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This guide serves to assist MSc and PhD students in using Stata for empirical financial accounting research. Stata is a powerful program that can be used to analyze any research question in “empirical archival financial accounting” research.
While there are many statistical packages out there (e.g., SPSS, or even Excel), the major advantage of Stata is that it allows you to manage your data, compute key variables needed in empirical research (e.g., discretionary accruals), and easily merge large sets of data (e.g., combining financial statement data from Compustat with analyst forecast data from I/B/E/S). The purpose of this guide is to give students a head start in using Stata in empirical financial accounting research settings.