Teaching

I teach courses in econometrics, spatial econometrics, discrete choice models, microeconomics, and computational methods for applied economic research. Most of my teaching materials emphasize the connection between econometric theory, empirical applications, and implementation in R.

3
Courses and workshops

2
Graduate courses

0
Workshops

Topics

Causal inference Consumer theory Cross-section Econometrics GeoDa IV/GMM Maximum likelihood Microeconomics Panel data R Spatial econometrics Specification testing Stata Theory of the firm Welfare analysis

Graduate courses

Econometrics

Graduate · Universidad Católica del Norte

March–July 2018; updated teaching materials in 2020

Econometric methods and applications for cross-section and panel data, with emphasis on estimation beyond classical OLS, applied work, and computational implementation.

Software: R, Stata

Econometrics Cross-section Panel data Causal inference R Stata

Materials

📄Syllabus 🖥️Class notes and slides ▶️Video: Law of iterated expectations

Spatial Econometrics

Graduate · Universidad de Talca

October–December 2020

Introduction to the methodology and application of spatial econometric models for Master and PhD students, including model specification, testing, maximum likelihood, IV/GMM estimation, and applied work in R and GeoDa.

Software: R, GeoDa

Spatial econometrics Maximum likelihood IV/GMM Specification testing R GeoDa

Materials

📄Syllabus 🖥️Class notes and materials 📘Spatial Econometrics book/notes ▶️Videos in Spanish 🧪Labs and homeworks

Undergraduate courses

Microeconomics

Undergraduate · Universidad de Talca

March–June 2023

Microeconomic theory course covering consumer theory, utility, the consumer problem, comparative statics, welfare analysis, and theory of the firm.

Microeconomics Consumer theory Welfare analysis Theory of the firm

Materials

🖥️Slides and handouts ✏️Homeworks 📝Previous exams

Workshops

Courses by topic

Causal inference

  • Econometrics — Econometric methods and applications for cross-section and panel data, with emphasis on estimation beyond classical OLS, applied work, and computational implementation.

Back to topics

Consumer theory

  • Microeconomics — Microeconomic theory course covering consumer theory, utility, the consumer problem, comparative statics, welfare analysis, and theory of the firm.

Back to topics

Cross-section

  • Econometrics — Econometric methods and applications for cross-section and panel data, with emphasis on estimation beyond classical OLS, applied work, and computational implementation.

Back to topics

Econometrics

  • Econometrics — Econometric methods and applications for cross-section and panel data, with emphasis on estimation beyond classical OLS, applied work, and computational implementation.

Back to topics

GeoDa

  • Spatial Econometrics — Introduction to the methodology and application of spatial econometric models for Master and PhD students, including model specification, testing, maximum likelihood, IV/GMM estimation, and applied work in R and GeoDa.

Back to topics

IV/GMM

  • Spatial Econometrics — Introduction to the methodology and application of spatial econometric models for Master and PhD students, including model specification, testing, maximum likelihood, IV/GMM estimation, and applied work in R and GeoDa.

Back to topics

Maximum likelihood

  • Spatial Econometrics — Introduction to the methodology and application of spatial econometric models for Master and PhD students, including model specification, testing, maximum likelihood, IV/GMM estimation, and applied work in R and GeoDa.

Back to topics

Microeconomics

  • Microeconomics — Microeconomic theory course covering consumer theory, utility, the consumer problem, comparative statics, welfare analysis, and theory of the firm.

Back to topics

Panel data

  • Econometrics — Econometric methods and applications for cross-section and panel data, with emphasis on estimation beyond classical OLS, applied work, and computational implementation.

Back to topics

R

  • Econometrics — Econometric methods and applications for cross-section and panel data, with emphasis on estimation beyond classical OLS, applied work, and computational implementation.
  • Spatial Econometrics — Introduction to the methodology and application of spatial econometric models for Master and PhD students, including model specification, testing, maximum likelihood, IV/GMM estimation, and applied work in R and GeoDa.

Back to topics

Spatial econometrics

  • Spatial Econometrics — Introduction to the methodology and application of spatial econometric models for Master and PhD students, including model specification, testing, maximum likelihood, IV/GMM estimation, and applied work in R and GeoDa.

Back to topics

Specification testing

  • Spatial Econometrics — Introduction to the methodology and application of spatial econometric models for Master and PhD students, including model specification, testing, maximum likelihood, IV/GMM estimation, and applied work in R and GeoDa.

Back to topics

Stata

  • Econometrics — Econometric methods and applications for cross-section and panel data, with emphasis on estimation beyond classical OLS, applied work, and computational implementation.

Back to topics

Theory of the firm

  • Microeconomics — Microeconomic theory course covering consumer theory, utility, the consumer problem, comparative statics, welfare analysis, and theory of the firm.

Back to topics

Welfare analysis

  • Microeconomics — Microeconomic theory course covering consumer theory, utility, the consumer problem, comparative statics, welfare analysis, and theory of the firm.

Back to topics