Peter M. Summers, "Credit Booms Gone Bust: Replication of Schularick and Taylor (AER 2012)", Journal of Applied Econometrics, Vol. 32, No. 5, 2017, pp. 1033-1038. This archive contains data and gretl script files that reproduce the results in tables 1-4 of the paper and table 1 in the appendix. The appendix and the file ST_replication.gdt are zipped in ps-binary.zip. The other three files are ASCII files in DOS format. They are zipped in the file ps-text.zip, and Unix/Linux users should use "unzip -a". The data are in 2 formats: comma-delimited (.csv) and native gretl format (.gdt). The data are identical to the Stata data set available on the AER website, with one exception. ST's .do file includes a section that deletes observations on "loans1" for France prior to 1895. I have manually created the series "loans2" with these observations set to missing. To use the scripts, follow these steps: 1) Download and install gretl from http://gretl.sourceforge.net/. Versions are available for Windows, Mac and Unix; follow the appropriate downloading instructions. 2) To compute the AUROC statistics, you will need to install the gretl function package "roc": 2a) Click on Tools\Function packages\On server... 2b) Scroll down the list to locate the "roc" package, or type the name in the search box, then click on the package. 2c) Click the "install" icon (2nd from left at the top). 3) Load and run the scripts: Click on Files\Script files\User file..., then browse to the directory where you extracted the zipped files. Select the script you wish to run, then click on the "run" icon (the gears) or type ctrl+r (or cmd+r) in the script window. Further documentation is at the top of each script. You are free to modify these scripts to suit your own needs; please cite the paper if you do. Comments and questions are welcome. Peter M. Summers Department of Economics High Point University psummers [AT] highpoint.edu 9/7/2016