Počet záznamů: 1  

Many instruments and/or regressors: a friendly guide

  1. 1.
    SYSNO ASEP0504906
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevMany instruments and/or regressors: a friendly guide
    Tvůrce(i) Anatolyev, Stanislav (NHU-C)
    Zdroj.dok.Journal of Economic Surveys. - : Wiley - ISSN 0950-0804
    Roč. 33, č. 2 (2019), s. 689-726
    Poč.str.38 s.
    Jazyk dok.eng - angličtina
    Země vyd.GB - Velká Británie
    Klíč. slovaalternative asymptotic theory ; dimension asymptotics ; instrumental variables
    Vědní obor RIVAH - Ekonomie
    Obor OECDApplied Economics, Econometrics
    CEPGA17-26535S GA ČR - Grantová agentura ČR
    Způsob publikováníOmezený přístup
    Institucionální podporaNHU-C - Progres-Q24
    UT WOS000460656200013
    EID SCOPUS85056467488
    DOI10.1111/joes.12295
    AnotaceThis paper surveys the state of the art in the econometrics of regression models with many instruments or many regressors based on alternative – namely, dimension – asymptotics. We list critical results of dimension asymptotics that lead to better approximations of properties of familiar and alternative estimators and tests when the instruments and/or regressors are numerous. Then, we consider the problem of estimation and inference in the basic linear instrumental variables regression setup with many strong instruments. We describe the failures of conventional estimation and inference, as well as alternative tools that restore consistency and validity. We then add various other features to the basic model such as heteroskedasticity, instrument weakness, etc., in each case providing a review of the existing tools for proper estimation and inference. Subsequently, we consider a related but different problem of estimation and testing in a linear mean regression with many regressors. We also describe various extensions and connections to other settings, such as panel data models, spatial models, time series models, and so on. Finally, we provide practical guidance regarding which tools are most suitable to use in various situations when many instruments and/or regressors turn out to be an issue.
    PracovištěNárodohospodářský ústav - CERGE
    KontaktTomáš Pavela, pavela@cerge-ei.cz, Tel.: 224 005 122
    Rok sběru2020
    Elektronická adresahttp://dx.doi.org/10.1111/joes.12295
Počet záznamů: 1  

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