The National Tax Journal encourages authors of empirical papers to provide data and analysis sufficient for replication. Upon acceptance, authors should post the following on NTJ’s Dataverse: - Code and programs that can be used for replication, - Dataset(s) used to run the final models, and - “Readme” files detailing how data and programs are combined to generate the final analysis. Such files should include a description of how intermediate data files were used to create the final dataset. Authors who choose to post replication files for NTJ accepted papers are strongly encouraged to do so prior to submitting final files to the journal office for publication so that the link to the data can be included in the published paper. In that case, the following line (with unique identifier information) should be included at the end of the paper’s acknowledgment note: Data are provided through Dataverse at https://doi.org/XX.XXXX/XXX/XXXXXX
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Tabular Data - 89.6 KB - 5 Variables, 1992 Observations - UNF:6:+WKRYMcQivLCKRcrELoqqg==
Tabular Data - 84.7 KB - 7 Variables, 1140 Observations - UNF:6:YU5v1vgGx86Ku6Cpt3OQDw==
Tabular Data - 93.2 KB - 8 Variables, 1140 Observations - UNF:6:wXyTqwDx+vZGU9nH8cpguA==
Tabular Data - 6.6 KB - 12 Variables, 52 Observations - UNF:6:1eNklojNyP14+pIMzCB9Hw==
Jun 17, 2025
Splinter, David; Heiser, Eric; Love, Michael; Mortenson, Jacob, 2025, "Replication Code for The Paycheck Protection Program: Progressivity and Tax Effects", https://doi.org/10.7910/DVN/KK7ESS, Harvard Dataverse, V1, UNF:6:yvlNhrR7GNcBEX8GZGwOMw== [fileUNF]
Replication code for “The Paycheck Protection Program: Progressivity and Tax Effects.” IRS tax data is confidential and cannot be posted.
Plain Text - 36.9 KB - MD5: c4df4283dd1164cebadea59e46454fb2
Stata Syntax - 1.4 KB - MD5: 023251d7a74ea5b6a2cca3b1c5ff6b17
Plain Text - 18.9 KB - MD5: 366dd9aae9b32ec471ceeb83b7470502
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