Search results for "JEL Classification: C14"

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Modeling temporal treatment effects with zero inflated semi-parametric regression models: The case of local development policies in France

2017

International audience; A semi-parametric approach is proposed to estimate the variation along time of the effects of two distinct public policies that were devoted to boost rural development in France over a similar period of time. At a micro data level, it is often observed that the dependent variable, such as local employment, does not vary along time, so that we face a kind of zero inflated phenomenon that cannot be dealt with a continuous response model. We introduce a conditional mixture model which combines a mass at zero and a continuous response. The suggested zero inflated semi-parametric statistical approach relies on the flexibility and modularity of additive models with the abi…

FOS: Computer and information sciencesEconomics and EconometricsLocal Developmentsemiparametric regressiondifferencePublic policyselection01 natural sciencesStatistics - Applicationslocal developmentpanel data010104 statistics & probabilityEconomica0502 economics and businessEconometricsApplications (stat.AP)0101 mathematics[MATH]Mathematics [math]Additive modelsemi-parametric regressionenterprise zonespropensity scoreJEL Classification: C14 C23 C54 O18050205 econometrics Mathematicsinferencesmoothing parametertemporal effects05 social sciencesSH1_2SH1_6multiple treatmentspolicy evaluation[SHS.ECO]Humanities and Social Sciences/Economics and FinanceZero (linguistics)Rural developmentVariation (linguistics)asymptoticsmixture of distributionsSemi parametric regressionAdditive modelsPanel dataAdditive models; local development; mixture of distributions; multiple treatments; panel data; policy evaluation; semiparametric regression; temporal effects
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