Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/161140
Authors: 
Arechar, Antonio A.
Gächter, Simon
Molleman, Lucas
Year of Publication: 
2017
Series/Report no.: 
IZA Discussion Papers 10517
Abstract: 
Online labor markets provide new opportunities for behavioral research, but conducting economic experiments online raises important methodological challenges. This particularly holds for interactive designs. In this paper, we provide a methodological discussion of the similarities and differences between interactive experiments conducted in the laboratory and online. To this end, we conduct a repeated public goods experiment with and without punishment using samples from the laboratory and the online platform Amazon Mechanical Turk. We chose to replicate this experiment because it is long and logistically complex. It therefore provides a good case study for discussing the methodological and practical challenges of online interactive experimentation. We find that basic behavioral patterns of cooperation and punishment in the laboratory are replicable online. The most important challenge of online interactive experiments is participant dropout. We discuss measures for reducing dropout and show that, for our case study, dropouts are exogenous to the experiment. We conclude that data quality for interactive experiments via the Internet is adequate and reliable, making online interactive experimentation a valuable complement to laboratory studies.
Subjects: 
experimental methodology
behavioral research
punishment
internet experiments
Amazon Mechanical Turk
public goods game
JEL: 
C71
C88
C90
D71
Document Type: 
Working Paper

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