Multiple regressions made simple

This workshop has been adapted to an online format.  

About the workshop:

Regression is a vital tool for any quantitative researcher. Regression analysis provides a powerful research technique that allows you to investigate the combined associations and even causal relations between one or more predictors and an outcome. This introductory course on regression analysis gives you an overview of regression types and the application of multiple regressions.

The first half of the course focuses on the theory and intuition behind regression analysis, in particular linear regression, and covers the formulation, interpretation and validation of linear regression models.

The second half of the course offers students hands-on use of a statistical package (STATA) to observe how the theory can be applied to answer a specific research question. 

Course content:

This course takes you from the basics of types of regression to the formulation of a multiple linear regression model. Interaction terms are introduced and explained, as well as regression model with instrument variables, and panel data analysis. The following are some examples that will be used to illustrate the applications of various types of regression analysis:

1. Using OLS regression analysis to examine the salary determinants of hockey players
2. Using linear regression model and instrument variable approach to study hamburger price and quantity of consumption under different market structures
3. Using panel data regression analysis to study minimum wage effects on wages and employment
4. Using firm-worker linked survey data to provide evidence of immigrant, racial and gender wage gap

Learning outcomes:

By the end of this course you should be able to:

• understand the different types of regression and their applications
• visualise and understand multiple regression model statistics
• understand multiple linear regression models and how these can be constructed
• interpret regression

 (word file) Workshop outline (opens in new window) 

Workshop leader:

Tony Fang is the Stephen Jarislowsky Chair in Cultural and Economic Transformation at Memorial University of Newfoundland and an adjunct Professor with the University of Toronto. Currently he holds the J. Robert Beyster Faculty Fellowship at Rutgers University and sits on a World Bank's Expert Advisory Committee on Migration and Development. Prior to joining Memorial, he was the Director of Master of International Business Program at Monash University in Melbourne, Australia. He served as the President of the Chinese Economists Society (2012-13) and the Domain Leader at CERIS, Ontario Metropolis Centre (2009-12). He was a visiting professor at Harvard University and NBER, Wharton School of the University of Pennsylvania, City University of Hong Kong, University of Macau, Tsinghua University, Fudan University, and Southwest University of Finance and Economics. In 2017, he was elected as a Fellow of Royal Society of Arts (FRSA).

Professor Fang has a Ph.D. in Industrial Relations and Human Resource Management from the University of Toronto. His areas of research interest encompass issues of immigration, diversity, and cultural changes, cross-cultural management, inter-cultural communications, high performance workplace practices, pension, retirement policy and the ageing workforce, minimum wages and youth employment, union impact on wages, innovation and firm growth, pay equity and employment equity.

Workshop fee:

Regular price $100 (discounted fee for students $20)  

Due to these uncertain times, we are offering these workshops free of charge.