Beyond the average effect of the innovation subsidies: Using case selection via matching to break impasse in delivering useful advice to policy makers.
Eval Program Plann
; 104: 102429, 2024 Jun.
Article
in En
| MEDLINE
| ID: mdl-38583278
ABSTRACT
Experts and stakeholders promote the combined use of counterfactual and theory-based approaches in program evaluation. We illustrated combined application of these two approaches in a single evaluation study of innovation subsidies, using "case selection via matching" and follow-up in-depth interviews. We conducted interviews in contrasting pairs of companies-one successful and one unsuccessful-which were otherwise similar on a defined set of covariates. Our procedure helped to reveal factors, which might be overlooked or simply not available in data at hand and hence not accounted for in analyses of the intervention effects. As such it extends beyond the average effect estimate to highlight causes of an intervention success or failure.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Program Evaluation
/
Interviews as Topic
Limits:
Humans
Language:
En
Journal:
Eval Program Plann
/
Eval. program plan. (Online)
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Evaluation and program planning (Online)
Year:
2024
Document type:
Article
Country of publication: