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[[Atelier sur l'EQI|[Français]]]

[[Atelier sur l'EQI|[Français]]]

[[File:QIA GCwiki Header (EN).png|frameless|1269x1269px]]

[[File:QIA 2026 GCwiki Header (EN).png|alt=|frameless|1269x1269px]]

='''Quantitative Impact Assessment (QIA) Workshop (2024)'''=

='''Quantitative Impact Assessment (QIA) Workshop (2026)'''=

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| scope="col" width="1200" |Statistics Canada (StatCan) and the Treasury Board of Canada Secretariat (TBS) have organized a four-day workshop on using QIA methods for program evaluation. Participants will learn the strengths and limitations of QIA methods and how to better leverage data.

| scope="col" width="1200" |The Treasury Board of Canada Secretariat (TBS) has organized a four-day workshop on using QIA methods for program evaluation. Participants will learn the strengths and limitations of QIA methods and how to better leverage data.

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| scope="col" width="80" |'''March 19'''

| scope="col" width="80" |'''January 26'''

| scope="col" width="115" |9am-12pm (ET)

| scope="col" width="115" |9am-11am (ET)

| scope="col" width="670" |''Fundamentals'' provides a comprehensive overview of QIA concepts. Participants will learn the difference between program outcomes and program impacts, and be introduced to the common approaches to QIA (such as difference-in-differences, discontinuity estimators, and more). This session also offers a detailed overview of randomized controlled experiments – the gold standard of QIA.

| scope="col" width="670" |''Fundamentals'' will provide a comprehensive overview of QIA concepts and introduce participants to common approaches to QIA.

| scope="col" width="125" |English with bilingual materials

| scope="col" width="125" |English with bilingual materials

| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Fundamentals|Session 1 - Agenda and Materials <small>[click here]</small>]]

| scope="col" width="210" |[[QIA Workshop/Fundamentals|Session 1 - Agenda and Materials <small>[click here]</small>]]

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=='''<small>Session 2 - Data</small>'''==

=='''<small>Session 2 - Cost Benefit Analysis</small>'''==

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| scope="col" width="80" |'''March 21'''

| scope="col" width="80" |'''February 2'''

| scope="col" width="115" |9am-12pm (ET)

| scope="col" width="115" |9am-11am (ET)

| scope="col" width="670" |''Data'' provides an overview of the data environments available through Statistics Canada. Participants will learn about performing custom tabulations and multivariate analysis, with specific emphasis on the availability of gender and diversity data and Quality of Life data. This session explains how to access existing microdata and overcome data gaps.

| scope="col" width="670" |''Cost Benefit Analysis'' will provide participants with an introduction to cost benefit analysis for program evaluation.  

| scope="col" width="125" |English with bilingual materials

| scope="col" width="125" |English with bilingual materials

| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Data|Session 2 - Agenda and Materials <small>[click here]</small>]]

| scope="col" width="210" |[[QIA Workshop/Cost Benefit Analysis|Session 2 - Agenda and Materials <small>[click here]</small>]]

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=='''<small>Session 3 - Case Studies I</small>'''==

=='''<small>Session 3 - Research Methods I</small>'''==

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| scope="col" width="80" |'''March 26'''

| scope="col" width="80" |'''February 9'''

| scope="col" width="115" |9am-12pm (ET)

| scope="col" width="115" |9am-11am (ET)

| scope="col" width="670" |''Case Studies I'' focuses on three real-life examples of QIA methods being applied to evaluate program performance and impact. These case studies primarily leverage social data. The methods covered are (1) empirical density design, (2) hierarchical linear modelling, and (3) propensity score matching and difference-in-differences.

| scope="col" width="670" |''Research Methods I'' will provide an overview of quasi-experimental research design and introduce participants to common QIA techniques.

| scope="col" width="125" |English with bilingual materials

| scope="col" width="125" |English with bilingual materials

| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Case Studies I|Session 3 - Agenda and Materials <small>[click here]</small>]]

| scope="col" width="210" |[[QIA Workshop/Research Methods I|Session 3 - Agenda and Materials <small>[click here]</small>]]

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=='''<small>Session 4 - Case Studies II</small>'''==

=='''<small>Session 4 - Machine Learning Methods</small>'''==

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| scope="col" width="80" |'''March 28'''

| scope="col" width="80" |'''February 16'''

| scope="col" width="115" |9am-12pm (ET)

| scope="col" width="115" |9am-11am (ET)

| scope="col" width="670" |''Case Studies II'' also focuses on three real-life examples of QIA methods being applied to evaluate program performance and impact. These case studies primarily leverage business microdata. The methods covered are (1) propensity score matching and entropy balancing, (2) matching difference-in-differences, and (3) modified causal forest.

| scope="col" width="670" |''Machine Learning Methods'' offers participants practical guidance for applying machine learning techniques for estimating program impacts.

| scope="col" width="125" |English with bilingual materials

| scope="col" width="125" |English with bilingual materials

| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Case Studies II|Session 4 - Agenda and Materials <small>[click here]</small>]]

| scope="col" width="210" |[[QIA Workshop/Machine Learning Methods|Session 4 - Agenda and Materials <small>[click here]</small>]]

 

| scope="col" width="210" |[[QIA Workshop/Research Methods II|Session 5 - Agenda and Materials <small>[click here]</small>]]

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=='''<small>Stay connected</small>'''​==

=='''<small>Stay connected</small>'''​==

*[mailto:dsrd-sdrd@tbs-sct.gc.ca Contact the Data Science, Research and Development unit]

*[mailto:dsrd-sdrd@tbs-sct.gc.ca Contact the Data Science, Research and Development unit]