Results 21 to 30 of about 9,228 (251)
China Economic Quarterly International, 2021 This paper employs regression discontinuity design to estimate the impact of heating modes on residents’ energy consumption, energy efficiency gap, and energy usage behavior, using the Chinese Residential Energy Consumption Survey (CRECS).
Jing Jin, Yucheng Wang, Xinye Zheng
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Regression Discontinuity Designs in Health [PDF]
Epidemiology, 2020 Background: Regression discontinuity designs are non-randomized study designs that permit strong causal inference with relatively weak assumptions. Interest in these designs is growing but there is limited knowledge of the extent of their application in health. We aimed to conduct a comprehensive systematic review of the use of
Hilton Boon, Michele +4 more
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AERA Open, 2021 The Tennessee Voluntary Pre-K Program (TN-VPK) is statewide full-day program that gives priority to children from low-income families. A regression-discontinuity design with a statewide probability sample of 155 TN-VPK classrooms and 5,189 children ...
Georgine M. Pion, Mark W. Lipsey
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Regression discontinuity design with covariates [PDF]
Working Paper Series, 2007 In this paper, the regression discontinuity design (RDD) is generalized to account for differences in observed covariates X in a fully nonparametric way. It is shown that the treatment effect can be estimated at the rate for one-dimensional nonparametric regression irrespective of the dimension of X.
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Energies, 2019 Confronting an energy crisis, the government of Ghana enacted a power factor correction policy in 1995. The policy imposes a penalty on large-scale electricity users, namely, special load tariff (SLT) customers of the Electricity Company of Ghana (ECG ...
Samuel Lotsu +3 more
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Does access to credit reduce SMEs’ tax avoidance? Evidence from a regression discontinuity design
Financial Innovation, 2021 This study investigates the effect of targeted reserve requirement ratio cuts (TRRRCs) on tax avoidance among small and micro enterprises (SMEs) with operating revenues below specific cutoffs in China. Using a regression discontinuity design, we causally
Xiaowei Kong +3 more
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ON NONPARAMETRIC INFERENCE IN THE REGRESSION DISCONTINUITY DESIGN [PDF]
Econometric Theory, 2017 This paper studies the validity of nonparametric tests used in the regression discontinuity design. The null hypothesis of interest is that the average treatment effect at the threshold in the so-called sharp design equals a pre-specified value. We first show that, under assumptions used in the majority of the literature, for any test the power against
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Research & Politics, 2023 The regression discontinuity (RD) design offers identification of causal effects under weak assumptions, earning it a position as a standard method in modern political science research.
Drew Stommes +2 more
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Another look at the regression discontinuity design [PDF]
Working Paper Series, 2003 The attractiveness of the Regression Discontinuity Design (RDD) rests on its similarity to an experimental design. On the other hand, it is of limited applicability since rarely assignment to the treatment is based on known pre-program measures. Besides, it only allows to identify the mean impact on a very specific sub-population. Here we show that the
BATTISTIN, ERICH, RETTORE, ENRICO
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Bayesian model averaging for nonparametric discontinuity design.
PLoS ONE, 2022 Quasi-experimental research designs, such as regression discontinuity and interrupted time series, allow for causal inference in the absence of a randomized controlled trial, at the cost of additional assumptions.
Max Hinne +3 more
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