Arbeitspapier

Conducting interactive experiments online

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.

Language
Englisch

Bibliographic citation
Series: CeDEx Discussion Paper Series ; No. 2017-02

Classification
Wirtschaft
Cooperative Games
Data Collection and Data Estimation Methodology; Computer Programs: Other Computer Software
Design of Experiments: General
Social Choice; Clubs; Committees; Associations
Subject
Experimental methodology
Behavioral research
Internet experiments
Amazon Mechanical Turk
Public goods game
Punishment

Event
Geistige Schöpfung
(who)
Arechar, Antonio A.
Gächter, Simon
Molleman, Lucas
Event
Veröffentlichung
(who)
The University of Nottingham, Centre for Decision Research and Experimental Economics (CeDEx)
(where)
Nottingham
(when)
2017

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Arechar, Antonio A.
  • Gächter, Simon
  • Molleman, Lucas
  • The University of Nottingham, Centre for Decision Research and Experimental Economics (CeDEx)

Time of origin

  • 2017

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