The regression discontinuity (RD) design is one of the most widely used nonexperimental
methods for causal inference and program evaluation. Over the last two decades, statistical …

This article explores estimation and inference in a regression kink model with an unknown
threshold. A regression kink model (or continuous threshold model) is a threshold …

Is there a minimum tax to GDP ratio associated with a significant acceleration in the process
of growth and development? We give an empirical answer to this question by investigating …

We examine the effect of attending stand-alone technical high schools in Connecticut using
regression discontinuity. Male students are 10 percentage points more likely to graduate …

Using difference-in-differences, synthetic control, and introducing a new break-detection
approach, I show that the introduction of North America's first major carbon tax has reduced …

In this paper we detail the entire Regression Discontinuity Design (RDD) history, including
its origins in the 1960s, and its two main waves of formalization in the 1970s and 2000s …

Many empirical applications of regression discontinuity (RD) models use a running variable
that is rounded and hence discrete, eg age in years, or birth weight in ounces. This paper …

Even when external researchers have access to social media data, they are not privy to
decisions that went into platform design—including the measurement and testing that goes …

Abstract Models of costly information acquisition have grown in popularity in economics.
However, little is known about what form information costs take in reality. We show that …

Although many students suffer from anxiety and depression, and often identify school
pressure and concerns about their futures as the main reasons for their worries, little is …