• Title/Summary/Keyword: regression discontinuity design

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A Study on Kernel Type Discontinuity Point Estimations

  • Huh, Jib
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.4
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    • pp.929-937
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    • 2003
  • Kernel type estimations of discontinuity point at an unknown location in regression function or its derivatives have been developed. It is known that the discontinuity point estimator based on $Gasser-M\ddot{u}ller$ regression estimator with a one-sided kernel function which has a zero value at the point 0 makes a poor asymptotic behavior. Further, the asymptotic variance of $Gasser-M\ddot{u}ller$ regression estimator in the random design case is 1.5 times larger that the one in the corresponding fixed design case, while those two are identical for the local polynomial regression estimator. Although $Gasser-M\ddot{u}ller$ regression estimator with a one-sided kernel function which has a non-zero value at the point 0 for the modification is used, computer simulation show that this phenomenon is also appeared in the discontinuity point estimation.

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Regression discontinuity for survival data

  • Youngjoo Cho
    • Communications for Statistical Applications and Methods
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    • v.31 no.1
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    • pp.155-178
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    • 2024
  • Regression discontinuity (RD) design is one of the most widely used methods in causal inference for estimation of treatment effect when the treatment is created by a cutpoint from the covariate of interest. There has been little attention to RD design, although it provides a very useful tool for analysis of treatment effect for censored data. In this paper, we define the causal effect for survival function in RD design when the treatment is assigned deterministically by the covariate of interest. We propose estimators of this causal effect for survival data by using transformation, which leads unbiased estimator of the survival function with local linear regression. Simulation studies show the validity of our approach. We also illustrate our proposed method using the prostate, lung, colorectal and ovarian (PLCO) dataset.

The Peer Effects of Under-performing Students on Proficient Students: Evidence from Regression Discontinuity Design (학업성취도 미달 학생이 보통 이상 학생의 학업성취도에 미치는 친구효과 추정)

  • Woo, Seokjin
    • Journal of Labour Economics
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    • v.39 no.3
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    • pp.75-97
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    • 2016
  • This paper estimates the peer effect of how improving the under-performing students can affect the academic performance of other students, focusing on the ratio of students more than proficient. We take advantage of the regression discontinuity design of the policy assignment rule of School-for-Improvement (SFI), which targeted the under-performing schools as an identification strategy. The estimation results from the 2009-2010 NAEA (National Assessment of Educational Achievement) reveal that the decrease of the ratio of under-performing students tends to increase the ratio of excellent or proficient students at around the policy cutoff. The finding turns out to be robust to various falsification tests.

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Nonparametric Estimation of Discontinuous Variance Function in Regression Model

  • Kang, Kee-Hoon;Huh, Jib
    • Proceedings of the Korean Statistical Society Conference
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    • 2002.11a
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    • pp.103-108
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    • 2002
  • We consider an estimation of discontinuous variance function in nonparametric heteroscedastic random design regression model. We first propose estimators of a change point and jump size in variance function and then construct an estimator of entire variance function. We examine the rates of convergence of these estimators and give results on their asymptotics. Numerical work reveals that the effectiveness of change point analysis in variance function estimation is quite significant.

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NONPARAMETRIC ESTIMATION OF THE VARIANCE FUNCTION WITH A CHANGE POINT

  • Kang Kee-Hoon;Huh Jib
    • Journal of the Korean Statistical Society
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    • v.35 no.1
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    • pp.1-23
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    • 2006
  • In this paper we consider an estimation of the discontinuous variance function in nonparametric heteroscedastic random design regression model. We first propose estimators of the change point in the variance function and then construct an estimator of the entire variance function. We examine the rates of convergence of these estimators and give results for their asymptotics. Numerical work reveals that using the proposed change point analysis in the variance function estimation is quite effective.

Does the China-Korea Free Trade Area Promote the Green Total Factor Productivity of China's Manufacturing Industry?

  • Liu, Zuan-Kuo;Cao, Fei-Fei;Dennis, Bolayog
    • Journal of Korea Trade
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    • v.23 no.5
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    • pp.27-44
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    • 2019
  • Purpose - The purpose of this paper is to analyze the net effect of the green total factor productivity (GTFP) of China's manufacturing industry from the China-Korea Free Trade Area (China-Korea FTA) quantitatively. Design/methodology - Firstly, the Global Malmquist-Luenberger (GML) index based on the SBM directional distance function is used to measure the GTFP of China's manufacturing and analyze the driving force for its growth. Secondly, the regression discontinuity quantitative analysis is used to determine the impact of the China-Korea FTA on China's manufacturing GTFP. Findings - Our main findings can be summarized as follows: the China-Korea FTA has promoted the GTFP of China's manufacturing with an effect evaluation mainly resulting from green technology progress. And there is industry heterogeneity in the policy effect on the manufacturing GTFP due to the China-Korea FTA. Namely, policy promotion from the China-Korea FTA is more effective on the GTFP of equipment manufacturing than it is on those of other industries. Originality/value - First, an evaluation and analysis of the GTFP development of China's manufacturing that employs GML index based on SBM directional distance function. Second, a quantitative estimate of China-Korea FTA's net effect on China's manufacturing industrial GTFP that uses regression discontinuity analysis, which is considered to be the closest method to natural experiments and superior to other causal inference methods. Third, an in-depth discussion of the practical steps that China's manufacturing can take to improve GTFP development and integrate China-Korea FTA construction into economic development.

Effects of the 2007 Act on the Protection of Fixed-term and Part-time Employees on Employment Levels (2007년 비정규직법의 고용효과 분석)

  • Yoo, Gyeongjoon;Kang, Changhui
    • Journal of Labour Economics
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    • v.36 no.2
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    • pp.67-94
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    • 2013
  • Using data from the Economically Active Population Survey: Supplement by Employment Type, This paper examines the effects of the 2007 Act on the Protection of Fixed-term and Part-time Employees on employment levels. Since the Act is applied to only individuals below 55 years of age, we restrict the analysis sample to men whose ages are close to 55 at the time of the survey. For such a sample, the empirical analysis combines regression discontinuity design with a difference-in-differences. The results suggest that the employment effect of the 2007 Act takes a U-shape. The results suggest that the employment effect of the 2007 Act takes a U-shape. The negative effect of the Act was largest around August 2008, a year after it took effect. The negative effects on employment faded away toward August 2009.

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Empirical Research on the Causal Effect of Implementation of "With-COVID19" Policy on the Viewer Engagement of Online Fitness Contents (위드코로나 정책이 온라인 피트니스 콘텐츠의 시청자 참여도에 미치는 영향에 대한 실증 연구)

  • Byoung-Hyuk Ahn;Jiye Baek
    • Information Systems Review
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    • v.25 no.4
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    • pp.1-25
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    • 2023
  • The online fitness industry has experienced rapid growth in recent years, overcoming physical constraints of conventional fitness programs. The COVID-19 pandemic accelerated the trend as social distancing policies were implemented. However, as financial distress of offline gyms worsened, the Korean government implemented the "With-COVID19" policy, which lifted most of the restrictions and regulations on offline gyms, on November 1st, 2021, raising concerns about the loss of drivers for the growth of the online fitness industry. Using regression discontinuity design in time (RDDiT), this study investigates the causal effect of the "With-COVID19" policy on the viewer engagement of online fitness content. Contrary to expectations that viewer engagement would decrease, it increased by 21%. Additionally, subgroup analysis based on opportunity cost reveals heterogeneity, and the high-cost group experienced a greater increase of 32% compared to low-cost group. Based on these findings, the study provides possible mechanisms of the increase, theoretical contributions on using RDDiT in the Information Systems, and practical implications for guidelines on managing online fitness platforms and content in the era of digital transformation.