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Analytical Prediction of Transitions Probabilities in the Conditional Logit Model

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dc.creator Bonin, Holger
dc.creator Schneider, Hilmar
dc.date 2004
dc.date.accessioned 2013-10-16T07:09:30Z
dc.date.available 2013-10-16T07:09:30Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/20250
dc.identifier ppn:378770780
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/20250
dc.description The 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.language eng
dc.publisher
dc.relation IZA Discussion paper series 1015
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject J22
dc.subject C15
dc.subject C35
dc.subject ddc:330
dc.subject conditional logit model
dc.subject logistic distributions
dc.subject behavioral microsimulation
dc.subject social insurance reform
dc.subject Logit-Modell
dc.subject Simulation
dc.subject Prognoseverfahren
dc.subject Sozialreform
dc.subject Arbeitsangebot
dc.subject Theorie
dc.subject Deutschland
dc.title Analytical Prediction of Transitions Probabilities in the Conditional Logit Model
dc.type doc-type:workingPaper


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