This section will be updated by the time I finish my second year courses & get back to full time research 🙂
Projects on the back burner
- Thiago Alckmin and Valdemar Pinho Neto (2025): Origins, Migration and Networks in the Labor Market,” Working Paper
- Thiago Alckmin (2020): ”Unpacking the Foreign Firm Premium: A decomposition of the wage gap between foreign and domestic firms in Brazil,” Working Paper (Undergraduate Honors Thesis)
- Thiago Alckmin (2025): ”Bias in Performance Evaluations: Putting the thumb on the scale when it counts,” Working Paper
Papers/Projects I have worked on as a … Research Professional (2021-2024)
- José Scheinkman and Pedro Tremacoldi-Rossi. (2023): “Amnesty and Land Grabbing in the Amazon,” Working Paper
- Emanuele Colonnelli, Edoardo Teso and Valdemar Pinho Neto. (2023): “Politics At Work,” AER
- Emanuele Colonnelli and Edoardo Teso (2023): “Global Political Connections,” Working Paper
- Emanuele Colonnelli, Edoardo Teso , Mounu Prem and Tim McQuade (2023): “Local Politics and Spatial Misallocation,” Working Paper
- Emanuele Colonnelli, Edoardo Teso and Francesco Loiacono (2023) “Information Frictions in Government-Firm Relationships?,” Working Paper
Research Assistant (2017-2020)
- Anya Marchenko (2019) “The impact of host race and gender on prices on Airbnb,” Journal of Housing Economics.
- Steven D. Levitt (2020). “Heads or Tails: The Impact of a Coin Toss on Major Life Decisions and Subsequent Happiness,” Review of Economic Studies.
- Roland Fryer, Steven D. Levitt, John List and Anya Samek (2021). “Introducing CogX: A New Preschool Education Program Combining Parent and Child Interventions,” Working Paper
- Austan Golsbee, Stven D. Levitt and Chad Syverson. (2019) “Microeconomics,” Worth Publishers
Non-Academic
- The Role of Quantitative Hedge Funds in Investment Diversification, with Evandro Buccini and André Blanco (Dec 2020) [title translated from Portuguese]
Quantitative Investment Analyst (2020-2021)
- Implemented a ‘Quality at a Discount’ investment strategy leveraging an adapted Piotroski F-score to gauge quality and an ensemble of industry-controlled value metrics for value.
- Implemented investivble value-adjusted momentum factor.
- Implemented Fama-MacBeth for risk factor identification (with Shanken correction)
- Implemented XGBoost signal prediction for stoploss determination.