Results 31 to 40 of about 9,228 (251)

The Regression Discontinuity Design

open access: yes, 2020
This handbook chapter gives an introduction to the sharp regression discontinuity design, covering identification, estimation, inference, and falsification methods.
Cattaneo, Matias D.   +2 more
openaire   +2 more sources

Regression discontinuity design with multivalued treatments

open access: yesJournal of Applied Econometrics, 2023
SummaryWe study identification and estimation in the regression discontinuity design with a multivalued treatment. We show that heterogeneity in the first stage discontinuities can be used for the identification of the marginal treatment effects under an alternative assumption, namely, the homogeneity of the LATEs along some covariates. This assumption
Caetano, Carolina   +2 more
openaire   +3 more sources

Using the Chow Test to Analyze Regression Discontinuities [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2008
The Chow Test (Chow, 1960) is a method well known in econometrics. It was originally designed to analyze the same variables obtained in two different data sets to determine if they were similar enough to be pooled together.
Howard H. Lee
doaj  

Regression Discontinuity Designs With a Continuous Treatment [PDF]

open access: yesJournal of the American Statistical Association, 2018
The standard regression discontinuity (RD) design deals with a binary treatment. Many empirical applications of RD designs involve continuous treatments. This paper establishes identification and robust bias-corrected inference for such RD design.
Yingying Dong   +2 more
openaire   +1 more source

The effect of an unconventional fare decrease on the demand for bus journeys: A regression discontinuity approach

open access: yesJournal of Public Transportation, 2023
We analyse the effect of a change in the fare structure for bus journeys in London on different demand measures using a regression discontinuity design.
Kingsley Offiaeli, Firat Yaman
doaj   +1 more source

Rdrobust: Software for Regression-discontinuity Designs [PDF]

open access: yesThe Stata Journal: Promoting communications on statistics and Stata, 2017
We describe a major upgrade to the Stata (and R) rdrobust package, which provides a wide array of estimation, inference, and falsification methods for the analysis and interpretation of regression-discontinuity designs. The main new features of this upgraded version are as follows: i) covariate-adjusted bandwidth selection, point estimation, and robust
Calonico, Sebastian   +3 more
openaire   +1 more source

Does Education Affect Rural Women’s Trust? Evidence From China

open access: yesFrontiers in Psychology, 2022
Trust is of great significance to the economic and social development of a country. In the case of China, the trust of rural women has undergone tremendous changes along with the development of rural areas.
Siyu Xu, Yeye Zhao, Noshaba Aziz, Jun He
doaj   +1 more source

Including Covariates in the Regression Discontinuity Design [PDF]

open access: yesJournal of Business & Economic Statistics, 2017
This article proposes a fully nonparametric kernel method to account for observed covariates in regression discontinuity designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates reduces the asymptotic variance and allows estimating the treatment effect at the rate of one-dimensional ...
Frölich, Markus, Huber, Martin
openaire   +5 more sources

Empirical likelihood for regression discontinuity design [PDF]

open access: yesJournal of Econometrics, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Taisuke Otsu   +2 more
openaire   +4 more sources

A guide to regression discontinuity designs in medical applications

open access: yesStatistics in Medicine, 2023
We present a practical guide for the analysis of regression discontinuity (RD) designs in biomedical contexts. We begin by introducing key concepts, assumptions, and estimands within both the continuity‐based framework and the local randomization framework.
Matias D. Cattaneo   +2 more
openaire   +4 more sources

Home - About - Disclaimer - Privacy