Andrea Galeotti

I am a Professor at London Business School. Please click here to access my Research Statement. Please click here to access my Google scholar citations

Lecture on Covid-19.  Italian version: Lezione su Covid-19 

News on Covid 19 research

  • Rotation as Contagion Mitigation. This paper has been accepted for publication in Management Science. The paper studies how to organize a workforce to minimize the likelihood and size of new covid-19 outbreaks. If you could choose, you would like to divide members of the organization in a way that only non-infected people interact. But the decision maker does not observe who is and who is not infected. We propose a simple mechanism, based on rotation, that can achieve very good outcomes in minimising the spread of a disease even if infection is not observable. The insights of this paper are discussed in the DELVE report “The Economic Aspects of the Covid 19 crisis”. A non technical discussion can be found here: LBS report and  Kellogg Insight.
  • We are working on the value of testing. How should we allocate tests across the population? How can we use a portfolio of tests with different reliability to increase the effectiveness of testing? This is a new theoretical model on Optimal Test Allocation with J. Ely and J. Steiner. This is a recent article in Economics Observatory. This is a recent article in Time. This is an article in Voxeu. This is a video part of our series A user-guide to Covid-19. This is an Interview CNBC .

Other material on Covid

News on research output related to ERC Consolidator GrantOligopoly Markets and Networks, starting June 2017 and ending May 2022. This follows my previous ERC Starting Grant, awarded for the project Networks, Markets and Organizations (October 2011–September 2016).

  • Digital Privacy. We propose a framework to understand the incentives of digital businesses to protect customers information. The framework has two novel aspects. The first is that privacy costs are determined by the strategic behaviour of external agents that may abuse the information that the platform has collected about consumers. The second aspect is that we provide a taxonomy of different business revenue models. See a presentation of a co-author of mine at the Privacy Workshop in Princeton.  See also the following article from Luohan Academy. And the following article.
  • The paper Targeting network interventions has been accepted for publication in Econometrica. We study the problem of a decision makers, say a government, to invest in different economic agents whose activity is interrelated. For example, kids in a school may undertake risky and unhealthy behaviour, like smoking, because of peer pressures. If the decision maker understands and has information on such peer pressures, how can she target awareness programmes to decrease smoking activity in the school? The paper provides a methodology to study those problems. There is also a connection to the current epidemic crisis and how to devote governmental resources to minimise the economic costs of lockdown. But this connection needs to be elaborated on.
  • How can network theory help competition authorities? Check out a new paper prepared for Oxford Review of Economic Policy: The role of networks in antitrust investigations.
  • Check out a revised version of the paper The market for online influence. This paper is co-authored with Itay Fainmesser. This trailer summarizes the topic and some insights of the paper. These two articles discuss the paper: Les influenceurs courent à leur perte selon le modèle mathématique d’un économiste ; Advertising regulations harm social media influencers, followers, and marketers alike
  • Yann Bramoulle, Brian Rogers and I have co-edited the Oxford Handbook on the Economics of Networks. See a recent survey in Journal of Economic Literature from Bryony Reich (Northwestern University)