Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/20250
Title: Analytical Prediction of Transitions Probabilities in the Conditional Logit Model
Keywords: J22
C15
C35
ddc:330
conditional logit model
logistic distributions
behavioral microsimulation
social insurance reform
Logit-Modell
Simulation
Prognoseverfahren
Sozialreform
Arbeitsangebot
Theorie
Deutschland
Issue Date: 16-Oct-2013
Publisher: 
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.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/10419/20250
Other Identifiers: http://hdl.handle.net/10419/20250
ppn:378770780
Appears in Collections:EconStor

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