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Handbook of Econometrics

This comprehensive presentation of advances in econometrics features top scholars summarizing literature in their fields of expertise

Steven Durlauf (Volume editor), Lars Peter Hansen (Volume editor), James J. Heckman (Volume editor), Rosa Liliana Matzkin (Volume editor)

9780444636492, Elsevier Science

Hardback, published 30 November 2020

592 pages
23.4 x 19 x 3.3 cm, 1.68 kg

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.

    1. Generalized instrumental variable models, methods, and applications
    2. Andrew Chesher and Adam M. Rosen

    3. Network data
    4. Bryan S. Graham

    5. Estimation of large dimensional conditional factor models in finance
    6. Patrick Gagliardini, Elisa Ossola, and Olivier Scaillet

    7. Asymptotic analysis of statistical decision rules in econometrics
    8. Keisuke Hirano and Jack R. Porter

    9. Microeconometrics with partial identification
    10. Francesca Molinari

    11. Mismeasured and unobserved variables

Susanne M. Schennach

Subject Areas: Econometrics [KCH]

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