Past Assignments

This section includes past coursework and will be updated during the academic year. Coding samples is available on my Github page.

Computational Economics (Fall 2025)

This course, instructed by Florian Oswald, introduced us to quantitative methods in economics using Julia, with a focus on optimization and dynamic programming. For our term project, together with Etienne Compérat and Paulo Gugelmo Cavalheiro Dias, we built a package to replicate Monge-Naranjo, Alexander, Juan M. Sánchez, and Raül Santaeulàlia-Llopis. “Natural Resources and Global Misallocation.” American Economic Journal: Macroeconomics 11, no. 2 (2019): 79–126.

You can find our package documentation and GitHub repository here.

Macroeconomics II (Spring 2024)

This course, instructed by Jean Barthélemy, covered real business cycle theory and New Keynesian models. With my co-presentors Tanfei Li and Tianxiang Yuan, we presented Menu Costs and Phillips Curves by Golosov and Lucas (JPE, 2007). This paper analyzes how a fixed cost of price changes, as opposed to Calvo repricing probabilities, affects impulse reponses in a standard New Keynesian Framework in which firms face aggregate money supply and idiosyncratic technology shocks.

You can find our presentation slides here.

Microeconomics II (Spring 2024)

This course in microeconomics specifically dealt with Game Theory and required us to develop our own gane applied to a real-world example using the tools and material acquired during the course, supervised by Emeric Henry. We focused on strategic interactions between a profit-maximizing firm and an environmentally-concious government to discuss how governments can implement “optimal” taxation to encourage firms to decrease pollution during production. We first describe an equilibrium outcome under perfect information, before introducing informational asymmetries modelled by a signalling game.

Our research report is available here and on our dedicated project website maintained by my friend and co-author Paulo Gugelmo Cavalheiro Dias.