Fintech Demand and Economic Resilience During COVID-19 Pandemic

This dataset supports research on the relationship between financial technology (fintech) demand and national economic resilience during the COVID-19 pandemic. It includes Google search volumes for fintech-related phrases and derived economic resilience measures for countries worldwide. The analysis examines associations between pre-pandemic fintech development and GDP growth and unemployment rates during the crisis.

Use Cases

• Analyze the correlation between Google search volumes for fintech phrases and GDP growth rates across countries during the pandemic.
• Model the relationship between pre-COVID fintech development levels and unemployment rate changes using country-level data.
• Examine variations in fintech demand surges, measured by search volume, between developing and developed nations.
• Utilize the constructed economic resilience measure to assess the speed and strength of national economic recovery from the pandemic shock.

Strengths

• Data supports a peer-reviewed research paper with a global country-level scope.
• Includes a constructed composite measure for economic resilience capturing both speed and strength of recovery.
• Analysis links specific fintech demand metrics to macroeconomic outcomes like GDP and unemployment.

Limitations

• The specific dataset structure, including row count, column names, and file formats, is not detailed in the provided input.
• Data is tied to the COVID-19 pandemic period, limiting temporal generalizability to other crises.
• Relies on Google search volume as a proxy for fintech demand, which may not capture actual service usage.

Provenance

Source

ICPSR Harvested Dataverse

Collection Method

Created to replicate results from the academic paper 'Financial technologies and economic resilience from COVID-19'; likely involves compilation of public macroeconomic indicators and Google Trends data.

Time Range

Covers the period of the COVID-19 pandemic.

Freshness

Last updated metadata indicates 2026-02-23, but the underlying data covers the COVID-19 pandemic period.

Geography

Worldwide country-level data.