Estimating Choice Models with Piecewise Smooth Objective Functions: Application to Joint Retirement

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dc.contributor.authorRosá, Tatiana
dc.contributor.authorWei, Siqi
dc.coverage.spatialEuropaes_ES
dc.date.accessioned2025-12-20T00:04:27Z
dc.date.available2025-12-20T00:04:27Z
dc.date.issued2025-12-19
dc.description.tableofcontentsWe study choice models with piecewise smooth objective functions and provide conditions under which introducing latent variables derived from regional components yields a censoredmodel– like representation. These latent variables can then be treated as potential outcomes, enabling tractable estimation via the stochastic EM algorithm. We illustrate the framework using two examples: responses to taxes and the (S, s) model. We further estimate a joint retirement decision model for European couples using an interdependent duration framework with our methods. The results provide empirical evidence of complementarities between spouses in the retirement process in Europe.es_ES
dc.identifier.citationRosá, T., & Wei, S. (2025, December 19). Estimating Choice Models with Piecewise Smooth Objective Functions: Application to Joint Retirement. Retrieved from https://scioteca.caf.com/handle/123456789/2570en_GB
dc.identifier.urihttps://scioteca.caf.com/handle/123456789/2570
dc.language.isoenes_ES
dc.rightsCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectInvestigación socioeconómicaes_ES
dc.subjectCiencia conductual
dc.titleEstimating Choice Models with Piecewise Smooth Objective Functions: Application to Joint Retirementes_ES
dc.typeworkingPaperes_ES

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