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Dissertation 4.4

Epidemiology and Data Quality And Bias among Microfinance Institutions — A Comparative Perspective

23
Pages
Chicago
Style
~ 24–36 mins
Reading Time
NLP Epidemiology FinTech
Abstract

This dissertation investigates “Epidemiology and Data Quality And Bias among Microfinance Institutions — A Comparative Perspective” using a event study methodology. Through a institutional lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Epidemiology and Data Quality And Bias among Microfinance Institutions — A Comparative Perspective

ABSTRACT
Epidemiology and Data Quality And Bias among Microfinance Institutions — A Comparative Perspective is unpacked across themes: governance, security, usability, and scalability. Limitations and future research paths are noted.
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