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dc.contributor.authorAde, Florianen_US
dc.contributor.authorFreier, Ronnyen_US
dc.date.accessioned2012-02-10en_US
dc.date.accessioned2012-02-15T15:02:49Z-
dc.date.available2012-02-15T15:02:49Z-
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/10419/55302-
dc.description.abstractA recent literature has used variation just around deterministic legislative population thresholds to identify the causal effects of institutional changes. This paper reviews the use of regression discontinuity designs using such population thresholds. Our concern involves three arguments: (1) simultaneous exogenous (co-)treatment, (2) simultaneous endogenous choices and (3) manipulation and precise control over population measures. Revisiting the study by Egger and Koethenbuerger (2010), who analyse the relationship between council size and government spending, we present new evidence that these three concerns do matter for causal analysis. Our results suggest that empirical designs using population thresholds are only to be used with utmost care and confidence in the precise institutional setting.en_US
dc.language.isoengen_US
dc.publisherDeutsches Institut für Wirtschaftsforschung (DIW) Berlinen_US
dc.relation.ispartofseriesDiscussion papers // German Institute for Economic Research 1136en_US
dc.subject.jelC2en_US
dc.subject.jelD7en_US
dc.subject.jelH7en_US
dc.subject.ddc330en_US
dc.subject.keywordregression discontinuity designen_US
dc.subject.keywordpopulation thresholdsen_US
dc.subject.keywordlocal electionsen_US
dc.subject.keywordgovernment spendingen_US
dc.subject.stwBevölkerungsentwicklungen_US
dc.subject.stwRegressionen_US
dc.subject.stwKommunalwahlen_US
dc.subject.stwÖffentliche Ausgabenen_US
dc.subject.stwBevölkerungsdichteen_US
dc.titleWhen can we trust population thresholds in regression discontinuity designs?en_US
dc.typeWorking Paperen_US
dc.identifier.ppn685087662en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
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