Policy Evaluation: Introduce the students to the policy evaluation methods focusing on the understanding of the selection mechanism behind the policy. Methods discussed: randomization, propensity score analysis, differences-in-differences, synthetic control, among others (Economics, 2015-2025).
Spatial Econometrics: Introduce the students to applied spatial statistics and spatial econometrics for cross-section and panel data (Economics, 2015-2016). Link
Economics of Climate Change: Introduce the students to economic methods to evaluate climate change effects on the economy and well-being (INCLINE, 2019-2020).
Demand Estimation (Mini-course): Introduce the students to the link between theoretical and empirical approaches for estimating a system of demands using household budget surveys (Economics, 2014-2016, 2020).
Economics of Climate: Introduce the students to economic models to understand and evaluate the impact of climate change (2024-25).
Econometrics I: Specification, estimation, and inference of the linear regression models. It also addresses the identification problems from linear models. Basic structure: 1) exogeneity and identification; ii) linear Regression models; iii) estimation (OLS, MLE, GMM); iv) asymptotic properties; v) inference; vi) binary variables (dummy); vii) heteroskedasticity; viii) serial autocorrelation; ix) specification problems (2014-2024).
Econometrics II (EAE0325): Introduce instrumental variables method, simultaneous equations, discrete choice models, and panel data methods (2015).
Introduction to Economics: Introduce the students (first-year) to the basis of the economic theory: i) basic economic concepts; ii) economic models; iii) supply and demand; iv) market and equilibrium; v) elasticities; vi) welfare analysis (2011-2013).
Basic Econometrics (Coursera): Online course. In Portuguese. Click here.
Book: Econometria Aplicada with Denisard Alves. Campus-Elsevier, 2018 (in Portuguese). Buy here. (Data for exercises and Solution).