1h 27 min

The Science of Economic Opportunity: New Insights from Big Data with Raj Chetty UC Berkeley Graduate Council Lectures (Audio)

    • Educación

Children’s chances of earning more than their parents have fallen from 90% to 50% over the past half century in America. How can we restore the American Dream of upward mobility for all children? In this talk, Raj Chetty, director of Opportunity Insights and professor of public economics at Harvard University, shows how big data from varied sources ranging from anonymized tax records to Facebook social network data is helping us uncover the science of economic opportunity. Among other topics, Chetty discusses how and why children’s chances of climbing the income ladder vary across neighborhoods, the drivers of racial disparities in economic mobility, and the role of social capital as a driver of upward mobility. He presents data on the state of economic opportunity in California in particular to provide a local context to these national patterns. Series: "UC Berkeley Graduate Lectures" [Public Affairs] [Business] [Show ID: 39238]

Children’s chances of earning more than their parents have fallen from 90% to 50% over the past half century in America. How can we restore the American Dream of upward mobility for all children? In this talk, Raj Chetty, director of Opportunity Insights and professor of public economics at Harvard University, shows how big data from varied sources ranging from anonymized tax records to Facebook social network data is helping us uncover the science of economic opportunity. Among other topics, Chetty discusses how and why children’s chances of climbing the income ladder vary across neighborhoods, the drivers of racial disparities in economic mobility, and the role of social capital as a driver of upward mobility. He presents data on the state of economic opportunity in California in particular to provide a local context to these national patterns. Series: "UC Berkeley Graduate Lectures" [Public Affairs] [Business] [Show ID: 39238]

1h 27 min

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