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Estimating Incumbency Effects Using Regression Discontinuity Design
Research & Politics, 2018 In recent years, research on the incumbency effect using a regression discontinuity design has flourished. Although the regression discontinuity design has allowed scholars to examine the incumbency effect in various electoral settings, previous studies ...
B. K. Song
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Impact of major events on housing prices in Hangzhou based on regression discontinuity
International Journal of Strategic Property Management, 2022 Based on the regression discontinuity method, housing transaction price data of Hangzhou at the community level were used to assess the impacts of a serious of major events on housing prices in Hangzhou.
Ling Zhang, Lifei Zhu, Linzun Yang
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Optimal inference in a class of regression models [PDF]
, 2016 We consider the problem of constructing confidence intervals (CIs) for a linear functional of a regression function, such as its value at a point, the regression discontinuity parameter, or a regression coefficient in a linear or partly linear regression.
Armstrong, Timothy B., Kolesár, Michal
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Regression Discontinuity Designs as Local Randomized Experiments
, 2021 :In the seminal paper from 1960, Thistlethwaite and Campbell (1960) introduce the key ideas underlying regression discontinuity (RD) designs, which, even if initially almost completely ignored, have then acted as a fuse of a blowing number of studies ...
Alessandra Mattei, F. Mealli
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Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach
Social Science Research Network, 2022 Cartels participating in procurement auctions frequently use bid rotation or prioritize incumbents to allocate contracts. However, establishing a link between observed allocation patterns and firm conduct has been difficult: there are cost-based ...
Keiichi Kawai +3 more
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Local Composite Quantile Regression for Regression Discontinuity [PDF]
Journal of Business & Economic Statistics, 2021 We introduce the local composite quantile regression (LCQR) to causal inference in regression discontinuity (RD) designs. Kai et al. (2010) study the efficiency property of LCQR, while we show that its nice boundary performance translates to accurate estimation of treatment effects in RD under a variety of data generating processes.
Huang, Xiao, Zhan, Zhaoguo
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Using the Chow Test to Analyze Regression Discontinuities [PDF]
Tutorials in Quantitative Methods for Psychology, 2008 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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The Effect of Nonlocal Vehicle Restriction Policy on Air Quality in Shanghai
Atmosphere, 2018 In recent years, road space rationing policies have been increasingly applied as a traffic management solution to tackle congestion and traffic emission problems in big cities.
Junjie Li +3 more
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Understanding Regression Discontinuity Designs As Observational Studies
, 2021 Thistlethwaite and Campbell (1960) proposed to use a “regression-discontinuity analysis” in settings where exposure to a treatment or intervention is determined by an observable score and a fixed cutoff.
J. Sekhon, R. Titiunik
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Impact of Firearm Surveillance on Gun Control Policy: Regression Discontinuity Analysis
JMIR Public Health and Surveillance, 2021 BackgroundPublic mass shootings are a significant public health problem that require ongoing systematic surveillance to test and inform policies that combat gun injuries.
Post, Lori +10 more
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