The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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Background: The effects that the expansion of the Seguro Popular (sp), Mexico's universal -according to the government-health insurance program, has had on the human and material resources needed to meet the new demand remain largely unexplored. It is a key piece in the quest for universal healthcare that we analyze in this paper. Methodology: Unlike previous evaluations, we use sanitary jurisdictions as units of analysis and operationalize sp's intervention as a continuous treatment indicator (relative to the number of recipients). Results: Estimates using a variety of propensity score approaches suggest that, on the average, sp effectively has had a positive impact on Mexico's health resources. However, quantile and interaction treatment effects also suggest unexpected distributional effects on health resources. Conclusions: Overall, our results suggest that the program may be leaving behind some of the most vulnerable geographical areas.

In this paper we present a continuous extension for longitudinal analysis settings of the recently proposed Covariate Balancing Propensity Score (CBPS) methodology. While extensions of the CBPS methodology to both marginal structural models and general treatment regimes have been proposed, these extensions have been kept separately. We propose to bring them together using the generalized method of moments to estimate inverse probability weights such that after weighting the association between time-varying covariates and the treatment is minimized. A simulation analysis confirms the correlation-breaking performance of the proposed technique. As an empirical application we look at the impact the gradual roll-out of Seguro Popular, a universal health insurance program, has had on the resources available for the provision of healthcare services in Mexico.

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