Article ID Journal Published Year Pages File Type
5105270 World Development 2017 23 Pages PDF
Abstract
As the effect of project type on access rates might be confounded by simultaneous drivers of project-type choice and access rates, the quantitative analysis is based on a difference-in-difference estimator in combination with kernel matching to overcome the endogeneity of project type. The treatment effect revealed by this analysis is robust to various specification changes and the robustness checks show no structural differences between treatment and control groups that could bias the results. The calculation of matching weights for the kernel matching is informed by semi-structured interviews with academics and sector experts in Brazil explaining the determinants of project choice. The interviews highlight the political economy behind infrastructure expansion in rural Brazil.
Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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