The Becker Friedman Institute for Economics (BFI) serves as a hub for cutting-edge analysis and research across the entire University of Chicago economics community, uniting researchers from the Booth School of Business, the Kenneth C. Griffin Department of Economics, the...
Inspired by our namesakes, Nobel Laureates Gary Becker and Milton Friedman, who believed that economics research could help improve the world, BFI works with the Chicago Economics community to turn its evidence-based research into real-world impact.
The Predoctoral Research in Economics Program (PREP) is intended to serve as a bridge between college and graduate school for students interested in empirical economics. The program offers unique research and professional training opportunities at the University of Chicago.
Expanding Discovery in Economics+ (EDE+) brings together a diverse group of early undergraduate students to hone their research abilities and technical skills.
Ingvil Gaarder, Lancelot Henry de Frahan, Magne Mogstad, Alexander Torgovitsky, and Oscar Volpe
We revisit the classic identification problem of separating supply and demand for a homogeneous good using data from multiple markets. We allow markets to be heterogeneous according to unobservables, a feature that arises if there are unobservable differences in consumer...
Evaluating optimized AI systems for asset pricing is fundamentally difficult for two reasons. First, models are trained on all data, implying that any backtest or analysis using historical data suffers from look-ahead bias. In addition, markets are reflexive — as...
Yu-Hsin Ho, Chang-Tai Hsieh, Wen-Tai Hsu, and Yu-Jhih Luo
We study how residential-commercial zoning affects the allocation of urban space. Using property level data from Taipei and 34 U.S. metropolitan areas, we infer neighborhood-level zoning wedges from the allocation of residents, workers, and floor space. We find substantially greater...
Captivating and informative videos on the latest insights and trends as well as the tested stock of knowledge in economics from leaders in academia, policy, business, and the media.
Information manipulation is a powerful tool in the hands of any authoritarian leader. Dictators block independent media, censor news, pay influencers, and control citizens’ social connections. In our model, citizens acquire information from censored sources or through social networks. Naturally, information manipulation has less impact when consuming news is costly and percolation in the network is low. Less intuitively, it might be optimal for the regime to target peripheral, rather than centrally connected citizens, and the propaganda’s maximum impact is when percolation of information is close to zero (the society is atomized) or close to one, but not inbetween.
The Becker Friedman Institute for Economics (BFI) serves as a hub for cutting-edge analysis and research across the entire University of Chicago economics community, uniting researchers from the Booth School of Business, the Kenneth C. Griffin Department of Economics, the...
Inspired by our namesakes, Nobel Laureates Gary Becker and Milton Friedman, who believed that economics research could help improve the world, BFI works with the Chicago Economics community to turn its evidence-based research into real-world impact.
The Predoctoral Research in Economics Program (PREP) is intended to serve as a bridge between college and graduate school for students interested in empirical economics. The program offers unique research and professional training opportunities at the University of Chicago.
Expanding Discovery in Economics+ (EDE+) brings together a diverse group of early undergraduate students to hone their research abilities and technical skills.
Ingvil Gaarder, Lancelot Henry de Frahan, Magne Mogstad, Alexander Torgovitsky, and Oscar Volpe
We revisit the classic identification problem of separating supply and demand for a homogeneous good using data from multiple markets. We allow markets to be heterogeneous according to unobservables, a feature that arises if there are unobservable differences in consumer...
Evaluating optimized AI systems for asset pricing is fundamentally difficult for two reasons. First, models are trained on all data, implying that any backtest or analysis using historical data suffers from look-ahead bias. In addition, markets are reflexive — as...
Yu-Hsin Ho, Chang-Tai Hsieh, Wen-Tai Hsu, and Yu-Jhih Luo
We study how residential-commercial zoning affects the allocation of urban space. Using property level data from Taipei and 34 U.S. metropolitan areas, we infer neighborhood-level zoning wedges from the allocation of residents, workers, and floor space. We find substantially greater...
Captivating and informative videos on the latest insights and trends as well as the tested stock of knowledge in economics from leaders in academia, policy, business, and the media.
