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Regression Discontinuity Designs With a Continuous Treatment [PDF]
Journal 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
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Rdrobust: Software for Regression-discontinuity Designs [PDF]
The 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 ...
Calonico, Sebastian +3 more
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Journal 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
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Does Education Affect Rural Women’s Trust? Evidence From China
Frontiers 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
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Preschool and maternal labour market outcomes: evidence from a regression discontinuity design [PDF]
, 2009 Expanding preschool education has the dual goals of improving child outcomes and work incentives for mothers. This paper provides evidence on the second, identifying the impact of preschool attendance on maternal labor market outcomes in Argentina.
Berlinski, S., Galiani, S., McEwan, P.J.
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Including Covariates in the Regression Discontinuity Design [PDF]
Journal 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
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BMC Geriatrics, 2022 Background Previous studies suggest that retirement, a major life event, affects overall healthcare utilization. We examine, the effects of retirement on inpatient healthcare utilization, including effect heterogeneity by gender, disease category, and ...
Xintong Zhao +4 more
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Regression discontinuity design studies: a guide for health researchers
British medical journalAs randomized controlled trials are not always feasible, quasi-experimental methods, such as regression discontinuity design, can expand the scope of clinical investigations aimed at causal inference in observational settings.
Sebastian Calonico +3 more
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Empirical likelihood for regression discontinuity design [PDF]
Journal of Econometrics, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Taisuke Otsu +2 more
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The Regression Discontinuity Design — Theory and Applications [PDF]
, 2008 In Regression Discontinuity (RD) designs for evaluating causal effects of interventions, assignment to a treatment is determined at least partly by the value of an observed covariate lying on either side of a fixed threshold.
Imbens, Guido, Lemieux, Thomas
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