Charles Angelucci · Massachusetts Institute of Technology · PhdFit
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Charles Angelucci
· Class of 1957 Career Development Assistant Professor
Massachusetts Institute of Technology · Applied Economics
Charles Angelucci is the Class of 1957 Career Development Assistant Professor and an Assistant Professor of Applied Economics at the MIT Sloan School of Management. He completed his PhD at the Toulouse School of Economics. His research focuses on Organizational Economics and Political Economy, with particular interest in governance issues and news media markets. Prior to his current position, he was an Assistant Professor of Economics at Columbia Business School from 2015 to 2020, where he taught an MBA elective course on Competitive Strategy. His work explores topics such as media competition, political news, voter information, and the impact of socioeconomic factors on news perception, contributing to understanding how information and governance influence economic and political behavior.
To investigate general patterns in news information in the U.S., we combine a protocol for identifying major political news stories, 11 monthly surveys with 15,000 participants, and a model of news discernment. When confronted with a true and a fake news story, 47% of subjects confidently choose the true story, 3% confidently choose the fake story, and the remaining half are uncertain. Socioeconomic differences are associated with large variations in the probability of selecting the true news story. Partisan congruence between an individual and a news story matters too, but its impact is up to an order of magnitude smaller.
American Economic Review · 2024-03-28 · 33 citations
articleOpen access1st authorCorresponding
To investigate general patterns in news information in the United States, we combine a protocol for identifying major political news stories, 11 monthly surveys with 15,000 participants, and a model of news discernment. When confronted with a true and a fake news story, 47 percent of subjects confidently choose the true story, 3 percent confidently choose the fake story, and the remaining half are uncertain. Socioeconomic differences are associated with large variations in the probability of selecting the true news story. Partisan congruence between an individual and a news story matters, but its impact is up to an order of magnitude smaller. (JEL D72, D83, L82)
National Bureau of Economic Research · 2024-06-01 · 2 citations
reportOpen access1st authorCorresponding
We develop a framework that examines the organizational challenges faced by central rulers governing large territories, where administrative power needs to be delegated to local elites.We describe how economic change can motivate rulers to empower different elites and emphasize the interaction between local and nationwide institutions.We show that rising economic potential of towns leads to local administrative power (self-governance) of urban elites.As a result, the ruler summons them to central assemblies in order to ensure effective communication and coordination between self-governing towns and the rest of the realm.This framework can explain the emergence of municipal autonomy and towns' representation in early modern European parliaments-a blueprint for Western Europe's institutional framework that promoted stateformation and economic growth in the centuries to follow.We provide empirical evidence for our core mechanisms and discuss how the model applies to other historical dynamics, and to alternative organizational settings.
National Bureau of Economic Research · 2024-08-01 · 5 citations
reportOpen access1st authorCorresponding
This paper develops a model of news discernment to explore the influence of elections on the formation of partisan-driven parallel information universes. Using survey data from news quizzes administered during and outside the 2020 U.S. presidential election, the model shows that partisan congruence’s impact on news discernment is substantially amplified during election periods. Outside an election, when faced with a true and a fake news story and asked to select the most likely true story, an individual is 4% more likely to choose the true story if it favors their party; in the days prior to the election, this increases to 11%.
