Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Rokkanen, Miikka"'
Autor:
Rokkanen, Miikka
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Economics, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 150-160).
This thesis consists of three methodological contributions
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 150-160).
This thesis consists of three methodological contributions
Externí odkaz:
http://hdl.handle.net/1721.1/90131
Autor:
Angrist, Joshua D., Rokkanen, Miikka
Publikováno v:
Journal of the American Statistical Association, 2015 Dec 01. 110(512), 1348-1349.
Externí odkaz:
http://www.jstor.org/stable/24740144
Autor:
Angrist, Joshua D., Rokkanen, Miikka
Publikováno v:
Journal of the American Statistical Association, 2015 Dec 01. 110(512), 1331-1344.
Externí odkaz:
http://www.jstor.org/stable/24740141
Bounds on treatment effects in regression discontinuity designs with a manipulated running variable.
Autor:
Gerard, François1 (AUTHOR) f.gerard@qmul.ac.uk, Rokkanen, Miikka2 (AUTHOR) miikka@amazon.com, Rothe, Christoph3 (AUTHOR) rothe@vwl.uni-mannheim.de
Publikováno v:
Quantitative Economics. Jul2020, Vol. 11 Issue 3, p839-870. 32p.
Autor:
ROKKANEN, MIIKKA rokkanen@mit.edu, UUSITALO, ROOPE1 roope.uusitalo@helsinki.fi
Publikováno v:
Finnish Economic Papers. 2013, Vol. 26 Issue 2, p36-55. 20p.
Identification and Inference in Regression Discontinuity Designs with a Manipulated Running Variable
A key assumption in regression discontinuity analysis is that units cannot manipulate the value of their running variable in a way that guarantees or avoids assignment to the treatment. Standard identification arguments break down if this condition i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::c8a5bf4d09787af82ce1ba1dd71f2340
https://hdl.handle.net/10419/127565
https://hdl.handle.net/10419/127565
Autor:
Rokkanen, Miikka A. T.
Selective school admissions give rise to a Regression Discontinuity (RD) design that non-parametrically identifies causal effects for marginal applicants. Without stronger assumptions nothing can be said about causal effects for inframarginal applica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb9dbeed07556e5e275b2fa0348adfd1
Publikováno v:
NBER Working Papers; 12/5/2016, Preceding p1-76, 77p, 4 Charts, 8 Graphs
Autor:
Angrist, Joshua, Rokkanen, Miikka
Publikováno v:
SSRN Electronic Journal.
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 int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17ecae6843cfb260d94b6d0742413daa
https://doi.org/10.2139/ssrn.2283544
https://doi.org/10.2139/ssrn.2283544
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 int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::b696904375b201d78cbe6101d7a90991
https://hdl.handle.net/10419/80605
https://hdl.handle.net/10419/80605