New Insights from Big Data into Inequality and Risk
SpeakerFatih Guvenen (University of Minnesota)
June 11, 2019 until June 13, 2019
This mini-course will review the growing body of empirical research that draws new insights from Big Data about economic inequality and micro risks. It will cover new methods that can harness the power of Big Data. We will discuss different types of inequality (in annual versus lifetime incomes; at the top versus elsewhere, between versus within: firms, regions, genders, etc.; inequality in wealth, health, and others), why they each matter, what we know about them, and how they have changed over time. We will discuss various types of micro risks (facing households, workers, or firms), how they vary across the population, their non-Gaussian nature, how these risks vary over the business cycle and over long horizons. We will discuss the new insights into these questions provided by research from Big Data.
TI MPhil and PhD students register via OSIRIS. Other participants, please email firstname.lastname@example.org, and include a vitae and a short letter in which you motivate your participation.
The registration code for the Lectures is: TI185.
Deadline for registration: May 15, 2019.
Maximum number of participants: 50.
Registration fee is €400 for PhD students and €600 for other participants.
For more information please contact Ms. Carine Horbach at email@example.com.