Replication Code for Careers in Finance Study

Replication code for a study analyzing careers in finance using data from a major professional networking platform. The underlying data is confidential and not included, but the source code for reproducing the analysis is shared. The code was authored by Andrew Ellul and last updated in June 2026.

Use Cases

• Replicate labor market analyses based on the described professional networking data.
• Study career progression patterns in the finance sector using the provided code framework.
• Adapt the econometric methodology for similar studies on other professional industries.

Strengths

• Source code is provided to ensure full reproducibility of the described study.
• The underlying data is sourced from a major online professional networking platform, suggesting a large-scale sample.

Limitations

• The core dataset is confidential and not available for download.
• Row count, column definitions, and data structure are unknown.
• Description metadata is limited; actual data quality requires manual inspection after downloading the code.

Provenance

Source

Harvard Dataverse

Collection Method

Data likely originates from a major online professional networking platform, as mentioned in the description.

Freshness

Last updated 2026-06-12 11:34:56