Výsledky vyhľadávania
Názov Sharp IV bounds on average treatment effects on the treated and other populations under endogeneity and noncompliance Aut.údaje Martin 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 Krajina Spojené štáty Systematika 51 Anotácia In 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 kópie 39370 Kategória ohlasu FLORES, 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 dát xpca - PUBLIKAČNÁ ČINNOSŤ Odkazy PERIODIKÁ-Súborný záznam periodika 
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Názov A note on testing instrument validity for the identification of LATE Aut.údaje Lukáš Lafférs, Giovanni Mellace Autor Lafférs Lukáš 1986- (50%) UMBFP10 - Katedra matematiky
Spoluautori Mellace Giovanni (50%)
Zdroj.dok. Empirical Economics. Vol. 53, no. 3 (2017), pp. 1281-1286. - Heidelberg : Physica-Verlag, 2017 Kľúč.slová štatistické metódy - statistical methods ekonometria - econometrics Jazyk dok. angličtina Krajina Nemecko Systematika 33 Anotácia In this paper, we show that the testable implications derived in Huber and Mellace (Rev Econ Stat 97:398, 2015) are the best possible to detect invalid instruments in the presence of heterogeneous treatment effects and endogeneity. We also provide formal proof of the fact that those testable implications are only necessary, but not sufficient, conditions for instrument validity Kategória publikačnej činnosti ADM Číslo archívnej kópie 40354 Kategória ohlasu FARBMACHER, Helmut - GUBER, Raphael - KLAASSEN, Sven. Instrument validity tests with causal forests. In Journal of business and economic statistics. ISSN 0735-0015, 2022, vol. 40, no. 2, pp. 605-614.
Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ Odkazy PERIODIKÁ-Súborný záznam periodika nerozpoznaný