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Identifying treatment effects and counterfactual distributions using data combination with unobserved heterogeneity
(Universidad del Pacífico. Centro de InvestigaciónPerú, 2015)
This paper considers identification of treatment effects when the outcome variables and covari-ates are not observed in the same data sets. Ecological inference models, where aggregate out-come information is combined with ...
Unobserved Heterogeneity in Regression Models: A Semiparametric Approach Based on Nonlinear Sieves
(Sociedade Brasileira de Econometria, 2015)
Poverty dynamics in Nairobi's slums; Testing for state dependence and heterogeneity effects
(Pontificia Universidad Católica del Perú, 2022)
Copula-based regression models: A survey
(ELSEVIER SCIENCE BV, 2009)
In this review paper we collect several results about copula-based models, especially concerning regression models, by focusing on some insurance applications. (C) 2009 Elsevier B.V. All rights reserved.
Identifying treatment effects and counterfactual distributions using data combination with unobserved heterogeneity
(Universidad del Pacífico. Centro de Investigación, 2015)
This paper considers identification of treatment effects when the outcome variables and covari-ates are not observed in the same data sets. Ecological inference models, where aggregate out-come information is combined with ...
Identifying treatment effects and counterfactual distributions using data combination with unobserved heterogeneity
(Universidad del Pacífico. Centro de Investigación, 2015)
This paper considers identification of treatment effects when the outcome variables and covari-ates are not observed in the same data sets. Ecological inference models, where aggregate out-come information is combined with ...