handbook of Econometrics, Volume 4 [Hardcover]

Robert Engle (Editor), Dan McFadden (Editor)

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Book Description

0444887660 978-0444887665 December 1, 1999
This is the fourth volume of the Handbook of Econometrics. The Handbook is a definitive reference source and teaching aid for econometricians. It examines models, estimation theory, data analysis and field applications in econometrics. Comprehensive surveys, written by experts, discuss recent developments at a level suitable for professional use by economists, econometricians, statisticians, and in advanced graduate econometrics courses.

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The assimilation of new techniques into the existing literature is generally superb. The editors have delivered on the promises of this series as stated above. Even with 16 chapters and over a thousand pages, they admit there are topics to be covered in future volumes. --Esfandiar Maasoumi, Mathematical Reviews

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Inside This Book (learn more)
First Sentence:
Large sample distribution theory is the cornerstone of statistical inference for econometric models. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
detrended case, canonical regressors, demeaned case, essential stationarity, empirical process methods, artificial nesting models, implicit cumulative departures, stochastic equicontinuity, detrended process, actual departure rates, pairwise difference estimator, extremum estimator, conditional mean restriction, optimal filtering results, unknown cointegrating vectors, standard measurability, information matrix equality, semiparametric restrictions, asymptotic variance estimation, nonparametric restrictions, truncated regression models, conditional quantile restrictions, efficient weighting matrix, maximum rank correlation estimator, median restriction
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Journal of Econometrics, Monte Carlo, New York, Journal of the American Statistical Association, Annals of Statistics, Department of Economics, Cambridge University Press, Journal of the Royal Statistical Society, Estimation of Semiparametric Models, John Rust, Journal of Business, Annals of Mathematical Statistics, University of California, Academic Press, Journal of Applied Econometrics, Models Using Simulation, Princeton University, Review of Economic Studies, Yale University, American Economic Review, Journal of Time Series Analysis, Econometric Reviews, Aspects of Modelling Nonlinear Time Series, University of Chicago, Harvard University
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