Replication Data for Open Banking's Effects on FinTech Firm Dynamics and Funding

Replication package for a study on the effects of open banking on FinTech firms, accepted for publication in the Journal of Financial and Quantitative Analysis in 2026. The package includes Stata program files and fully anonymized pseudo-datasets that reproduce the structure and variable names of the original confidential data. These pseudo-datasets contain a sufficient number of observations for all programs to execute and illustrate data organization.

Use Cases

• Replicate econometric analyses of FinTech firm dynamics based on the described pseudo-datasets.
• Study the methodological approach to analyzing funding structures under open banking regulations.
• Examine the structure of anonymized firm-level data used in financial research.
• Test and adapt the provided Stata code for related research on financial technology.

Strengths

• Includes fully anonymized pseudo-datasets with a similar number of observations to the original confidential data.
• Provides all Stata program files necessary for replication, ensuring methodological transparency.
• Data structure and variable names are reproduced to match the original analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The raw data are subject to confidentiality restrictions; only anonymized pseudo-data are available.

Provenance

Source

JFQA Dataverse, associated with the Journal of Financial and Quantitative Analysis.

Collection Method

Created as a replication package for an academic paper; pseudo-data are generated to mirror confidential original data.

Freshness

Last updated 2026-07-08 18:11:44; freshness should be verified.