IMPLEMENTATION NEUTRALITY AND TREATMENT EVALUATION

Stephen LeRoy

Economics and Philosophy, 2018, vol. 34, issue 1, 45-52

Abstract: Statisticians have proposed formal techniques for evaluation of treatments, often in the context of models that do not explicitly specify how treatments are generated. Under such procedures they run the risk of attributing causation in settings where the implementation neutrality condition required for causal interpretation of parameter estimates is not satisfied. When treatment assignments are explicitly modelled, as economists recommend, these issues can be formally analysed, and the existence (or lack thereof) of implementation neutrality, and therefore quantifiable causation, can be determined. Examples are given.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cup:ecnphi:v:34:y:2018:i:01:p:45-52_00

Access Statistics for this article

More articles in Economics and Philosophy from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().