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DTSTART:20190331T010000
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DTSTART:20191027T010000
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DTSTART;TZID=Europe/Helsinki:20190204T121500
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SUMMARY:Hanno FOERSTER (University of Mannheim) - "The Impact of Post-Marital Maintenance on Dynamic Decisions and Welfare of Couples " Polytechnique Recruitment
DESCRIPTION:Time: 12:15 pm – 1:30 pmDate: February 4 \, 2019Place: Room 3001\nHanno FOERSTER (University of Mannheim) – “The Impact of Post-Marital Maintenance on Dynamic Decisions and Welfare of Couples ” Polytechnique Recruitment\nAbstract:\nIn many countries divorce law mandates post-marital maintenance payments (child support and alimony) to insure the lower earner in married couples against financial losses upon divorce. This paper studies how maintenance payments affect couples’ intertemporal decisions and wel- fare. I develop a dynamic model of family labor supply\, housework\, savings and divorce and estimate it using Danish register data. The model captures the policy trade off between providing insurance to the lower earner and enabling couples to specialize efficiently\, on the one hand\, and maintaining labor supply incentives for divorcees\, on the other hand. I use the estimated model to analyze counterfactual policy scenarios in which child support and alimony payments are changed. The welfare maximizing maintenance policy is to triple child support payments and reduce alimony by 12.5% relative to the Danish status quo. Switching to the welfare maximizing policy makes men worse off\, but comparisons to a first best scenario reveal that Pareto improvements are feasible\, highlighting the limitations of maintenance policies. \n
URL:https://crest.science/event/hanno-foerster-university-of-mannheim-the-impact-of-post-marital-maintenance-on-dynamic-decisions-and-welfare-of-couples-polytechnique-recruitment/
LOCATION:3001
CATEGORIES:Economics
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DTSTART;TZID=Europe/Paris:20190204T140000
DTEND;TZID=Europe/Paris:20190204T151500
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LAST-MODIFIED:20190108T142832Z
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SUMMARY:Tom BERRETT(University of Cambridge) - "Efficient multivariate functional estimation and independence testing"
DESCRIPTION:\nThe Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:15 pm\nDate: 4 th of February 2019\nPlace: Room 3001.\nTom BERRETT(University of Cambridge) – “Efficient multivariate functional estimation and independence testing“ \nAbstract: Many statistical procedures\, including goodness-of-fit tests and methods for independent component analysis\, rely critically on the estimation of the entropy of a distribution. In this talk I will first describe new entropy estimators that are efficient and achieve the local asymptotic minimax lower bound with respect to squared error loss. These estimators are constructed as weighted averages of the estimators originally proposed by Kozachenko and Leonenko (1987)\, based on the k-nearest neighbour distances of a sample of n independent and identically distributed random vectors taking values in Rd. A careful choice of weights enables us to obtain an efficient estimator for arbitrary d\, given sufficient smoothness\, while the original unweighted estimator is typically only efficient for d < 3. I will also discuss newer results on the estimation of more general functionals\, in settings where we have samples from two different distributions. \nThe next part of the talk will be to use our entropy estimators to propose a test of independence of two multivariate random vectors\, given a sample from the underlying popu­lation. Our approach\, which we call MINT\, is based on the estimation of mutual information\, which we may decompose into joint and marginal entropies. The proposed critical values\, which may be obtained from simulation in the case where an approximation to one marginal is available or resampling otherwise\, facilitate size guarantees\, and we provide local power analyses\, uniformly over classes of densities whose mutual information satisfies a lower bound. Our ideas may be extended to provide a new goodness-of-fit tests of normal linear models based on assessing the independence of our vector of covariates and an appropriately-defined notion of an error vector. \nOrganizers:\nCristina BUTUCEA\, Alexandre TSYBAKOV\, Julie JOSSE\, Eric MOULINES\, Mathieu ROSENBAUM\nSponsors:\nCREST-CMAP\n \n\n
URL:https://crest.science/event/jamal-najim-cnrs-upem-tba-2-2-3-5-2-2-2-2-2-2-3-2-2/
CATEGORIES:Statistics
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