Handbook of Econometrics

Author:   Steven Durlauf (University of Wisconsin at Madison, WI, USA) ,  Lars Peter Hansen (University of Chicago, Chicago, IL, USA) ,  James J. Heckman (University of Chicago, Chicago, IL, USA) ,  Rosa Liliana Matzkin (University of California, Los Angeles, CA, USA)
Publisher:   Elsevier Science & Technology
ISBN:  

9780444636492


Pages:   592
Publication Date:   30 November 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Handbook of Econometrics


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Overview

"Handbook of Econometrics, Volume 7A, examines recent advances in foundational issues and ""hot"" topics within econometrics, such as inference for moment inequalities and estimation of high dimensional models. With its world-class editors and contributors, it succeeds in unifying leading studies of economic models, mathematical statistics and economic data. Our flourishing ability to address empirical problems in economics by using economic theory and statistical methods has driven the field of econometrics to unimaginable places. By designing methods of inference from data based on models of human choice behavior and social interactions, econometricians have created new subfields now sufficiently mature to require sophisticated literature summaries."

Full Product Details

Author:   Steven Durlauf (University of Wisconsin at Madison, WI, USA) ,  Lars Peter Hansen (University of Chicago, Chicago, IL, USA) ,  James J. Heckman (University of Chicago, Chicago, IL, USA) ,  Rosa Liliana Matzkin (University of California, Los Angeles, CA, USA)
Publisher:   Elsevier Science & Technology
Imprint:   North-Holland
Weight:   1.680kg
ISBN:  

9780444636492


ISBN 10:   0444636498
Pages:   592
Publication Date:   30 November 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Generalized instrumental variable models, methods, and applications Andrew Chesher and Adam M. Rosen Network data Bryan S. Graham Estimation of large dimensional conditional factor models in finance Patrick Gagliardini, Elisa Ossola, and Olivier Scaillet Asymptotic analysis of statistical decision rules in econometrics Keisuke Hirano and Jack R. Porter Microeconometrics with partial identification Francesca Molinari Mismeasured and unobserved variables Susanne M. Schennach

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Author Information

"Stephen Durlauf is Kenneth J. Arrow Professor of Economics, Laurents R. Christensen Professor of Economics, and Vilas Professor at the University of Wisconsin, Madison. He is a Fellow in the Econometric Society and in the American Academy of Arts and Sciences. Lars Peter Hansen is David Rockefeller Distinguished Service Professor at the University of Chicago, and is an internationally known leader in economic dynamics. Hansen guides the scholarly direction of the Becker Friedman Institute and chairs the Institute Research Council. He was one of the forces behind the 2008 creation of the Milton Friedman Institute, the predecessor of the Becker Friedman Institute, and served as its founding director. He was one of three in 2013 to be awarded The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel along with Eugene F. Fama and Robert J. Shiller ""for their empirical analysis of asset prices."" Hansen’s work explores formal implications of dynamic economic models in which decision makers face uncertain environments. The main theme of his research has been to devise and apply econometric methods that are consistent with the probabilistic framework of the economic models under investigation. His work has implications for consumption, savings investment, and asset pricing. Hansen's early research in econometrics was aimed at developing time series statistical methods to investigate one part of an economic model without having to fully specify and estimate all of the model ingredients. The applications he explored with several coauthors included systems that are rich enough to support models of asset valuation and to identify and clarify empirical puzzles, where real-world financial and economic data were at odds with prevailing academic models. He continues to explore, analyze, and interpret implications of dynamic economic models in environments with uncertainty from a time-series perspective. His recent research explores ways to quantify intertemporal risk-return tradeoffs and ways to model economic behavior when decision makers are uncertain about how to forecast future economic events. Hansen won the 2010 BBVA Foundation Frontiers of Knowledge Award in the Economics, Finance and Management “for making fundamental contributions to our understanding of how economic actors cope with risky and changing environments.” He also received the CME Group-MSRI Prize in Innovative Quantitative Applications in 2008 and the Erwin Plein Nemmers Prize in Economics from Northwestern University in 2006. Hansen is a fellow of the National Academy of Sciences and the American Finance Association. He also is a member of the American Academy of Arts and Sciences and past president of the Econometric Society. Hansen is the editor of two Elsevier publications – Handbook of Financial Econometrics, Volume 1, Tools; and Handbook of Financial Econometrics, Volume 2, Applications. James Heckman is Henry Schultz Professor of Economics at the University of Chicago. A Nobel laureate, he is also a winner of the John Bates Clark Medal and a two-time winner of the Dennis J. Aigner Award for Applied Econometrics frrom the ""Journal of Econometrics."" Rosa Matzkin is Charles E. Davidson Professor of Economics at the University of California, Los Angeles. A Fellow of the Econometric Society, she is Editor of Editor of ""Quantitative Economics,"" the Journal of the Econometric Society."

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