Published May 23, 2023 | Version v1

2023-JRFM-Accounting_Semi-Identity-Based_Models

  • 1. ROR icon Universidad Politécnica de Cartagena

Description

This dataset contains the same 2 files published in figshare.com but the data is in a more-opened format (csv separated with commas-decimals are points, for the data) to facilitate access. 

In the csv you can find the data, and in the txt you have the description of variables, which are the columns of the data file, and the lines of code for Sintax to run all analyses, both those included and those just mentioned, like for example, the robustness tests. 

Files

2023-JRFM-1.dta.csv

Files (2.5 MB)

Name Size
md5:1e90ef782f4aafbdeba0a53a12ea1423
2.5 MB Preview Download
md5:cbe265fff0ef7ac3080346a4805b0576
1.7 kB Preview Download

Additional details

Related works

Is supplement to
Journal article: 10.3390/jrfm16090389 (DOI)

References

  • Sánchez-Vidal, F. J. (2023). A Cautionary Note on the Use of Accounting Semi-Identity-Based Models. Journal of Risk and Financial Management, 16(9), 389.