Arbeitspapier
A graphical approximation to generalization: Definitions and diagrams
The fundamental problem of external validity is not to generalize from one experiment, so much as to experimentally test generalizable theories. That is, theories that explain the systematic variation of causal effects across contexts. Here we show how the graphical language of causal diagrams can be used in this endeavour. Specifically we show how generalization is a causal problem, how a causal approach is more robust than a purely predictive one, and how causal diagrams can be adapted to convey partial parametric information about interactions.
- ISBN
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978-92-9230-659-5
- Language
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Englisch
- Bibliographic citation
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Series: WIDER Working Paper ; No. 2013/082
- Classification
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Wirtschaft
Methodological Issues: General
Design of Experiments: Other
- Subject
-
generalized causal inference
external validity
causal diagrams
policy experiments
non-parametric methods
econometric methodology
- Event
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Geistige Schöpfung
- (who)
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Martel García, Fernando
Wantchekon, Leonard
- Event
-
Veröffentlichung
- (who)
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The United Nations University World Institute for Development Economics Research (UNU-WIDER)
- (where)
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Helsinki
- (when)
-
2013
- Handle
- Last update
-
05.03.2025, 11:31 AM CET
Data provider
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Martel García, Fernando
- Wantchekon, Leonard
- The United Nations University World Institute for Development Economics Research (UNU-WIDER)
Time of origin
- 2013
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