Hello everyone,
I want to see the impact of a treatment, hence, using the propensity score matching method. However, I have missing data in my data set. I have imputed the data set. Now I am struggling with the integration of Propensity Score Matching using the imputed data as well. Please, I will be grateful if you could help me out. I am using STATA 13.0.
Array
Related Posts with Using Multiple Imputations in Propensity Score Matching
Negative scale value using fixed effects quantile regression xtqregI have individual-level panel wealth-at-age data with 4600 observations on 350 individuals. Because …
Comparing population and sample age and sex distributionHi all, I am not so sure if my logic for the code is right or wrong. I have to check if the age and…
Fleiss kappa coefficient and Kendall coefficientGood morning. How could you calculate Fleiss's Kappa coefficient and Kendall's correlation coefficie…
2SLS For BeginnersI am would love some help understanding how to run a 2SLS. I am replicating a table and first ran an…
Issue about xtpoisson with fixed effects and interpreting interaction effectHi Statalisters, When I use count data model to analyze my panel data with fixed effects, like -xtp…
Subscribe to:
Post Comments (Atom)
0 Response to Using Multiple Imputations in Propensity Score Matching
Post a Comment