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The efficiency of market-assisted choice: an experimental analysis of mobile phone connection service recommendations

Published online by Cambridge University Press:  10 April 2017

PETER E. EARL ,
LANA FRIESEN  and
CHRISTOPHER SHADFORTH
PETER E. EARL*
Affiliation:
School of Economics, University of Queensland, St Lucia, QLD4072, Australia
LANA FRIESEN
Affiliation:
School of Economics, University of Queensland, St Lucia, QLD4072, Australia
CHRISTOPHER SHADFORTH
Affiliation:
School of Economics, University of Queensland, St Lucia, QLD4072, Australia
*
*Email: [email protected]
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Abstract

This paper reports an experiment in which participants were allowed an hour to find the cheapest mobile phone plan for a specific usage remit and were given either (a) access to an offline archive of provider websites or (b) access to the Internet. They were required to think aloud, and recordings were made of what they said and what transpired on their computer screens. Access to comparison sites and other market institutions resulted in significantly cheaper plans being selected on average. Within the group of online subjects, excess costs of recommended plans were inversely related to the time spent using market institutions. Although the designs of comparison websites sometimes hampered decision making, outcomes were generally enhanced by the ability to use these online market institutions.

Type
Research Article
Information
Journal of Institutional Economics , Volume 13 , Issue 4 , December 2017 , pp. 849 - 873
Copyright
Copyright © Millennium Economics Ltd 2017 

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References

ACMA (Australian Communications and Media Authority) (2012) Telecommunications Consumer Protection Code, C628: 2012, Communications Alliance Ltd, available online at https://www.commsalliance.com.au/__data/assets/pdf_file/0017/33128/TCP-C628_2012_May2012-Corrected-July12.pdf (accessed 10 March 2017).Google Scholar
Akerlof, G. A. and Shiller, R. J. (2015). Phishing for Phools: The Economics of Manipulation and Deception. Princeton, NJ and Oxford: Princeton University Press.CrossRefGoogle Scholar
Christandl, F. and Fetchenhauer, D. (2009). How laypeople and experts misperceive the effect of economic growth. Journal of Economic Psychology, 30 (3), 381–92.CrossRefGoogle Scholar
Conover, W. J. (1999). Practical Nonparametric Statistics. New York: Wiley (3rd edition).Google Scholar
Ericsson, K. A. and Simon, H. A. (1993). Protocol Analysis: Verbal Reports as Data (revised edition). Cambridge, MA: MIT Press.Google Scholar
Greiner, B. (2015). Subject pool recruitment procedures: Organizing experiments with ORSEE. Journal of the Economic Science Association, 1 (1), 114–25.Google Scholar
Hanson, J. D. and Kysar, D. A. (1999a). Taking behavioralism seriously: The problem of market manipulation. New York University Law Review, 74 (3), 630–749.Google Scholar
Hanson, J. D. and Kysar, D. A. (1999b). Taking behavioralism seriously: Some evidence of market manipulation. Harvard Law Review, 112 (7), 1420–572.CrossRefGoogle ScholarPubMed
Highhouse, S. (1994). A verbal protocol analysis of choice under ambiguity. Journal of Economic Psychology, 15 (4), 621–35.Google Scholar
Hodgson, G. M. (1988). Economics and Institutions: A Manifesto for a Modern Institutional Economics. Cambridge: Polity Press.Google Scholar
Macmillan, P. J. (2015). Thinking like an Expert Lawyer: Measuring Specialist Legal Expertise through Think-Aloud Problem Solving and Verbal Protocol Analysis (Doctoral thesis), Bond University, Queensland, Australia.Google Scholar
Payne, J. W., Bettman, J. R. and Johnson, E. J. (1993). The Adaptive Decision Maker. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Ranyard, R., Hinkle, L., Williamson, J. and McHugh, S. (2006). The role of mental accounting in consumer credit decision processes. Journal of Economic Psychology, 27 (4), 571–88.Google Scholar
Schkade, D. A. and Payne, J. W. (1994). How people respond to contingent valuation questions: A verbal protocol analysis of willingness to pay. Journal of Environmental Economics and Management, 26 (1), 88–109.Google Scholar
Schulte-Mecklienbeck, M., Kuhberger, A. and Ranyard, R. (eds) (2011). A Handbook of Process Tracing Methods for Decision Research. Hove and New York: Psychology Press.Google Scholar
Smith, V. L. (1991). Papers in Experimental Economics. Cambridge: Cambridge University Press.Google Scholar
Trickett, S. and Trafton, J. G. (2008). A primer on verbal protocol analysis. In Cohn, J. V., Schmorrow, D. and Nicholson, D. (eds), The PSI Handbook of Virtual Environments for Training and Education: Developments for the Military and Beyond. Westport, CT: Praeger, pp. 332–46.Google Scholar
Van Osch, S. M. C. and Stiggelbout, A. M. (2008). The construction of standard gamble utilities. Health Economics, 17 (1), 31–40.CrossRefGoogle ScholarPubMed