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Názov Identification in models with discrete variables Aut.údaje Lukáš Lafférs Autor Lafférs Lukáš 1986- (100%) UMBFP10 - Katedra matematiky
Zdroj.dok. Computational Economics. Vol. 53, no. 2 (2019), pp. 657-696. - S. l. : Springer, 2019 Kľúč.slová čiastočná identifikácia lineárne programovanie - linear programming analýza citlivosti Form.deskr. články - journal articles Jazyk dok. angličtina Krajina Spojené štáty Anotácia Thispaperprovidesanovel,simple,andcomputationallytractablemethod for determining an identified set that can account for a broad set of economic models when the economic variables are discrete. Using this method, we show using a sim- ple example how imperfect instruments affect the size of the identified set when the assumption of strict exogeneity is relaxed. This knowledge can be of great value, as it is interesting to know the extent to which the exogeneity assumption drives results, given it is often a matter of some controversy. Moreover, the flexibility obtained from our newly proposed method suggests that the determination of the identified set need no longer be application specific, with the analysis presenting a unifying framework that algorithmically approaches the question of identification URL Link na plný text Kategória publikačnej činnosti ADC Číslo archívnej kópie 45942 Kategória ohlasu TORGOVITSKY, Alexander. Partial identification by extending subdistributions. In Quantitative economics. ISSN 1759-7323, 2019, vol. 10, no. 1, pp. 105-144.
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 Bounding average treatment effects using linear programming Aut.údaje Lukáš Lafférs Autor Lafférs Lukáš 1986- (100%) UMBFP10 - Katedra matematiky
Zdroj.dok. Empirical Economics. Vol. 57, no. 3 (2019), pp. 727-767. - Heidelberg : Physica-Verlag, 2019 Kľúč.slová lineárne programovanie - linear programming analýza citlivosti čiastočná identifikácia Form.deskr. články - journal articles Jazyk dok. angličtina Krajina Nemecko Anotácia This paper presents a method of calculating sharp bounds on the average treatment effect using linear programming under identifying assumptions commonly used in the literature. This new method provides a sensitivity analysis of the identifying assumptions and missing data in two applications. The first application looks at the effect of parents’ schooling on children’s schooling, and the second application studies the effect of mandatory arrest policy on domestic violence recidivism. This paper shows that even a mild departure from identifying assumptions may substantially widen the bounds on average treatment effects. Allowing for a small fraction of the data to be missing also has a large impact on the results URL Link na plný text Kategória publikačnej činnosti ADM Číslo archívnej kópie 45876 Kategória ohlasu TORGOVITSKY, Alexander. Nonparametric inference on state dependence in unemployment. In Econometrica. ISSN 0012-9682, 2019, vol. 87, no. 5, pp. 1475-1505.
TORGOVITSKY, Alexander. Partial identification by extending subdistributions. In Quantitative economics. ISSN 1759-7323, 2019, vol. 10, no. 1, pp. 105-144.
MANSKI, Charles F. - PEPPER, John V. How do right to carry laws affect crime rates? Coping with ambiguity using bounded variation assumptions. In Review of economics and statistics. ISSN 0034-6535, 2018, vol. 100, no. 2, pp. 232-244.
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, pp. 231-253.
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Názov A note on bounding average treatment effects Aut.údaje Lukáš Lafférs Autor Lafférs Lukáš 1986- (100%)
Zdroj.dok. Economic Letters. Vol. 120, no. 3 (2013), pp. 424-428. - [s. l.] : Elsevier, 2013 Kľúč.slová liečebné účinky čiastočná identifikácia treatment effect partial identification Jazyk dok. angličtina Systematika 331 Kategória publikačnej činnosti ADC Číslo archívnej kópie 35218 Kategória ohlasu RICHEY, Jeremiah. Shackled labor markets : bounding the causal effects of criminal convictions in the U.S. In International review of law and economics. ISSN 0144-8188, 2015, vol. 41, pp. 17-24.
MCCARTHY, Ian - MILLIMET, Daniel L. Bounding treatment effects: a command for the partial identification of the average treatment effect with endogenous and misreported treatment assignment. In Stata journal. ISSN 1536-867X, 2015, vol. 15, no. 2, pp. 411-436.
STOYE, Joerg. Partial identification and empirical methods for the law: remarks inspired by Helland and Yoon. In Journal of institutional and theoretical economics : Zeitschrift für die gesamte Staatswissenschaft. ISSN 0932-4569, 2018, vol. 174, no. 1, pp. 137-142.
CYGAN-REHM, Kamila - KUEHNLE, Daniel - OBERFICHTNER, Michael. Bounding the causal effect of unemployment on mental health: nonparametric evidence from four countries. In Health economics. ISSN 1057-9230, 2017, vol. 26, no. 12, pp. 1844-1861.
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