CV

Luan Borelli is a Master’s student at FGV EPGE – Brazilian School of Economics and Finance. Formerly, he worked as a Researcher for the National Development Research Program (PNPD) at the Institute for Applied Economic Research (IPEA), serving on the Directorate of Macroeconomic Studies and Policies (DIMAC). He is a graduated economist from the Brazilian Institute of Capital Markets (IBMEC). His research interests lie in the fields of Macroeconomics, Macroenometrics and Finance.

Education

Master in Economics (2022-Today)
Fundação Getúlio Vargas – Brazilian School of Economics and Finance
FGV/EPGE

Bachelor in Economics (2017-2020)
Brazilian Institute of Capital Markets
IBMEC-RJ
Grade: 8,6

Academic

TA
  • Econometrics I (2019.1, 2020.1)
  • Calculus III (2018.2)
  • Microeconomics II (2018.2)
  • Linear Algebra (2019.2)
Honors & Awards
  • 1st place @ Ibmec Undergraduate Thesis Award 2020
  • 1st place @ Ibmec Education Stars Merit Scholarship 2020
  • 2nd place @ Ibmec Investment Challenge 2019.2
Other activities
  • Study Group on Real Analysis (CNPq)

Professional

Researcher
Directorate of Macroeconomic Studies and Policies (DIMAC) at Institute for Applied Economic Research (IPEA)

At DIMAC, I worked on the operationalization and automation of macroeconomic models, having worked with dynamic stochastic general equilibrium models (DSGE), overlapping generation models (OLG), and vector autoregression models (VAR). During the COVID-19 pandemic, I also worked with epidemiological models (SIR) with economic interactions.

At Ipeadata, I developed the Ipeadatapy package, which makes it possible to query, view, and extract Ipeadata’s database data and metadata directly via Python code. I also developed internal Python algorithms to produce statistical reports regarding database queries, aiming at subsidizing decisions on revision, updating, and inclusion of time series. Furthermore, I participated in the reformulation of the database’s metadata norms and standards, developing benchmarking research with large national and international time-series databases.

Volunteering

International Congress of Mathematicians
ICM 2018
  • I was part of the congress’ volunteer support team. I participated in an IMPA article about volunteering at the congress.

Research, references and other writings

Publications

  • Borelli, L., Vonbun, C. (2021) “Forecasting Brazilian GDP under Fiscal Foresight and Nonfundamentalness with a Noncausal Fiscal VAR”, R&R at Brazilian Review of Econometrics.
    • Working paper version: SSRN.
  • Borelli, L. and Góes, G. S. (2021), “The Macroeconomics of Epidemics: Interstate Heterogeneity in Brazil”, EconomiA, forthcoming.
    • Previous working paper versions:
      • English version: “Macroeconomics of Epidemics: Interstate Heterogeneity in Brazil” (2020), Covid Economics: Vetted and Real-Time Papers, Issue No. 30. Centre for Economic Policy Research (CEPR).
      • Portuguese version: “A Macroeconomia das Epidemias: heterogeneidade interestadual no Brasil” (2020), Texto para Discussão IPEA, No. 2581. Institute for Applied Economic Research (IPEA).
  • Borelli, L., Vonbun, C. e Góes, G. S. (2021) “Antecipação Fiscal, Não Fundamentalidade e Não Causalidade no Brasil”, Texto para Discussão IPEA, No. 2699. Institute for Applied Economic Research (IPEA).
  • Borelli, L and Goes, G S (2021), “Implicações da descoordenação entre as esferas federal e estadual na condução de políticas públicas de combate à pandemia da Covid-19 no Brasil”, Cadernos ENAP. Issue No. 85. National School of Public Administration (ENAP).
Other writings
References