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I am a PhD Student in Economics at HEC - University of Lausanne. I am currently visiting the Institute for Research of Labor and Employment at University of California, Berkeley. My research interests are Labor Economics and Applied Microeconometrics. I previously studied at Bocconi University and Carlos III University. Please download my CV for more information. You can contact me by email at: fabrizio.colella@unil.ch or fabrizio.colella@berkeley.edu |
RESEARCH
Working Papers
You'll Never Walk Alone: The Effect of Moral Support on Performance
with Patricio Dalton and Giovanni Giusti
CentER Discussion Paper; Vol. 2018-026
[pdf]
Press: Quartz, Uno
This study presents evidence on the role of moral support on performance in a competitive environment. We take advantage of an unusual change in the Argentinean football legislation. In August 2013, as a matter of National security, the Argentinean government forced all the teams of the first division to play their games with only home team supporters. Supporters of the visiting teams were not allowed to be in stadiums during league games. We estimate the effect of this exogenous variation of supporters on team performance, and we find that visiting teams are, on average, about 20% more likely to lose without their supporters. Moreover, we find that the lack of supporters of the visiting team increased the score differential between the home team and the visiting team. The effect of the ban is stronger for big teams, who have the highest number of supporters when playing away. In addition, we find no evidence of changes of referees' decisions due to the ban, suggesting that the effect on team performance is due to the loss of moral support rather than a change in referees hostility. As placebo test, we run the analysis using contemporaneous cup matches, where the visiting team supporters were allowed to attend. We find no effect of the ban on the cup games, which provides additional empirical support to our findings. Our results offer unique and novel empirical evidence on the importance of moral support for performance.
with Patricio Dalton and Giovanni Giusti
CentER Discussion Paper; Vol. 2018-026
[pdf]
Press: Quartz, Uno
This study presents evidence on the role of moral support on performance in a competitive environment. We take advantage of an unusual change in the Argentinean football legislation. In August 2013, as a matter of National security, the Argentinean government forced all the teams of the first division to play their games with only home team supporters. Supporters of the visiting teams were not allowed to be in stadiums during league games. We estimate the effect of this exogenous variation of supporters on team performance, and we find that visiting teams are, on average, about 20% more likely to lose without their supporters. Moreover, we find that the lack of supporters of the visiting team increased the score differential between the home team and the visiting team. The effect of the ban is stronger for big teams, who have the highest number of supporters when playing away. In addition, we find no evidence of changes of referees' decisions due to the ban, suggesting that the effect on team performance is due to the loss of moral support rather than a change in referees hostility. As placebo test, we run the analysis using contemporaneous cup matches, where the visiting team supporters were allowed to attend. We find no effect of the ban on the cup games, which provides additional empirical support to our findings. Our results offer unique and novel empirical evidence on the importance of moral support for performance.
Work in Progress
Inference with Arbitrary Clustering
with Rafael Lalive, Seyhun Orcan Sakalli, and Mathias Thoenig
[pdf available upon request]
Inference in empirical analyses that use geospatial data, or data with a network structure, is challenging since unobserved errors can be correlated in space, along a network, or over time. We develop an estimator for the variance-covariance matrix (VCV) of OLS and IV estimates that allows for arbitrary dependence of the errors across observations, and across time periods. Specifically, this estimator can account for indirect links in the cross-sectional dependence, time dependence, and alteration of the correlation structure over time. We construct a geospatial setting that mimicks MSAs in the U.S. and show that tests based on our estimator of the VCV asymptotically correctly reject the null hypothesis in settings where conventional inference rejects the null hypothesis too often. We provide a companion statistical package acreg enabling users to adjust OLS and 2SLS coefficient's standard errors, accounting for arbitrary dependence.
with Rafael Lalive, Seyhun Orcan Sakalli, and Mathias Thoenig
[pdf available upon request]
Inference in empirical analyses that use geospatial data, or data with a network structure, is challenging since unobserved errors can be correlated in space, along a network, or over time. We develop an estimator for the variance-covariance matrix (VCV) of OLS and IV estimates that allows for arbitrary dependence of the errors across observations, and across time periods. Specifically, this estimator can account for indirect links in the cross-sectional dependence, time dependence, and alteration of the correlation structure over time. We construct a geospatial setting that mimicks MSAs in the U.S. and show that tests based on our estimator of the VCV asymptotically correctly reject the null hypothesis in settings where conventional inference rejects the null hypothesis too often. We provide a companion statistical package acreg enabling users to adjust OLS and 2SLS coefficient's standard errors, accounting for arbitrary dependence.
TEACHING
HEC - University of Lausanne
Econometrics - TA (Master and PhD) - with Rafael Lalive and Michele Pellizzari
Fall 2017 and 2018 - Teaching Evaluation: 89/100 - REPORT 2017, REPORT 2018
Fall 2017 and 2018 - Teaching Evaluation: 89/100 - REPORT 2017, REPORT 2018
European Integration and International Trade - TA (Bachelor) - with Marius Brülhart
Spring 2017 and 2018 - Teaching Evaluation not available
Spring 2017 and 2018 - Teaching Evaluation not available
CONTACT
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Institute for Research on Labor and Employment
University of California, Berkeley 2521 Channing Way # 5555 Berkeley CA 94720-5555 USA fabrizio.colella@berkeley.edu |
Department of Economics
University of Lausanne Quartier UNIL-Chamberonne Bâtiment Internef - office 532 1015 Lausanne Switzerland fabrizio.colella@unil.ch |
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