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Propensity Score Matching (PSM) has become a popular approach to estimate causal effects. It relies on the assumption that selection into treatment can be explained purely in terms of observable characteristics (unconfoundedness assumption) and on the property that balancing on the propensity score is equivalent to balancing on the observed covariates. The(More)
NON TECHNICAL SUMMARY Childcare arrangements are a key element in the work decisions by mothers insofar as they are fundamental to the extent to which women manage to juggle childcare and participation in the labour market. In traditional economic models of female labour market participation childcare is usually thought as being provided by the market.(More)
This publication is part of the proposed Special Collection "Intergenerational family ties in Europe: Multiple linkages between individuals, families and social contexts", edited by Pearl Dykstra. This open-access work is published under the terms of the Creative Commons Attribution NonCommercial License 2.0 Germany, which permits use, reproduction &(More)
Motivated by the evaluation of the effect of GATT, we investigate the role of network information in propensity score matching. Under the assumption of strong ignorability, propensity score matching (PSM) is a widely used technique in causal inference studies to adjust for bias arising from an unbalanced distribution of observed confounders between a(More)
We investigate the transition outside the parental home for second generation migrants in Spain, a " latest-late " transition to adulthood country which has recently become a destination for migrants. We simultaneously take into account two sources of heterogeneity: the country of origin and the province of destination in Spain. Micro-census data provide an(More)
Although population-based surveys are now considered the " gold standard " for estimating HIV prevalence, they are usually plagued by problems of nonignorable non-response. This paper uses the partial identification approach to assess the uncertainty caused by missing HIV status due to unit and item nonresponse. We show how to exploit the availability of(More)
The aim of this paper is to assess the quality of the ranking of institutions obtained with multilevel techniques in presence of different model misspecifications and data structures. Through a Monte Carlo simulation study, we find that it is quite hard to obtain a reliable ranking of the whole effectiveness distribution, while, under various experimental(More)
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