Results 31 to 40 of about 9,228 (251)
The Regression Discontinuity Design
This handbook chapter gives an introduction to the sharp regression discontinuity design, covering identification, estimation, inference, and falsification methods.
Cattaneo, Matias D. +2 more
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Regression discontinuity design with multivalued treatments
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
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Using the Chow Test to Analyze Regression Discontinuities [PDF]
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
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Regression Discontinuity Designs With a Continuous Treatment [PDF]
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
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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
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Rdrobust: Software for Regression-discontinuity Designs [PDF]
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
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Does Education Affect Rural Women’s Trust? Evidence From China
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
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Including Covariates in the Regression Discontinuity Design [PDF]
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
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Empirical likelihood for regression discontinuity design [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Taisuke Otsu +2 more
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A guide to regression discontinuity designs in medical applications
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
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