Like all national poverty rates, India’s poverty rate is interpreted as the share of the population that is poor in a given year. In this post written for Ideas for India, Joshua Merfeld and Jonathan Morduch argue that, in practice, India’s poverty rate is better thought of as the approximate fraction of the year that households experience poverty. They describe how this is rooted in the nature of data collection, and how it changes understandings of poverty and policy in the country.
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Editor's Note:
If you were hoping that the faiV would be a pleasant distraction from the overwhelming flow of AI-related content, sorry. For the record, the faiV had “ai” built in before Anthropic existed. And a housekeeping note: we’ve finally jumped ship from Mailchimp to NYU’s mailing platform—I guess if you’re reading this it’s been a seamless transition and if you’re not, well, you’re not. Feedback on the faiV’s content and format and delivery methods is always welcome, just drop me an email.
- Tim Ogden
Editors’ Note: Hi, Laura and Jonathan here. A few of the pieces this week come from people who spent years up close with how poor households actually handle money, and keep coming back with something more tangled than the story usually told, and more persistent. Tim will be back for the next edition. - Laura Freschi and Jonathan Morduch
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Ten years ago, FAI managing director Tim Ogden published Experimental Conversations, a collection of interviews with economists and other people who critique, promote, and use randomized controlled trials (RCTs) in development economics. One of the interviewees was Michael Kremer, a pioneer of the movement, now a Nobel laureate, and recently appointed Chief Economist of the World Bank.