Results 31 to 40 of about 410,064 (354)
Isotonic regression discontinuity designs [PDF]
Journal of Econometrics, 2019 This paper studies the estimation and inference for the isotonic regression at the boundary point, an object that is particularly interesting and required in the analysis of monotone regression discontinuity designs. We show that the isotonic regression is inconsistent in this setting and derive the asymptotic distributions of boundary corrected ...
Andrii Babii, Rohit Kumar
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The causal effect of retirement on stress in older adults in China: A regression discontinuity study
SSM: Population Health, 2020 Population aging in middle-income countries, including China, has resulted in strong economic incentives to increase the retirement age. These economic incentives should be weighed up against the effects of later retirement on physical and mental health ...
Simiao Chen +2 more
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Optimized Regression Discontinuity Designs [PDF]
The Review of Economics and Statistics, 2019 Review of Economics and Statistics ...
Stefan Wager, Guido W. Imbens
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Regression discontinuity design and its applications to Science of Science: A survey
Journal of Data and Information Science, 2023 With the availability of large-scale scholarly datasets, scientists from various domains hope to understand the underlying mechanisms behind science, forming a vibrant area of inquiry in the emerging “science of science” field.
Li Meiling, Zhang Yang, Wang Yang
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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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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
Max H. Farrell +3 more
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BMC Health Services Research, 2020 Background The proportion of people aged 60 years or over is growing faster than other age groups. Traditionally, retirement has been considered as both a loss to the labour market and an additional economic burden on the nation.
Shanquan Chen +7 more
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Regression Discontinuity Designs in Economics [PDF]
Journal of Economic Literature, 2010 This paper provides an introduction and “user guide” to Regression Discontinuity (RD) designs for empirical researchers. It presents the basic theory behind the research design, details when RD is likely to be valid or invalid given economic incentives, explains why it is considered a “quasi-experimental” design, and summarizes different ways (with ...
David S. Lee, Thomas Lemieux
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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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Empirical likelihood for regression discontinuity design [PDF]
Journal of Econometrics, 2011 This paper proposes empirical likelihood based inference methods for causal effects identified from regression discontinuity designs. We consider both the sharp and fuzzy regression discontinuity designs and treat the regression functions as nonparametric.
Otsu, Taisuke +2 more
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