What is it about?

This paper introduces a dataset gathered from female small business owners in Lima, Peru, examining how education, financial literacy, and financial inclusion influence their informal business practices and intentions to formalize. The dataset includes responses from 118 entrepreneurs, with detailed measures on financial behaviors, legal registration, and levels of informality. It offers a valuable tool for understanding how small vendors navigate the informal economy and how these insights can guide formalization efforts in developing countries.

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Why is it important?

This dataset is a crucial resource for researchers and policymakers addressing informality in developing economies. By providing granular data on the factors influencing female entrepreneurs' financial decisions, it enables comparative studies across regions and industries. The survey design and methodology are adaptable, making the dataset useful for exploring informal business practices in various national contexts. This resource empowers stakeholders to design more effective policies and programs to promote financial literacy, inclusion, and business formalization.

Perspectives

This dataset reflects the untold stories of women entrepreneurs in the informal economy, offering a rich source of information for researchers and policymakers alike. As an author, I see this as a step toward bridging the gap between theory and practical policymaking in developing countries. The adaptability of the survey methodology makes it a versatile tool for studying informal economies globally. I hope this dataset inspires deeper research and targeted interventions to support women in transitioning from informality to sustainable formal businesses.

Professor Luis Demetrio Gomez Garcia
Pontificia Universidad Catolica del Peru

Read the Original

This page is a summary of: Dataset on Financial Literacy, Financial Inclusion, Informal Financial Business Practices, and Intentions towards Formalization of Female Small Vendors in Lima, Peru, Research Data Journal for the Humanities and Social Sciences, September 2024, Brill,
DOI: 10.1163/24523666-bja10045.
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