American Economic History (Undergraduate) – Spring 2022
The growth of the American economy since 1790, both as a unique historical record and as an illustration of factors in the process of economic development. The American experience viewed in the context of its European background and patterns of industrialization overseas.
University of Victoria
Labour Economics 1 (3rd-year undergraduate) – Fall 2018-present
Aspects of labour supply and demand, and wage structures. Topics may include: the allocation of time, retirement, unemployment insurance, education and training, male-female wage differentials.
Labour Economics (graduate) – Winter and Fall 2020
This course is an introduction to contemporary empirical and theoretical research in labour markets. You will be presented with theoretical models on a small number of topics, will be required to read journal articles and working papers, and will develop skills for dealing with microdata. A substantial portion of time will be spent understanding how to interpret empirical results and how to avoid some of the common pitfalls associated with interpreting causal relationships in Labour Economics research.
Introductory Econometrics (3rd-year undergraduate) – Fall 2016
Estimation and inference in multivariate econometric models. Emphasizes understanding of methods and their properties, as distinct from their formal theoretical development. Practical tools for preparing and analyzing data with appropriate models are taught using econometric software.
Income Distributions and Problems in Inequality (3rd-year undergraduate) – Fall 2014
This course will provide an introduction to the measurement and analysis of poverty and inequality, with a particular focus on inequality and the distribution of earnings in Canada. We will look at trends in inequality, theories of the principal determinants of the distribution of income, and we will also review some recent empirical findings in the related literature. Students should be comfortable with the principles of microeconomic theory, and we will also be using concepts from elementary statistics, so prior knowledge of statistics is strongly recommended.