The Regression Discontinuity Design: Methodological Issues and Applications in Economics, Statistics and Epidemiology

Abstract

Speakers: Various

Date
Jun 27, 2017 — Jun 17, 2017
Event
One day workshop
Location
Department of Statistical Science
London, UK

Programme

This workshop aims at discussing recent methodological issues and applications of the regression discontinuity design (RDD). The RDD is an econometric quasi-experimental design aimed at estimating the causal effects of a treatment by exploiting naturally occurring or externally imposed treatment rules.

In this workshop, we aim at mixing and cross-fertilise the perspectives of Economists, Statisticians and Epidemiologists. The workshop will consist of different sessions mixing speakers broadly coming from an Economics background with speakers broadly coming from a statistical one.

The workshop is jointly organised by the UCL Department of Statistical Science and CEMMAP. It also serves as an end-of-project event for an MRC-funded research project (MR/K01438/1) aimed at exploring the application of the RDD to evaluating the effects of drugs and treatments in primary care.

The workshop will be held at the Institute of Fiscal Studies (Conference Room) on June 27th 2017 from 9.30am to 5.30pm - please fill the registration form at the bottom of this page.

The list of confirmed speakers is the following.

  • Matias Cattaneo (University of Michigan). Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs
  • Alessandra Mattei (University of Florence). Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs (Joint work with L. Forastiere and F. Mealli)
  • Toru Kitagawa (UCL and Cemmap). Testing Identifying Assumptions in Fuzzy Regression Discontinuity Design (joint work with Yoichi Arai, Yu-Chin Hsu, Ismael Mourifie and Yuanyuan Wan)
  • Lars Pedersen (University of Aarhus). Impact of HbA1c testing on cardiovascular morbidity and mortality: A Regression Discontinuity Design study
  • Fran├žois Gerard (Columbia University). Bounds on treatment effects in Regression Discontinuity Designs under Manipulation of the Running Variable, with an Application to Unemployment Insurance in Brazil
  • Gianluca Baio & Federico Ricciardi (UCL). Statistical issues and Bayesian inference in the application of the Regression Discontinuity Design for causal inference from clinical administrative databases
  • Silvia Barcellos (University of Southern California). Distributional Effects of Education on Health (joint work with Leandro S. Carvalho, and Patrick Turley)
Gianluca Baio
Gianluca Baio
Professor of Statistics and Health Economics