Počet záznamov: 1  

Sharp IV bounds on average treatment effects on the treated and other populations under endogeneity and noncompliance

  1. NázovSharp IV bounds on average treatment effects on the treated and other populations under endogeneity and noncompliance
    Aut.údajeMartin Huber, Lukáš Lafférs, Giovanni Mellace
    Autor Huber Martin (34%)
    Spoluautori Lafférs Lukáš 1986- (33%) UMBFP10 - Katedra matematiky
    Mellace Giovanni (33%)
    Zdroj.dok. Journal of Applied Econometrics. Vol. 32, no. 1 (2017), pp. 56-79. - Hoboken : John Wiley & Sons, 2017
    Kľúč.slová monotonicity   random variables  
    Jazyk dok.angličtina
    KrajinaSpojené štáty
    Systematika 51
    AnotáciaIn the presence of an endogenous binary treatment and a valid binary instrument, causal effects are point identified only for the subpopulation of compliers, given that the treatment is monotone in the instrument. With the exception of the entire population, causal inference for further subpopulations has been widely ignored in econometrics. We invoke treatment monotonicity and/or dominance assumptions to derive sharp bounds on the average treatment effects on the treated, as well as on other groups. Furthermore, we use our methods to assess the educational impact of a school voucher program in Colombia and discuss testable implications of our assumptions. Copyright (C) 2015 John Wiley & Sons, Ltd.
    Kategória publikačnej činnosti ADC
    Číslo archívnej kópie39370
    Kategória ohlasuFLORES, Carlos. A. - CHEN, Xuan. Average treatment effect bounds with an instrumental variable : theory and practice. Singapore : Springer Singapore, 2018. 104 p. ISBN 978-981-13-2016-3.
    SWANSON, Sonja A. - HERNAN, Miguel A. - MILLER, Matthew - ROBINS, James M. - RICHARDSON, Thomas S. Partial identification of the average treatment effect using instrumental variables : review of methods for binary instruments, treatments, and outcomes. In Journal of the American statistical association. ISSN 0162-1459, 2018, vol. 113, no. 522, pp. 933-947.
    DEPALO, Domenico. Identification issues in the public/private wage gap, with an application to Italy. In Journal of applied econometrics. ISSN 0883-7252, 2018, vol. 33, no. 3, pp. 435-456.
    CHEN, Xuan - FLORES, Carlos A. - FLORES-LAGUNES, Alfonso. Going beyond LATE: bounding average treatment effects of job corps training. In Journal of human resources. ISSN 0022-166X, 2018, vol. 53, no. 4, pp. 1050-1099.
    LIU, Lan - MIAO, Wang - SUN, Baoluo - ROBINS, James - TCHETGEN, Eric Tchetgen. Identification and inference for marginal average treatment effect on the treated with an instrumental variable. In Statistica sinica. ISSN 1017-0405, 2020, vol. 30, no. 3, pp. 1517-1541.
    KITAGAWA, Toru. The identification region of the potential outcome distributions under instrument independence. In Journal of econometrics. ISSN 0304-4076, 2021, vol. 225, no. 2, special issue, pp. 231-253.
    WANG, Xintong - FLORES-LAGUNES, Alfonso. Conscription and military service do they result in future violent and nonviolent incarcerations and recidivism. In Journal of human resources. ISSN 0022-166X, 2022, vol. 57, no. 5, pp. 1715-1757.
    KÉDAGNI, Désiré. Identifying treatment effects in the presence of confounded types. In Journal of econometrics. ISSN 0304-4076, 2023, vol. 234, no. 2, pp. 479-511.
    Katal.org.BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici
    Báza dátxpca - PUBLIKAČNÁ ČINNOSŤ
    OdkazyPERIODIKÁ-Súborný záznam periodika
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Počet záznamov: 1  

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