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Gender and history
Kent, Susan Kingsley - 2012
Persistent link: https://www.econbiz.de/10009362320
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Contemporary perspectives on masculinity : men, women and politics in modern society
Clatterbaugh, Kenneth - 1990
Persistent link: https://www.econbiz.de/10004094752
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Distributional tests for regression discontinuity : theory and empirical examples
Shen, Shu; Zhang, Xiaohan - In: The review of economics and statistics 98 (2016) 4, pp. 685-700
Persistent link: https://www.econbiz.de/10011555812
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Deduction dilemmas : the Taiwan assignment mechanism
Dur, Umut Mert; Pathak, Parag A.; Song, Fei; Sönmez, Tayfun - 2018
Persistent link: https://www.econbiz.de/10011915988
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Student networks and long-run educational outcomes . the strenght of strong ties
Patacchini, Eleonora; Rainone, Edoardo; Zenou, Yves - 2012
Persistent link: https://www.econbiz.de/10009664287
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Wanna get away? : RD identification away from the cutoff
Angrist, Joshua D.; Rokkanen, Miikka - 2013
In the canonical regression discontinuity (RD) design for applicants who face an award or admissions cutoff, causal effects are nonparametrically identified for those near the cutoff. The effect of treatment on inframarginal applicants is also of interest, but identification of such effects...
Persistent link: https://www.econbiz.de/10009753721
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Wanna get away? : RD identification away from the cutoff
Angrist, Joshua D.; Rokkanen, Miikka - 2012
Persistent link: https://www.econbiz.de/10009703340
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Wanna Get Away? Rd Identification Away from the Cutoff
Angrist, Joshua D. - 2018
In the canonical regression discontinuity (RD) design for applicants who face an award or admissions cutoff, causal effects are nonparametrically identified for those near the cutoff. The impact of treatment on inframarginal applicants is also of interest, but identification of such effects...
Persistent link: https://www.econbiz.de/10012938588
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Wanna Get Away? RD Identification Away from the Cutoff
Angrist, Joshua - 2012
In the canonical regression discontinuity (RD) design for applicants who face an award or admissions cutoff, causal effects are nonparametrically identified for those near the cutoff. The impact of treatment on inframarginal applicants is also of interest, but identification of such effects...
Persistent link: https://www.econbiz.de/10012459998