Artikel
The usefulness of experiments
Non-experimental evaluations of programs compare individuals who choose to participate in a program to individuals who do not. Such comparisons run the risk of conflating non-random selection into the program with its causal effects. By randomly assigning individuals to participate in the program or not, experimental evaluations remove the potential for non-random selection to bias comparisons of participants and non-participants. In so doing, they provide compelling causal evidence of program effects. At the same time, experiments are not a panacea, and require careful design and interpretation.
- Language
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Englisch
- Bibliographic citation
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Journal: IZA World of Labor ; ISSN: 2054-9571 ; Year: 2018 ; Bonn: Institute of Labor Economics (IZA)
- Classification
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Wirtschaft
Model Evaluation, Validation, and Selection
Design of Experiments: General
- Subject
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experiment
random assignment
causality
evaluation
- Event
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Geistige Schöpfung
- (who)
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Smith, Jeffrey A.
- Event
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Veröffentlichung
- (who)
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Institute of Labor Economics (IZA)
- (where)
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Bonn
- (when)
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2018
- DOI
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doi:10.15185/izawol.436
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Smith, Jeffrey A.
- Institute of Labor Economics (IZA)
Time of origin
- 2018
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