Project Details

In this project, we have developed Stata codes for the measures of Financial Statement Comparability as defined by DeFranco, Kothari, and Verdi (2011). The authors first develop this measure and then test it empirically to find its determinants. They found that this measure is positively related to analyst following and forecast accuracy, and negatively related to analysts’ dispersion in earnings forecasts. These results suggest that financial statement comparability lowers the cost of acquiring information, and increases the overall quantity and quality of information available to analysts about the firm.

Our Stata Code

We have developed easy to use yet robust codes for the above steps. The codes need just a basic understanding of Stata. Further, our comments on each line of code will surely help you in running the code as well as in understanding the process more clearly. We normally share all Stata files, the raw data files, and Stata codes with comments. The purpose is to help researchers to learn and apply these codes on their own. We also try to answer questions that might arise at a later stage when the researcher applies these codes.


The code is available for $149 with some example data.

Contact us

For further details, please contact us at:

How the codes are shared?

Once the payment is received, we guarantee to share the codes and relevant files within 24 hours. You can expect to receive them promptly through email. Our efficient process ensures a smooth and timely delivery of the materials you need to begin your event study analysis.


De Franco, G., Kothari, S. P., & Verdi, R. S. (2011). The benefits of financial statement comparability. Journal of Accounting Research49(4), 895-931.