Read my teaching philosophy here

Teaching Interests

Undergraduate Level

• Econometrics
• Computational Methods (using any of Stata, R, Python, or MATLAB)
• Health Economics
• Labour Economics
• Demographic Economics

Graduate Level

• Econometrics – Core Methods
• Econometrics – Robust Methods
• Micro-econometric Methods
• Health Economics

Teaching Experience

Lectures/Tutorials Given

4 Stata tutorials – Applied Micro-econometrics (769; Graduate Level) Winter 2017

• Instrumental variables
• Static and dynamic linear, and non-linear panel data models

6 Stata tutorials – Econometrics I (3U03) Winter 2017

• Monte Carlo simulations of sampling distributions
• Simple and multiple linear regression, and hypothesis testing

11 Stata tutorials – Applied Econometrics (3WW3) Winter 2017

• Data management, manipulation and visualization
• Simple and multiple linear regression, and hypothesis testing

1 Class Lecture – Econometrics II (4G03) Fall 2016

• Instrumental variables, two-stage least squares, weak instruments

1 Class Lecture – Economics of Labour Market Issues (2A03) Fall 2016

• Interpretation of indifference curves

1 Class Lecture – Health Economics (3Z03) Winter 2013

• Economic models in health (e.g., Grossman model, principle/agent model)

Course Materials Prepared

Econometrics I (761) Fall 2017

• Full solutions for assignments and midterm
• Handout on matrix algebra and calculus for deriving the OLS estimator

Econometrics I (3U03) Winter 2017

• *.do files for all Stata tutorials including Monte Carlo simulations

Marking

Econometrics I (761; Graduate Level) Fall 2017

Microeconomic Theory for Public Policy (727; Graduate Level) Fall 2017

Econometrics I (3U03) Winter 2017

Applied Econometrics (3WW3) Winter 2017

Health Economics (3Z03) Winter 2013

Intermediate Microeconomics II (2GG3) Winter 2013

Introduction to Game Theory (3M03) Fall 2012

Industrial Organization (3S03) Fall 2012

Intermediate Microeconomics I (2G03) Fall 2012