Quantitative Impact Assessment Workshop/Case Studies I

[Français]

QIA Workshop - Session 3 - Case Studies I

Recording

Session 3 - Case Studies I / Études de cas (YouTube)

Agenda | March 26 | 9:00am - 12:00pm ET

Case Study 1	Propensity score matching (PSM) and difference-in-difference (DID) to study the determinants and effects of cleantech investment on firm growth	Michael Willox	Presentation [click here]
Case Study 2	Hierarchical linear modelling using administrative data to study the Triple P – Positive Parenting Program	Rubab Arim	Presentation [click here]
Case Study 3	Empirical density design to study labour supply responses to income taxation among older couples	Derek Messacar	Presentation [click here]

Meet the Presenters!

Michael Willox

Michael Willox is a senior research economist at Statistics Canada, where he specializes in casual inference analysis and productivity and efficiency modeling. His areas of interest include measuring business productivity and efficiency, climate change economics, and developing business intelligence tools. Michael has worked in several federal government departments, including Finance Canada and Health Canada, where he was a program evaluation analyst. He received a Master of Arts degree in economics from McGill University in 2003 and is currently a PhD candidate at Brunel University, London, UK.

Rubab Arim

Dr. Rubab Arim received her Ph.D. in Human Development, Learning, and Culture from the University of British Columbia. She is currently Chief in the Social Analysis and Modelling Division at Statistics Canada. Dr. Arim has research expertise in the use of population-based survey and administrative data and advanced statistical techniques to study policy-relevant issues for vulnerable populations, including children and youth with disabilities and their caregivers, with a particular focus on social determinants of health. Dr. Arim’s recent collaborations include measurement of childhood disability and educational outcomes of child and youth with disabilities using population-based linked survey and administrative data.

Derek Messacar

Dr. Derek Messacar is a Senior Research Analyst in the Social Analysis and Modelling Division at Statistics Canada. In addition, he is an Associate Professor of Economics at Memorial University; Research Fellow of the Retirement and Savings Institute at HEC Montréal; and Board Member of the Canadian Labour Economics Forum. Dr. Messacar is an applied micro-economist with specializations in public finance and labour economics. He has written on numerous topics including gender inequality, returns to schooling, pensions, retirement, and the COVID-19 pandemic. His research has been published in national and international journals including Review of Economics and Statistics, Journal of Labor Economics; American Economic Journal: Applied Economics, American Economic Journal: Economic Policy; National Tax Journal, Canadian Journal of Economics, and Canadian Public Policy/Analyse de politique. Dr. Messacar received his B.A. from Brock University, M.A. from the University of British Columbia, and Ph.D. from the University of Toronto.