Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/20250
Full metadata record
DC FieldValueLanguage
dc.creatorBonin, Holger-
dc.creatorSchneider, Hilmar-
dc.date2004-
dc.date.accessioned2013-10-16T07:09:30Z-
dc.date.available2013-10-16T07:09:30Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/20250-
dc.identifierppn:378770780-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/20250-
dc.descriptionThe paper derives analytical transitions probabilities following an exogenous shock to the deterministic component in the conditional logit model. The solution draws on the postestimation distribution of the models stochastic component, identified on the basis of a direct utility maximization interpretation of agents revealed choice. Computational experiments confirm that analytical prediction of transitions probabilities might perform substantially better than the established calibration method with few repetitions. However, results obtained in an empirical application studying labor supply responses to social insurance reform in Germany suggest that previous calibration-based results accurately indicate the direction of incentive effects, while underpredicting small transitions frequencies.-
dc.languageeng-
dc.publisher-
dc.relationIZA Discussion paper series 1015-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectJ22-
dc.subjectC15-
dc.subjectC35-
dc.subjectddc:330-
dc.subjectconditional logit model-
dc.subjectlogistic distributions-
dc.subjectbehavioral microsimulation-
dc.subjectsocial insurance reform-
dc.subjectLogit-Modell-
dc.subjectSimulation-
dc.subjectPrognoseverfahren-
dc.subjectSozialreform-
dc.subjectArbeitsangebot-
dc.subjectTheorie-
dc.subjectDeutschland-
dc.titleAnalytical Prediction of Transitions Probabilities in the Conditional Logit Model-
dc.typedoc-type:workingPaper-
Appears in Collections:EconStor

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.