Donovan Rasamoelison

Graduate:

ECON 241: Econometrics 3 - PhD. first-year sequence - (Spring 2025)

Course description: This course covers the most commonly used tools in empirical research. We will consider both the classical setup with constant coefficients and more recent advances in the analysis of models with heterogeneous coefficients, with a focus on treatment effects. Topics covered include: OLS estimation/inference, robust variance estimation, potential outcomes and causality under unconfoundedness, IV and GMM, Local Average Treatment Effects, fixed and random effects models, DID, consistency and asymptotic normality of M- and Z-estimators, and non-linear models.

ECON 204B: Macroeconomic Theory 2- PhD. first-year sequence - (Winter 2023)

Course description: The first part of the course covers: introduction to dynamic programming, Arrow-Debreu equilibria, sequences of market equilibria, recursive competitive equilibria, first and second welfare theorems, real business cycles. The second part of the course covers the theory of the discrete and continuous time Job search model and its application to other context such as marriage, crime, etc.

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Python code demo for collecting and plotting data from FRED:

Code

Problem sets:

Problem set 1 (Due: 01/20/2023) - Solution
Problem set 2 (Due: 02/03/2023) - Solution
Problem set 3 (Due: 03/01/2023) - Solution
Problem set 4 (Due: 03/15/2023) - Solution
Midterm solution.

Section slides:

Undergraduate:

ECON 5: Statistics for Economics - Instructor of Record - (Fall 2024/Winter 2025)

Course description: An introduction to probability modeling and statistical inference applied to the analysis of economic data for students with basic knowledge of calculus. Topics covered include: probability, discrete and continuous random variables, probability distributions, mean, variance, correlation, sampling, parameter estimation, unbiasedness and efficiency, confidence intervals, and hypothesis testing. Computing labs with Excel.

ECON 145: Data Wrangling with R - Head Teaching Assistant - (Summer/Fall 2023)

Course description: Students develop skills in organizing economic data, learning how to summarize and display data to answer substantive economic questions. Emphasis is placed on the communication of results and coding with R.

Led a team of four undergraduate students to code an automated grading platform for more than 250 students using R.
Developed R coding prompts and answers for more than 20 data analysis assignments.

ECON 140A: Introduction to Econometrics - Teaching Assistant - (Spring 2023)

Course description: Estimation and hypothesis testing in classical linear regression models as well as violations of each classical assumption. Discrete dependent variable models and systems of simultaneous equations are also covered.

[Click here for course materials]