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Francesco Grigoli

Researcher at International Monetary Fund

Publications -  132
Citations -  2218

Francesco Grigoli is an academic researcher from International Monetary Fund. The author has contributed to research in topics: Monetary policy & Inflation targeting. The author has an hindex of 18, co-authored 125 publications receiving 1609 citations. Previous affiliations of Francesco Grigoli include University of Potsdam & Stanford University.

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Fiscal Policy in Latin America; Lessons and Legacies of the Global Financial Crisis

TL;DR: This paper examined the lessons and legacies of the crisis by addressing the following questions, among others: How much did the 2009 fiscal stimulus help growth? What shortcomings were revealed in the fiscal policy frameworks? What institutional reforms are now needed to provide enduring anchors for fiscal policy? How much rebuilding of buffers is needed going forward?
Journal ArticleDOI

Recoveries in the Middle East, North Africa, and Pakistan : Have Macroeconomic Policies Been Effective?

TL;DR: In this paper, the authors identify and document the properties of output gap recessions and recoveries in the Middle East, North Africa, and Pakistan (MENAP) during the 1980 to 2008 period.
Journal ArticleDOI

Assessing Targeted Containment Policies to Fight COVID-19

TL;DR: De Gruyter et al. as discussed by the authors proposed a SIR-macro model that allows for heterogeneous agents in terms of mortality rates and contact rates, and in which the government optimally bans people from working.
Proceedings ArticleDOI

Optimal correction of data from misoriented multi-component geophysical sensors

TL;DR: In this paper, a quaternion-based analytical method for the calculation of the optimal re-orientation of three-component sensors is proposed. But, the authors point out that this approximation can lead to significant deviations between re-oriented data and original data and therefore, the estimation of not only an optimal rotation angle, but also the rotation axis can help to mitigate a systematic source of error in the processing of geophysical data.