pstest
Specification Tests for Parametric Propensity Score Models
The propensity score is one of the most widely used tools in studying the causal effect of a treatment, intervention, or policy. Given that the propensity score is usually unknown, it has to be estimated, implying that the reliability of many treatment effect estimators depends on the correct specification of the (parametric) propensity score. This package implements the data-driven nonparametric diagnostic tools for detecting propensity score misspecification proposed by Sant'Anna and Song (2019) doi:10.1016/j.jeconom.2019.02.002.
- Version0.1.3.900
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release08/26/2019
Documentation
Team
Pedro H. C. Sant'Anna
Xiaojun Song
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Last 30 days
This package has been downloaded 137 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 1,701 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 29 downloads.
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Dependencies
- Imports2 packages