2016
DOI: 10.3982/ecta11293
|View full text |Cite
|
Sign up to set email alerts
|

Matching on the Estimated Propensity Score

Abstract: Propensity score matching estimators (Rosenbaum and Rubin (1983)) are widely used in evaluation research to estimate average treatment effects. In this article, we derive the large sample distribution of propensity score matching estimators. Our derivations take into account that the propensity score is itself estimated in a first step, prior to matching. We prove that first step estimation of the propensity score affects the large sample distribution of propensity score matching estimators, and derive adjustm… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
253
1
1

Year Published

2016
2016
2024
2024

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 574 publications
(286 citation statements)
references
References 42 publications
1
253
1
1
Order By: Relevance
“…The advantage of this command is that it takes into account the fact that propensity scores are estimated rather than known when calculating standard errors. See Abadie and Imbens (2016) for a formal discussion on the application of estimated propensity scores.…”
Section: Discussionmentioning
confidence: 99%
“…The advantage of this command is that it takes into account the fact that propensity scores are estimated rather than known when calculating standard errors. See Abadie and Imbens (2016) for a formal discussion on the application of estimated propensity scores.…”
Section: Discussionmentioning
confidence: 99%
“…The differences are statistically significant. Depending on the year and Standard errors in parenthesis according to Abadie and Imbens (2009 control group we analyze, the results indicate a probability of between 29 and 51 percentage points higher for the SEP participants to be in regular employment or education. The greatest effect we can observe is among the unemployed with compulsory schooling as the highest level of education.…”
Section: Impact By Educational Backgroundmentioning
confidence: 99%
“…Abadie and Imbens (2012) show that the large sample variance of √ N(τ M,p − τ) using the estimated propensity score is…”
Section: A Regression Estimatormentioning
confidence: 98%