DeepAI AI Chat

The Regression Discontinuity Design

06/10/2019

∙

This handbook chapter gives an introduction to the sharp regression discontinuity design, covering identification, estimation, inference, and falsification methods.

READ FULL TEXT

Matias D. Cattaneo
33 publications
Rocio Titiunik
13 publications
Gonzalo Vazquez-Bare
3 publications

research

∙ 08/23/2019

Dyadic Regression

Dyadic data, where outcomes reflecting pairwise interaction among sample...

0 Bryan S. Graham, et al. ∙

research

∙ 03/05/2018

Dagger and dilations in the category of von Neumann algebras

This doctoral thesis is a mathematical study of quantum computing, conce...

0 Bas Westerbaan, et al. ∙

research

∙ 01/10/2015

Autonomous Farm Vehicles: Prototype of Power Reaper

Chapter 2 will begin with introduction of Agricultural Robotics. There w...

0 Abdul Qadeer Khan, et al. ∙

research

∙ 09/03/2022

Neural Networks for Chess

AlphaZero, Leela Chess Zero and Stockfish NNUE revolutionized Computer C...

0 Dominik Klein, et al. ∙

research

∙ 02/03/2017

Sharp Convergence Rates for Forward Regression in High-Dimensional Sparse Linear Models

Forward regression is a statistical model selection and estimation proce...

0 Damian Kozbur, et al. ∙

research

∙ 11/21/2019

A Practical Introduction to Regression Discontinuity Designs: Foundations

In this Element and its accompanying Element, Matias D. Cattaneo, Nicola...

0 Matias D. Cattaneo, et al. ∙

research

∙ 09/29/2021

On the reliability of published findings using the regression discontinuity design in political science

The regression discontinuity (RD) design offers identification of causal...

0 Drew Stommes, et al. ∙

The Regression Discontinuity Design

Related Research

Dyadic Regression

Dagger and dilations in the category of von Neumann algebras

Autonomous Farm Vehicles: Prototype of Power Reaper

Neural Networks for Chess

Sharp Convergence Rates for Forward Regression in High-Dimensional Sparse Linear Models

A Practical Introduction to Regression Discontinuity Designs: Foundations

On the reliability of published findings using the regression discontinuity design in political science