Regression discontinuity (RD) methods constitute a quasi-experimental approach to causal inference that exploits a predetermined rule linking treatment assignment to a continuous forcing variable. At ...
Gerardino, Maria Paula, Stephan Litschig, and Dina D. Pomeranz. "Monitoring Public Procurement: Evidence from a Regression Discontinuity Design in Chile." Working Paper, September 2014. (Latest ...
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine ...
National institutions and policies could provide powerful levers to steer the global food system towards higher agricultural production and lower environmental impact. However, causal evidence of ...