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Linear fixed effects regression models are a primary workhorse for causal inference. And yet, even when the treatment is exogenous within each unit, neither one-way nor two-way fixed effects model can in general consistently estimate the average treatment effect. In this paper, we show that weighted linear fixed effects regression models can overcome this(More)
Patients who have exhausted all options for conventional dialysis access due to lack of available vessels may be candidates for placement of a synthetic axillofemoral vascular graft. The axillofemoral access is surgically constructed under general anesthesia. The synthetic graft is anastomosed, end to side, to the axillary artery, proximally, and distally(More)
  • Rukmini Cochairs, Pratham Banerji, +88 authors Olga
  • 2013
i Toward Universal Learning: A Global Framework for Measuring Learning is the second in a series of three reports from the Learning Metrics Task Force. The first report was focused on identifying what learning is important for all children and youth (Toward Universal Learning: What Every Child Should Learn), and a third report will address how the(More)
Significant scholarship indicates that female legislators focus their attention on " women's issues " to a greater extent than do male lawmakers. Yet, women's issues have thus far been largely selected by scholars ex ante, often without comparison to other issues. We instead define women's issues in terms of those sponsored at a greater rate by women in(More)
This paper develops a hierarchical agency model with informational asymmetries where a policymaker accountable to the voter through an intermediary behaves either as an insulated bureaucrat or as a pandering politician. We examine the model's predictions using U.S. city-level data and …nd a negative di¤erential in popular police employment policies between(More)
Linear fixed effects regression estimators are a primary workhorse for causal inference. And yet, even when the treatment is exogenous within each unit, neither the one-way nor the two-way fixed effects estimator is generally consistent for the average treatment effect. We show that weighted linear fixed effects regression estimators can overcome this(More)