Synthetic Survey Data on Youth Entrepreneurship and Digital Finance in India

Presenting a synthetic, anonymized version of survey data collected for a study on digital financial literacy and capital access among youth and early-stage entrepreneurs in India. It reflects the structure and statistical properties of the original survey but contains no actual respondent-level information. The dataset is accompanied by the original survey questionnaire.

Use Cases

• Analyze the relationship between Digital financial literacy and Access to capital metrics within the synthetic survey structure.
• Examine patterns of Fin Tech Adoption and Behavioral biases among the synthetic youth entrepreneur profiles.
• Use the provided survey questionnaire to understand variable definitions for methodological reproducibility of the study's analysis.

Strengths

• Synthetic data generation ensures participant confidentiality while supporting methodological transparency.
• Dataset is accompanied by the original survey questionnaire, providing clear variable definitions.
• Focuses on the specific demographic of Youth entrepreneurship and Early-stage startups in India.

Limitations

• Data is synthetic and does not contain actual respondent-level information, limiting direct analysis of real-world behaviors.
• Qualitative interview data from the original study are excluded, restricting the depth of contextual analysis.
• The dataset's size, row count, and specific column structure are not provided in the input.

Provenance

Source

Harvard Dataverse, accompanying a working paper by Shruti Gupte.

Collection Method

Synthetic dataset generated from an original survey to reflect its structure and statistical properties.

Freshness

Last updated on 2026-02-11.

Geography

India