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Matteo M. Galizzi

Researcher at London School of Economics and Political Science

Publications -  11
Citations -  129

Matteo M. Galizzi is an academic researcher from London School of Economics and Political Science. The author has contributed to research in topics: Time perception & Hyperbolic discounting. The author has an hindex of 4, co-authored 11 publications receiving 38 citations. Previous affiliations of Matteo M. Galizzi include University of Brescia.

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Response to COVID-19: was Italy (un)prepared?

TL;DR: In this paper, the authors review the Italian response to the COVID-19 crisis spanning from the first early acute phases of the emergency (March-May 2020) to the relative stability of the epidemiological situation just before the second outbreak in October 2020.
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Heterogeneity in Risk-Taking During the COVID-19 Pandemic: Evidence From the UK Lockdown

TL;DR: In two pre-registered online studies during the COVID-19 pandemic and the early 2020 lockdown (one of which with a UK representative sample) as mentioned in this paper elicit risk-tolerance for 1,254 UK residents using four of the most widely applied risk-taking tasks in behavioral economics and psychology.
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Corona-regionalism? Differences in regional responses to COVID-19 in Italy.

TL;DR: In this article, the authors discuss the responses to the COVID-19 crisis in the acute phase of the first wave of the pandemic (February-May 2020) by different Italian regions in Italy, which has a decentralised healthcare system.
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Advocatus et non Latro? Testing the Supplier-Induced Demand Hypothesis for Italian Courts of Justice

TL;DR: In this article, the authors explore the relationship between litigation rates and the number of lawyers, in a typical supplier-induced demand (SID) frame, and find that a 10 percent increase of lawyers over population is associated with an increase between 1.6 to 6 percent in civil litigation rates.
Posted Content

Looking Ahead: Subjective Time Perception and Individual Time Discounting

TL;DR: The authors disentangle hyperbolic discounting from subjective time perception using experimental data from incentive-compatible tests to measure time preferences, and a set of experimental tasks to measure the time perception.