Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs
dc.contributor.author | Calonico, Sebastian | en_US |
dc.contributor.author | Cattaneo, Matias D. | en_US |
dc.contributor.author | Titiunik, Rocio | en_US |
dc.date.accessioned | 2015-01-07T15:23:22Z | |
dc.date.available | WITHHELD_11_MONTHS | en_US |
dc.date.available | 2015-01-07T15:23:22Z | |
dc.date.issued | 2014-11 | en_US |
dc.identifier.citation | Calonico, Sebastian; Cattaneo, Matias D.; Titiunik, Rocio (2014). "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs." Econometrica 82(6): 2295-2326. | en_US |
dc.identifier.issn | 0012-9682 | en_US |
dc.identifier.issn | 1468-0262 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/109857 | |
dc.publisher | Blackwell Publishing Ltd | en_US |
dc.publisher | Wiley Periodicals, Inc. | en_US |
dc.subject.other | Regression Discontinuity | en_US |
dc.subject.other | Local Polynomials | en_US |
dc.subject.other | Bias Correction | en_US |
dc.subject.other | Robust Inference | en_US |
dc.subject.other | Alternative Asymptotics | en_US |
dc.title | Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Business and Economics | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/109857/1/ecta1465.pdf | |
dc.identifier.doi | 10.3982/ECTA11757 | en_US |
dc.identifier.source | Econometrica | en_US |
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dc.identifier.citedreference | Calonico, S., M. D. Cattaneo, and R. Titiunik ( 2014c ): “ Supplement to ‘Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs’,” Econometrica Supplemental Material, 82, http://dx.doi.org/10.3982/ECTA11757. | en_US |
dc.identifier.citedreference | Calonico, S., M. D. Cattaneo, and R. Titiunik ( 2014d ): “ rdrobust: An R Package for Robust Inference in Regression‐Discontinuity Designs,” Working Paper, University of Michigan. | en_US |
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dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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