Guido Imbens, Stefan Wager, OPTIMIZED REGRESSION DISCONTINUITY DESIGNS, The Review of Economics and Statistics, Vol. 101, No. 2 (May 2019), pp. 264-278 ...

This paper proposes consistent testing methods for examining the effect of a policy treatment on the whole distribution of a response outcome within the setting of a regression discontinuity design.

The Regression Discontinuity Design (RDD) is one of the emerging methodology for recent policy impact assessment area. But based on the unique nature of RDD, its assumptions for practical application ...

In 2019, men aged 40 to 46 automatically received the coupon from local governments, while men aged 47 and over had to apply for the coupon. Based on this, we estimate the effect of automatically ...

For identification, we exploit a scoring rule of the national auditing agency, which allows for regression discontinuity analysis. Our preliminary results show that the audits seem to lead to a ...

We quantify the effect of mask mandates in the United States. Our regression discontinuity design exploits county-level variation in COVID-19 cases, hospital admissions, and deaths across the border ...

Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations ...

Fifth, the regression discontinuity design assumed that the effect of an abrupt change from child to adult status on opioid prescriptions and opioid-related adverse events was mediated only ...