I am an applied economist and a Leverhulme Trust Post-Doctoral Fellow at the University of Essex. My research interests are in Labor Economics and Econometrics. My work spans topics of choice under imperfect information, (search and) matching and spatial dependence.
Starting this Fall, I will join Universidad Torcuato Di Tella as an Assistant Professor of Economics.
Contact me at:
c.comunello[at]essex.ac.uk
You can find my CV here.
Search and Reallocation in the Covid-19 Pandemic: Evidence from the UK (with Carlos Carrillo-Tudela, Alex Clymo, Annette Jäckle, Ludo Visschers and David Zentler-Munro) Labour Economics, 81 , 2023. Media Coverage: The Economist, The New Statesman, The Great Resignation (VoxEU, The Conversation , Reasons to be Cheerful podcast), The Silver Exodus (The Conversation). Cited by the UK Parliament's Economic Affairs Committee here.
The informational Value of Grades and Wages. 2024 Miltos Makris Award. [PDF here]
Abstract: Individuals make education and career decisions under uncertainty about their own ability. This paper quantifies the informational value of two ability signals, grades and wages, and examines how they shape schooling and work choices. Using administrative Brazilian data linking students’ academic records to complete employment histories, I estimate a Bayesian learning model in which individuals update beliefs as they observe grades and wages. I find that wages convey more precise information than grades, and that this aggregate dominance is driven mainly by slow learners in fast-paced learning environments; for other learning types, the two signals are roughly equally informative. Simulations show that learning from wages delays sorting on ability and reduces income inequality, but less so than learning from grades, because wage signals are less noisy and arrive while individuals accumulate work experience. By contrast, learning primarily through grades produces noisier updating, more course switching and dropout, and lower early-career earnings due to forgone work experience. As a result, learning through wages increases graduation rates and reduces income inequality relative to both full-information and learning-from-grades benchmarks. These findings suggest that work experience can be a cost-effective channel for ability discovery and for reducing attrition in human-capital investment.
A Nonparametric Test for Spillovers (with Margherita Comola and Abhimanyu Gupta) [PDF here]
We propose a novel nonparametric test for cross-unit spillovers which may occur through either peers' attributes or outcomes, or both. While our test is nonparametric, it is reminiscent of classical Lagrange Multiplier-type diagnostic tests. It requires only estimation under the null of no spillovers, thereby avoiding any nonparametric estimation, and is shown to have a convenient asymptotic standard normal distribution. We present empirical illustrations to show that our test is effective at detecting cross-unit spillovers arising in a nonparametric fashion that existing approaches might not spot effectively.
The Role of Financial Aid for Low-Income Low-Achievers. [PDF here]
Abstract: I use a series of discontinuities in policy eligibility to uncover the impact of different types of financial aid directed to low-income students, along their exam score distribution. Results show that low-interest loans are more effective than full and 50% grants in securing College completion but no significant effects on enrolment for students of similar low socioeconomic backgrounds. This is because loans act as a commitment device by introducing a penalty in case of dropout.
Sectoral Labour Flows (with Carlos Carrillo-Tudela, Alex Clymo, Ludo Visschers and David Zentler-Munro). [Slides here.]
Abstract: We develop a data-led structural framework for 1) measuring how workers direct their search effort towards different industries or occupations, and 2) providing measures of market tightness by industry and occupation. The novelty is to use realised worker flows to infer worker search effort and direction, when combined with vacancy data through the lens of a model of sector-specific matching functions.
Sectoral Mobility and Labour Shortages: A Cross-country Analysis (with Carlos Carrillo-Tudela, Alex Clymo, Ludo Visschers and David Zentler-Munro)
Low Enrolments in Centralized Admissions (with Gustavo Q. Saraiva)
The Supply of Higher Education, Local Labour Markets Shocks and College Dropouts
