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[[Atelier sur l'évaluation quantitative de l'impact|[Français]]]
 
[[Atelier sur l'évaluation quantitative de l'impact|[Français]]]
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[[File:QIA GCwiki Header (EN).png|frameless|1269x1269px]]
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[[File:SRN GCwiki (English).png|alt=|frameless|1269x1269px]]
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='''Quantitative Impact Assessment (QIA) Workshop (2024)'''=
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='''Business Innovation and Growth Support (BIGS) Strategic Research Network'''=
 
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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.
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| scope="col" width="1200" |The Business Innovation and Growth Support (BIGS) Strategic Research Network (SRN) is an advisory body that promotes research collaboration within the Government of Canada’s BIGS program community.
 
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| scope="col" width="80" |'''March 19'''
 
| scope="col" width="80" |'''March 19'''
| scope="col" width="115" |9am-12pm (ET)
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| scope="col" width="115" |1:00pm-3:00pm (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'' 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="125" |English with bilingual materials
 
| scope="col" width="125" |English with bilingual materials
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| 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" |[[Quantitative Impact Assessment Workshop/Case Studies I|Session 3 - Agenda and Materials <small>[click here]</small>]]
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=='''<small>Session 4 - Case Studies II</small>'''==
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| scope="col" width="80" |'''March 28'''
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| scope="col" width="115" |9am-12pm (ET)
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| 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.
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| scope="col" width="125" |English with bilingual materials
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| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Case Studies II|Session 4 - Agenda and Materials <small>[click here]</small>]]
 
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