Conducting interactive experiments online

Antonio A. Arechar (), Simon Gächter and Lucas Molleman ()
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Antonio A. Arechar: Yale University
Lucas Molleman: University of Nottingham

Experimental Economics, 2018, vol. 21, issue 1, No 5, 99-131

Abstract: 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 potentially valuable complement to laboratory studies.

Keywords: Experimental methodology; Behavioral research; Internet experiments; Amazon Mechanical Turk; Public goods game; Punishment (search for similar items in EconPapers)
JEL-codes: C71 C88 C90 D71 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (179)

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Working Paper: Conducting Interactive Experiments Online (2017)
Working Paper: Conducting interactive experiments online (2017)
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DOI: 10.1007/s10683-017-9527-2

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