Pedro H.C. Sant'Anna, Xiaojun Song, and Qi Xu, "Covariate Distribution
Balance via Propensity Scores", Journal of Applied Econometrics,
Vol. 37, No. 6, 2022, pp. 1093-1120.

All files are stored in the file ssx-files.zip. They are a mix of
ASCII and binary files.

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Our empirical application builds on Benjamin (2003), Abadie (2003), and 
Chernozhukov and Hansen (2004). We assess the causal effect of 401(k) 
eligibility and participation on different measures of wealth. We use 
1991 Survey of Income and Program Participation (SIPP) data, exactly as 
in Benjamin (2003), and Chernozhukov and Hansen (2004). The folder 
"Application/401/data" contains the data in Stata, R, and dat format.

All codes to replicate the results of our empirical application are
available in the Applications/401k folder. The run-all.R file will run
all codes and produce all the results. The generated plots are saved
in the Applications/401k/plots folder.

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All files to replicate our Monte Carlo results are available in the
Simulations folder. The R file run-all-simulations.R source all
scripts.

The folder "Codes" contain auxiliary functions used to replicate all
our results.

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References:

Abadie, A. (2003), "Semiparametric instrumental variable estimation of
treatment response models," Journal of Econometrics, 113, 231-263.

Benjamin, D. J. (2003), "Does 401(k) eligibility increase saving?
Evidence from propensity score subclassification," Journal of Public
Economics, 87(5-6), 1259-1290.

Chernozhukov, V., and Hansen, C. (2004), "The impact of 401(k)
participation on the wealth distribution: an instrumental quantile
regression analysis," The Review of Economics and Statistics, 86(3),
735-751.