2015
DOI: 10.2139/ssrn.2664464
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Regression Discontinuity Designs Based on Population Thresholds: Pitfalls and Solutions

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 12 publications
(4 citation statements)
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“…Consequently, around each cutoff, the municipalities are arbitrarily similar, with the only difference being their city-council sizes. q q q q q q q q q q qq q qq q qq q qq q qqq q q q q qq q q qq q q q q q q q q q q q q q q q q q q q q qq q q q q q q q q q q q q q q q q qq qqq q q q q qq q q qqq q q q q qq q q q qq q q q q qq q q q q q q q q q q q q q q q q q q q q q q q qq q q q q q q q q q qq q q qqq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq qq q q q q q qq q q q q q q q q q q q q qq q q q q q q q q q q q q q q q q q qq q q q q q q qq q q q q qq q q q q q q q q q q q qq q q q q q q q q q qq q q q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q qq q qq q q qq q q q q q q q q q q q q q q q q q qq q q q q q q q q q q q qq q q q q qq q q q q qq q q q qq q q q q qq q q q q q q q q q q qq q q q q qq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q qq q q q qq q qq q q q q q q q qq qq q q q q q q q q q q q q q q q q q qq q q q q q q q q q qq q q q q qq q q q q q q q q q q q qq q q qq q q q q q q q q q qq q qq q q q q q q q q q q q q q qq q q q q q q q q q q q q q q qq q q q q q q q q q q q For the second assumption, we know that running RDD in multiple thresholds may lead to inconsistent estimates when there is an imbalance in the running variable's distribution around the cutoffs (Bertanha 2017;Eggers et al 2018). For example, in our dataset, we have twelve discontinuities, and at each threshold we have a sharp increase of one councilor, from 9 to 21.…”
Section: Empirical Strategymentioning
confidence: 99%
“…Consequently, around each cutoff, the municipalities are arbitrarily similar, with the only difference being their city-council sizes. q q q q q q q q q q qq q qq q qq q qq q qqq q q q q qq q q qq q q q q q q q q q q q q q q q q q q q q qq q q q q q q q q q q q q q q q q qq qqq q q q q qq q q qqq q q q q qq q q q qq q q q q qq q q q q q q q q q q q q q q q q q q q q q q q qq q q q q q q q q q qq q q qqq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq qq q q q q q qq q q q q q q q q q q q q qq q q q q q q q q q q q q q q q q q qq q q q q q q qq q q q q qq q q q q q q q q q q q qq q q q q q q q q q qq q q q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q qq q qq q q qq q q q q q q q q q q q q q q q q q qq q q q q q q q q q q q qq q q q q qq q q q q qq q q q qq q q q q qq q q q q q q q q q q qq q q q q qq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q qq q q q qq q qq q q q q q q q qq qq q q q q q q q q q q q q q q q q q qq q q q q q q q q q qq q q q q qq q q q q q q q q q q q qq q q qq q q q q q q q q q qq q qq q q q q q q q q q q q q q qq q q q q q q q q q q q q q q qq q q q q q q q q q q q For the second assumption, we know that running RDD in multiple thresholds may lead to inconsistent estimates when there is an imbalance in the running variable's distribution around the cutoffs (Bertanha 2017;Eggers et al 2018). For example, in our dataset, we have twelve discontinuities, and at each threshold we have a sharp increase of one councilor, from 9 to 21.…”
Section: Empirical Strategymentioning
confidence: 99%
“…One potential critique of this approach is that, since population is a discrete variable any observations with lie exactly at the cut-off are automatically assigned to the first bin to the right of the threshold, which potentially biases the test statistic. Eggers et al (2015) suggest in this case running a McCrary test at the cut-off value of -0.5. In this case, the value of the test statistic θ is 0.335 with a standard error of 0.188 resulting in a p-velue of 0.0751, which further confirms that sorting is not an issue.…”
Section: The Empirical Approachmentioning
confidence: 99%
“…1 Also see Eggers et al (2015) and Gerard et al (2015) for possible solutions for running variables with possible manipulation problems. Zipf 's Law (1949) According to Mendes (2008), the MPF is "a redistributive transfer.…”
Section: Introductionmentioning
confidence: 99%