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Dynamic Optimization in Models for State Panel Data: A Cohort Panel Data Model of the Effects of Divorce Laws on Divorce Rates

dc.contributor.author Iyavarakul, T
dc.contributor.author McElroy, Marjorie B
dc.contributor.author Staub, Kalina
dc.date.accessioned 2016-12-02T14:57:14Z
dc.date.issued 2011-06-14
dc.identifier.uri http://hdl.handle.net/10161/13113
dc.description.abstract We present a new approach to the estimation of dynamic models using panel data, not on individuals, but aggregated to some level such as the school, county or state. This approach embeds the reduced form implications of dynamic optimization for exiting a chosen state (via divorce, dropping out, employment, etc.) into a model suitable for estimation with state panel data or similar aggregates (county, SMSA, etc.). With forward looking behaviors, exogenous changes in laws or rules give rise to selection effects on those considering entry and surprise effects for those who have already entered. The application to the effects of divorce laws on divorce rates.
dc.relation.ispartof Economic Research Initiatives at Duke (ERID) Working Paper
dc.subject marriage and divorce
dc.subject divorce laws
dc.subject Coase Theorem
dc.subject state panel data
dc.subject dynamic models
dc.title Dynamic Optimization in Models for State Panel Data: A Cohort Panel Data Model of the Effects of Divorce Laws on Divorce Rates
dc.type Journal article
pubs.issue 140
pubs.notes Source info: Economic Research Initiatives at Duke (ERID) Working Paper No. 140
pubs.organisational-group Duke
pubs.organisational-group Duke Population Research Center
pubs.organisational-group Duke Population Research Institute
pubs.organisational-group Economics
pubs.organisational-group Sanford School of Public Policy
pubs.organisational-group Trinity College of Arts & Sciences


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