Eleonora Patacchini

About

Eleonora Patacchini is the Stephen and Barbara Friedman Professor in the Department of Economics at Cornell University. She specializes in applied economics and applied statistics. Her recent research focuses on the empirical analysis of behavioral models of strategic interactions for decision making. Her work has been profiled in Bloomberg, PBS Newshour, The Independent, The Economist, and The New York Times. Currently, she is Co-Editor of the Journal of Urban Economics. Her research interests include social networks, education, gender, race, immigration, crime, culture, climate change, urban planning, innovation, experimental methods, policy evaluation, and computational economics.

Research topics

• Political Science
• Computer Security
• Computer Science
• Law
• Econometrics
• Psychology
• Economics
• Artificial Intelligence
• Machine Learning
• Mathematics

Selected publications

• Who is the Key Player? A Network Analysis of Juvenile Delinquency

  Journal of Business and Economic Statistics · 2020 · 94 citations

  This article presents a methodology for empirically identifying the key player, whose removal from the network leads to the optimal change in aggregate activity level in equilibrium [Ballester, C., Calvó-Armengol, A., and Zenou, Y. (2006), “Who’s Who in Networks. Wanted: The Key Player,” Econometrica, 74: 1403–1417], allowing the network links to rewire after the removal of the key player. First, we propose an IV-based estimation strategy for the social-interaction effect, which is needed to det…

  DOI

• Effectiveness of Connected Legislators

  American Journal of Political Science · 2020 · 37 citations

  Senior authorCorresponding

  Abstract Important work has been done to measure legislative effectiveness in the U.S. Congress and to explain the individual characteristics that drive it. Much less attention, however, has been devoted to study the extent to which legislative effectiveness depends on the legislators' social connections. We address this issue with a new model of legislative effectiveness that formalizes the role of social connections, and we test its predictions using the network of cosponsorship links in the 1…

  PublisherDOI

• Refining public policies with machine learning: The case of tax auditing

  Journal of Econometrics · 2024-09-23 · 23 citations

  articleOpen accessSenior author

  We study how machine learning techniques can be used to improve tax auditing efficiency using administrative data without the need of randomized audits. Using Italy’s population data on sole proprietorship tax returns and audits, our new approach addresses the challenge that predictions must be trained on human-selected data. There are substantial margins for raising revenue from audits by improving the selection of taxpayers to audit with machine learning. Replacing the 10% least promising audi…

  PublisherDOI

• Endogenous Social Interactions with Unobserved Networks

  The Review of Economic Studies · 2021 · 20 citations

  Abstract We present a model of endogenous network formation to recover unobserved social networks using only observable outcomes. We propose a novel equilibrium concept that allows for a sharp characterization of equilibrium behaviour and that yields a unique prediction under testable conditions. While the equilibrium is characterized by a large number of non-linear equations, we show that it can be efficiently employed to recover the networks by an appropriately designed approximate Bayesian co…

  PublisherDOI

• Experience, Narratives, and Climate Change Beliefs

  SSRN Electronic Journal · 2024-01-01 · 5 citations

  articleOpen accessSenior author
  PublisherDOI

Frequent coauthors

• Yves Zénou

  Monash University

  471 shared

• Marco Battaglini

  138 shared

• Thierry Verdier

  114 shared

• Valerio Leone Sciabolazza

  94 shared

• Alberto Bisin

  New York University

  92 shared

• Claudia Olivetti

  Dartmouth Hospital

  37 shared

• Edoardo Rainone

  Bank of Italy

  35 shared

• Pierre M. Picard

  35 shared

Awards & honors

• Stephen and Barbara Friedman Professor in the Department of…

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