Using propensity score matching to estimate treatment effects of afterschool programs on third-grade reading outcomes

2018 ◽  
Vol 47 (1) ◽  
pp. 117-134
Author(s):  
Scott K. Baker ◽  
Akihito Kamata ◽  
Annie Wright ◽  
Dylan Farmer ◽  
Regina Nippert
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Treatment Effects ◽  
Third Grade ◽  
Afterschool Programs ◽  
Reading Outcomes ◽  
Third Grade Reading

scholarly journals Estimating Treatment Effects of Unit-Based Pricing of Household Solid Waste Disposal

2018 ◽  
Vol 48 (1) ◽  
pp. 21-43
Author(s):  
Christopher Wright ◽  
John M. Halstead ◽  
Ju-Chin Huang
Keyword(s):  
Propensity Score ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Propensity Score Matching ◽  
Waste Disposal ◽  
Treatment Effect ◽  
Treatment Effects ◽  
Average Treatment Effect ◽  
Solid Waste Disposal ◽  
Annual Reduction

Propensity score matching is used to estimate treatment effects when data are observational. Results presented in this study demonstrate the use of propensity score matching to evaluate the average treatment effect of unit-based pricing of household trash for reducing municipal solid waste disposal. Average treatment effect of the treated for 34 New Hampshire communities range from an annual reduction of 631 pounds per household to 823 pounds per household. This represents an annual reduction of 42 percent to 54 percent from an average of 1530 pounds per household if a town did not adopt municipal solid waste user fees.

scholarly journals Motivational interviewing with at-risk youth (MARS) mentoring program: a targeted behavioral intervention for students in alternative settings

2019 ◽  
Author(s):  
◽  
Lauren Henry
Keyword(s):  
At Risk ◽  
Propensity Score ◽  
Alternative Education ◽  
Motivational Interviewing ◽  
Propensity Score Matching ◽  
Self Efficacy ◽  
Treatment Effects ◽  
Mentoring Program ◽  
Social Emotional ◽  
Alternative Settings

The purpose this study was to examine the treatment effects of a research-based intervention for students in alternative education: The Motivational Interviewing with At-Risk Students (MARS) Mentoring Program. Specifically, treatment effects were expected to in social, emotional, behavioral, and academic performances. MARS Mentoring is a unique program founded in self efficacy strategies, specifically Motivational Interviewing paired with behavioral modification practices. The 10-week intervention was delivered school-wide to 48 students (grades K-12). Two behavioral alternative schools also participated in data collection, serving as non-intervention schools for comparison. Outcome measures included school disciplinary actions for students (out of school suspension, office discipline referrals, and minor classroom referrals), academic performance (Math and English grade means), student self-efficacy, and targeted protective factors for students in alternative settings (using the Alternative Education Tier-3 Assessment). Two sets of analyses are presented. First, unmanipulated data from one school receiving intervention and two non-intervention schools were evaluated using simple means comparisons. In addition, to control for potential sample bias, propensity score matching methods were employed using a nearest neighbor matching algorithm. Students receiving the MARS intervention demonstrated significant improvements in social, emotional, and behavioral outcomes by establishing consistent improvements across all data analytic methods. Preliminary results indicated significant academic improvements for students enrolled in MARS Mentoring, however the model did not support significance after propensity score matching. Further implication for practice and direction for future research based on the findings are discussed.

scholarly journals Estimation of Average Treatment Effects Based on Propensity Scores

2002 ◽  
Vol 2 (4) ◽  
pp. 358-377 ◽  
Author(s):  
Sascha O. Becker ◽  
Andrea Ichino
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Labor Economics ◽  
Treatment Effects ◽  
Propensity Scores ◽  
Short Overview ◽  
Average Treatment ◽  
Matching Estimators ◽  
Average Treatment Effects ◽  
Supported Work

In this paper, we give a short overview of some propensity score matching estimators suggested in the evaluation literature, and we provide a set of Stata programs, which we illustrate using the National Supported Work (NSW) demonstration widely known in labor economics.

scholarly journals Estimation of the Treatment Effects of Ownership on the Indirect Financing of Small- and Medium-Sized Enterprises

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Xiuzhen Wang ◽  
Yi Hu ◽  
Xiaohua Xia ◽  
Ying Deng
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Treatment Effects ◽  
Driving Forces ◽  
Private Enterprises ◽  
Chinese Government ◽  
Subprime Crisis ◽  
Indirect Financing ◽  
Long Time ◽  
China’S Economy

Small- and medium-sized enterprises (SMEs) are the important driving forces for the growth of China’s economy. However, financing difficulty has always been the important problem besetting the development of SMEs for a long time. In particular, in recent years, US subprime crisis in 2008 caused a heavy blow to the development of some externally oriented SMEs. Thus, how to effectively overcome financing predicament for the SMEs is crucial for Chinese government. In this paper, based on microdata from China Industrial Enterprise Database, propensity score matching (PSM) method is adopted to conduct empirical analysis about the treatment effects of indirect financing level of SMEs under different systems. Empirical results reveal that state-owned enterprises enjoy indirect financing advantages compared with other enterprises and there is certain ownership discrimination against foreign-funded enterprises and private enterprises. In particular, the indirect financing rate of state-owned enterprises is 1.4% higher than that of other enterprises, and the indirect financing rate of foreign-funded enterprises is 6% lower than that of other enterprises; private enterprises are advantageous in indirect financing compared with other enterprises; however, indirect financing rate of private enterprises is 1.8% lower than that of state-owned enterprises, which also reveals ownership discrimination to certain extent.

scholarly journals The use of propensity score-matching methods in evaluation of active labour market programs in Serbia

2007 ◽  
Vol 52 (172) ◽  
pp. 21-53
Author(s):  
Kosovka Ognjenovic
Keyword(s):  
Propensity Score ◽  
Labour Market ◽  
Propensity Score Matching ◽  
Treatment Effects ◽  
Matching Method ◽  
Estimation Process ◽  
Average Treatment ◽  
Active Labour ◽  
Average Treatment Effects ◽  
Active Labour Market Programmes

The aim of the paper is to evaluate impacts of active labour market measures in Serbia on the probability of the participants? employment. In the estimation process of average treatment effects, propensity score-matching method was applied. Its use has considerably reduced the bias in evaluation of the average treatment effects, induced by systematic differences between samples of those who participated in the active labour market programmes and those who did not. The estimated impacts of active labour market programmes on the probability of employment were found to be both positive and statistically significant. .

scholarly journals Association between Religion and Health in China: Using Propensity Score Matching Method

Religions ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 37 ◽  
Author(s):  
Jing Hua Zhang ◽  
Haomin Zhang ◽  
Chengkun Liu ◽  
Xiaoyang Jiang ◽  
Hongmin Zhang ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Treatment Effects ◽  
Religious Attendance ◽  
Religion And Health ◽  
Life Study ◽  
Percentage Points ◽  
Observatory Data ◽  
Final Sample ◽  
Self Reported Health Status

The association between religion and health is well debated and receives continuous attention in research. Selection bias is often a major concern among the observatory data routinely used worldwide to examine this topic. Adopting the propensity score matching (PSM) method, the present study tries to assess the treatment effects of religion on self-reported health status. The final sample from the 2007 Spiritual Life Study of Chinese Residents (SLSC) contains 6194 valid responses. The average treatment effects (ATEs) estimated by the PSM method show that respondents with religious affiliations are on average significantly more likely to report being very healthy by 5.2 percentage points (by 3.6 and 9.6 percentage points among Buddhists and Protestants), especially, by 16.2 percentage points among those regarding religion as being very important in their lives. Meanwhile, ATEs of religion on reporting being very happy is 17.0 among Protestants and 13.4 among those regarding religion with high importance and 11.3 among those with “regular religious attendance”.

Interval estimation for treatment effects using propensity score matching

2006 ◽  
Vol 25 (13) ◽  
pp. 2230-2256 ◽  
Author(s):  
Jennifer Hill ◽  
Jerome P. Reiter
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Treatment Effects ◽  
Interval Estimation
Sign in / Sign up

Export Citation Format

Share Document