Instructor - Columbia University
- Data Analysis for Policy and Decision Making II (Spring 2022)
This is an intermediate-level course in non-experimental quantitative research methods, especially those related to education policy. The class examines such topics as residual analysis, modeling non-linear relationships and interactions using regression, logistic regression, missing data analyses, multilevel models, and principal components analysis. The course interweaves several concepts: framing research questions; using moderately advanced statistical approaches; learning to manipulate a large-scale longitudinal database; designing empirical tests to examine policy issues with appropriate statistical techniques; and interpreting and conveying research results to diverse audiences.
Teaching Assistant - Columbia University
- Quantitative Methods for Evaluating Education Policies and Programs (Prof. Peter Bergman, Spring 2020 & 2021)
- Data Analysis for Policy and Decision Making II (Prof. Jordan Matsudaira, Fall 2019 & 2020)
Teaching Assistant - Universidad de Chile
- Labor Market & Labor Economics (Prof. Jaime Ruiz Tagle, Spring 2011)
- Issues in Social Project Evaluation (Prof. Jaime Ruiz Tagle, Spring 2011)
- Econometrics I (Prof. Jaime Ruiz Tagle, Fall 2012)
- Economics 101 (Prof. Dante Contreras, Fall 2011 & 2012)
- Labor Economics (Prof. Dante Contreras, Fall 2011)
- Labor Economics (Prof. David Bravo, Spring 2010)
- Calculus II (Prof. Freddy Rojas, Spring 2010)
