Santolino, MiguelSöderberg, Magnus2014-10-142014-10-1420112014-1254https://hdl.handle.net/2445/58565This study extends the standard econometric treatment of appellate court outcomes by 1) considering the role of decision-maker effort and case complexity, and 2) adopting a multi-categorical selection process of appealed cases. We find evidence of appellate courts being affected by both the effort made by first-stage decision makers and case complexity. This illustrates the value of widening the narrowly defined focus on heterogeneity in individual-specific preferences that characterises many applied studies on legal decision-making. Further, the majority of appealed cases represent non-random sub-samples and the multi-categorical selection process appears to offer advantages over the more commonly used dichotomous selection models.31 p.application/pdfengcc-by-nc-nd, (c) Santolino et al., 2011http://creativecommons.org/licenses/by-nc-nd/3.0/Models multinivell (Estadística)Càlcul de variacionsAssegurances d'automòbilsVehicles elèctricsMultilevel models (Statistics)Calculus of variationsAutomobile insuranceElectric vehiclesThe influence of decision-maker effort and case complexity on appealed rulings subject to multi-categorical selectioninfo:eu-repo/semantics/workingPaper2014-10-14info:eu-repo/semantics/openAccess