Project Layline is a research initiative that aims to leverage high performance and cloud computing to create publicly accessible datasets for research in financial economics. It lowers barriers to entry by democratizing access to data and also brings increased transparency to the field by facilitating replication studies.
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panel_dataset.do
May 2, 2023 - Layline insider trading dataset
Stata Syntax - 8.9 KB - MD5: 9baa1616711d153c7abcaa9340afb1e7
Code
STATA code for creating panel dataset
panel_dataset.py
May 2, 2023 - Layline insider trading dataset
Python Source Code - 19.0 KB - MD5: 670819266575828376fc9c19ce123d0a
Code
Python code for creating panel dataset
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