Independent Research and Policy Advocacy

India’s Most Recent Microfinance Crisis: Theory, Empirics & Learnings

In the paper, we lay out a theoretical frame for thinking about microfinance crises. The theoretical frame draws from Hyman Minsky’s 1977 work on financial instability, and layers over it a cultural reasoning that recognises overlending and overborrowing as cultural traits that sometimes takes hold of microfinance markets.

Understanding Low-Income Households from a Social Capital Perspective

The objective of this paper is to draw attention to those aspects of the lives of Low-Income Households (LIHs) that aren’t related to their income. In doing so, the paper characterises LIHs from a social capital perspective, highlighting the maintenance and strengthening of social capital as a deep-rooted cultural trait that is central to meaning-making in the lives of LIHs.

Summary of the RBI FREE AI Committee Report

In the first blog of this series of two, we break down (i) the Committee’s methodology, (ii) key insights on the current state of AI adoption, (iii) FREE AI Framework and (iv) its recommendations.

From Periodic to Perpetual – Rethinking the process of KYC

This blog is based on the recent uptake in conversations on the reformation of the know-your-customer (KYC) process in the financial sector. We find the periodicity of the current KYC system to be of concern for various reasons. The periodic updates of KYC present a burden on the customer to validate themselves every few years, failing which they are at risk of being excluded from the financial system.

Policy Research vs Academic Research

The two worlds of policy research and academic research (in economics) sometimes do intersect, but for the most part, they appear to me to be quite different arenas of inquiry, with different epistemologies and types of truth claims. This blog is about those differences as I see them, having worked in both domains.

Understanding CMIE-CPHS Data: A handbook

This document offers a guide to understanding and using CPHS data, focusing on its stratified multi-stage sampling design, weighting methodology, and operationalisation in statistical analysis.