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Distributional counterfactual analysis with (common) deterministic trend units
(2018-01)
The goal of this paper is to extend the counterfactual methodologies in particular Carvalho et al. (2016), by considering the estimation of quantile counterfactuals in the presence of trend units. We derive an asymptotically ...
Social security effects on income distribution: a counterfactual analysis for Brazil
(2007)
According to Diamond (1977), one of the reasons for the existence of social security systems is that they function as an income redistribution mechanism. There is an extensive literature that tests whether social security ...
The perils of counterfactual analysis with integrated processes
(2017)
Recently, there has been a growing interest in developing econometric tools to conduct counterfactual analysis with aggregate data when a "treated" unit suffers an intervention, such as a policy change, and there is no ...
Oaxaca-Blinder type counterfactual decomposition methods for duration outcomes
(Universidad del RosarioFacultad de Economía, 2016)
Existing inference procedures to perform counterfactual decomposition of the difference between distributional features, applicable when data is fully observed, are not suitable for censored outcomes. This may explain the ...
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 ...
Regional or educational disparities? a counterfactual exercise
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2004-03-01)
This work investigates the impact of schooling Oil income distribution in statesjregions of Brazil. Using a semi-parametric model, discussed in DiNardo, Fortin & Lemieux (1996), we measure how much income diíferences between ...
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 ...