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1 de dic. de 2014 · Using propensity scores in difference-in-differences models to estimate the effects of a policy change Elizabeth A. Stuart , Haiden A. Huskamp , Kenneth Duckworth , Jeffrey Simmons , Zirui Song , Michael Chernew , and Colleen L. Barry
7 de ago. de 2014 · Zirui Song, Michael E. Chernew & Colleen L. Barry. 14k Accesses. 307 Citations. 36 Altmetric. 1 Mention. Explore all metrics. Abstract. Difference-in-difference (DD) methods are a common strategy for evaluating the effects of policies or programs that are instituted at a particular point in time, such as the implementation of a new law.
1 de jun. de 2019 · The propensity score, which is defined as the conditional probability of receiving treatment given covariates, is one of the most widely used tools for causal inference.
7 de jun. de 2022 · Pedro H. C. Sant'Anna, Xiaojun Song, Qi Xu. First published: 07 June 2022. https://doi.org/10.1002/jae.2909. Citations: 2. Read the full text. Tools. Share. Summary. This paper proposes new estimators for the propensity score that aim to maximize the covariate distribution balance among different treatment groups.
Using propensity score matching analysis to compare between cardiometabolic risk factors and physical activity type in Korean adults: findings from a nationwide population-based survey Min-Hyo Kim , # 1 Ji-Won Lee , # 1, 2 John A. Linton , 1, 3 Yaeji Lee , 4 and Youhyun Song 5
1 de nov. de 2016 · Xiaojun Song. Peking University - Guanghua School of Management. Date Written: February 7, 2019. Abstract. This paper proposes new nonparametric diagnostic tools to assess the asymptotic validity of different treatment effects estimators that rely on the correct specification of the propensity score.
1 de jul. de 1983 · Effect of Male Size on Calling Propensity, Song Parameters, and Mating Success in Caribbean Fruit Flies, Anastrepha suspensa (Loew) (Diptera: Tephritidae)1 | Annals of the Entomological Society of America | Oxford Academic. Journal Article.
