S4 Ep33: Measuring upward mobility in developing countries
Aug 21, 2024
auto_awesome
Debraj Ray, an expert in economic mobility, and Garance Genicot, a researcher on upward mobility in developing countries, engage in a compelling discussion. They explore the complexities of measuring upward mobility in low-income nations, highlighting challenges like data scarcity and the informal economy. The conversation examines the Great Gatsby Curve, showing how income inequality impacts social mobility. They stress the importance of education in facilitating upward mobility and the critical need for nuanced policy-making that fosters shared prosperity.
Measuring upward mobility in developing countries is challenging due to a lack of longitudinal data and the informal nature of economies.
Despite lower educational levels, regions like India and sub-Saharan Africa experience particularly low rates of intergenerational educational mobility, revealing significant disparities.
Deep dives
Understanding Upward Mobility in Development
Upward mobility is emphasized as a critical element of economic development, as it encompasses relative improvements in the livelihoods of the poorest segments of the population. This concept differs from general movement, which can refer to geographical or occupational changes without social implications. The focus on upward mobility highlights the ethical dimension of economic growth, wherein the speed at which the poor improve their circumstances compared to the rich is vital. Therefore, upward mobility is not merely about anyone's progress, but about the relative growth of disadvantaged groups, making it a crucial gauge of social welfare.
Challenges in Measuring Mobility
Research on income mobility in developing countries faces substantial obstacles, particularly due to the lack of longitudinal data linking individuals’ earnings over time. This scarcity is compounded by the informal nature of many economies where income is not regularly reported, making it difficult to track financial progression accurately. Consequently, researchers often resort to using consumption data, which tends to provide a more stable indicator of living standards than inconsistent income measures. Despite these methodological challenges, innovative approaches such as the Genico Ray method demonstrate possibilities for making meaningful assessments without relying solely on panel data.
Insights into Educational and Income Mobility
Evidence suggests that educational mobility tends to be lower in developing countries compared to wealthier nations, highlighting disparities in opportunities for advancement. Reports indicate that despite lower educational levels offering potential for upward mobility, regions like India and sub-Saharan Africa struggle with particularly low rates of intergenerational educational mobility. Meanwhile, the relationship between income inequality and mobility reveals complex patterns, as higher inequality in some contexts corresponds to greater mobility, particularly in parts of Africa. This demonstrates that while overall economic growth is crucial, the distribution of that growth plays a significant role in determining societal progress and opportunities for the less fortunate.
We don’t know much about economic mobility in developing countries compared to
the wealthier, data-rich societies which have been the subjects of so much recent
research. What does the data tell us so far, and what is important to find out? Debraj
Ray and Garance Genicot tell Tim Phillips why measuring upward mobility in low-
and middle-income countries is both difficult and important, and what their research
is revealing about the impact of growth on that mobility.
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode