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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1093/oxford...
Part of book or chapter of book . 2009 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1093/oxford...
Part of book or chapter of book . 2013 . Peer-reviewed
Data sources: Crossref
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Field Experiments and Natural Experiments

Authors: Donald P. Green; Alan S. Gerber;

Field Experiments and Natural Experiments

Abstract

AbstractThis article evaluates the strengths and limitations of field experimentation. It first defines field experimentation and describes the many forms that field experiments take. It also interprets the growth and development of field experimentation. It then discusses why experiments are valuable for causal inference. The assumptions of experimental and nonexperimental inference are distinguished, noting that the value accorded to observational research is often inflated by misleading reporting conventions. The article elaborates on the study of natural experiments and discontinuities as alternatives to both randomized interventions and conventional nonexperimental research. Finally, it outlines a list of methodological issues that arise commonly in connection with experimental design and analysis: the role of covariates, planned vs. unplanned comparisons, and extrapolation. It concludes by dealing with the ways in which field experimentation is reshaping the field of political methodology.

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    88
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
88
Top 10%
Top 10%
Top 10%
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