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Behavioral Economists, Human-Computer Interactions and Research Transparency

Authors: Kweku A. Opoku-Agyemang;

Behavioral Economists, Human-Computer Interactions and Research Transparency

Abstract

I model economists as being themselves behavioral, and not fully rational in how they implement their research. I characterize research results as a network graph of data analyses at the level of human-computer interactions that contain graph copies whenever the economist manifests behavioral shortcomings. Ethical and transparent research emerges as a unique graph. I allow researchers to hold themselves accountable with commitment devices that eliminate behavioral copies of research graphs. In so doing, I introduce a solution to the problem of the so-called garden of forking paths. Applications are based in economic theory and qualitative research for program evaluation design. The field of human-computer interaction has an important role to play in fostering research transparency in economics.

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    influence
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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!
0
Average
Average
Average
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