Abstract
Does greater knowledge help or hinder one’s ability to coordinate with others? While individual expertise can reveal a suitable focal point to converge on, ‘blissful’ ignorance may systematically bias decisions towards it through mere recognition. Our experiment finds in favour of the former possibility. Both specific and general knowledge are significantly associated with success in four of five coordination problems as well as over all. Our analysis suggests that more knowledgeable participants are better able to identify focal decision alternatives because (1) they are aware of more such alternatives and (2) possess more relevant information about each.
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Notes
Mehta et al. (1994, p. 666, 671) call these “one-ended questions”.
Note that knowledge over imputation may instead be the product of rational Bayesian analysis to the extent that experts draw inferences about the knowledge of others from what they themselves know (see Dawes 1989). We thank the editor for pointing out this alternative account.
The reason is that we wanted to test the effects of different individual knowledge rather than learning in the participant group as a whole. Matching of co-participants’ final answers introduces a confounding element of renewed second guessing that we wanted to avoid.
Selected instructions are provided in the appendix.
At the time of the experiment £1 Sterling traded at 1.65 US$.
These correlations are robust to using only native British or non-British participants.
Kolmogorov–Smirnov and Shapiro–Wilk tests for category coordination in each of the five categories have p ≤ 0.000.
As explained, we used focal category as the dependent variable because of the bimodal distribution of category coordination. To assess whether these results are sensitive for our chosen approach we also performed ordinary least squares regressions for each of the categories with category coordination as the dependent variable. The results also confirm that category knowledge is significant at the 95% level or higher for every category but EUROPE.
We use 20 as a conservative test, thereby excluding roughly one-third of observations. The same results apply for lower values such as 10 and 5. Higher values reduce the sample size too much for meaningful analysis.
Our experiment was not designed to examine the particular considerations participants engage in when trying to coordinate.
References
Abele, S., & Stasser, G. (2008). Coordination success and interpersonal perceptions: Matching versus mismatching. Journal of Personality and Social Psychology, 95(3), 576–592.
Abele, S., Stasser, G., & Chartier, C. (2014). Use of social knowledge in tacit coordination: Social focal points. Organizational Behavior and Human Decision Processes, 123(1), 23–33.
Abramson, B. (2005). Digital phoenix. Cambridge: MIT Press.
Ariely, D., Loewenstein, G., & Prelec, D. (2003). “Coherent arbitrariness”: Stable demand curves without stable preferences. Quarterly Journal of Economics, 118(1), 73–105.
Arthur, W. B. (1989). Competing technologies, increasing returns, and lock-in by historical events. The Economic Journal, 99(394), 116–131.
Biais, B., & Weber, M. (2009). Hindsight bias, risk perception, and investment performance. Management Science, 55(6), 1018–1029.
Birch, S. A. (2005). When knowledge is a curse: Children’s and adults’ reasoning about mental states. Current Directions in Psychological Science, 14(1), 25–29.
Birch, S. A., & Bloom, P. (2007). The curse of knowledge in reasoning about false beliefs. Psy- chological Science, 18(5), 382–386.
Camerer, C., Loewenstein, G., & Weber, M. (1989). The curse of knowledge in economic settings: An experimental analysis. The Journal of Political Economy, 97(5), 1232–1254.
Cartwright, E. (2014). Behavioral economics (2nd ed.). Abingdon: Routledge.
Chuah, S. H., Hoffmann, R., Liu, B., & Tan, M. (2018). Is knowledge cursed when forecasting the forecasts of others? Journal of Behavioral Finance. https://doi.org/10.1080/15427560.2018.1464454.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Earlbaum Associates.
Cooper, R., DeJong, D., Forsythe, R., & Ross, T. (1994). Alternative institutions for resolving co- ordination problems: Experimental evidence on forward induction and preplay communication. In J. W. Friedman (Ed.), Problems of coordination in economic activity. Boston: Kluwer.
Cooper R, John A (1988) Coordinating coordination failures in Keynesian models. The Quarterly Journal of Economics 441–463
Curry, O., & Jones Chesters, M. (2012). Putting ourselves in the other fellow’s shoes: The role of theory of mind in solving coordination problems. Journal of Cognition and Culture, 12(1), 147–159.
Dawes, R. M. (1989). Statistical criteria for establishing a truly false consensus effect. Journal of Experimental Social Psychology, 25(1), 1–17.
Dufwenberg, M., & Gneezy, U. (2005). Gender coordination (pp. 253–262). Boston: Springer.
Fischhoff, B., & Beyth, R. (1975). I knew it would happen: Remembered probabilities of once—future things. Organizational Behavior and Human Performance, 13(1), 1–16.
Fussell S (1992) Coordination of knowledge in communication: effects of speakers’ assumptions about what others know. Journal of Personality and Social Psychology 1–14
Fussell, S., & Krauss, R. M. (1991). Accuracy and bias in estimates of others’ knowledge. Euro- pean Journal of Social Psychology, 21(5), 445–454.
Goldstein, D., & Gigerenzer, G. (1999). The recognition heuristic: How ignorance makes us smart. In G. Gigerenzer & P. Todd (Eds.), Simple heuristics that make us smart (pp. 37–58). Oxford, UK: Oxford University Press.
Goldstein, D., & Gigerenzer, G. (2002). Models of ecological rationality: The recognition heuristic. Psychological Review, 109(1), 75–90.
Hargreaves Heap, S. P., Rojo Arjona, D., & Sugden, R. (2017). Coordination when there are restricted and unrestricted options. Theory and Decision, 83, 107–129.
Harsanyi, J., & Selten, R. (1988). A general theory of equilibrium selection in games. Cambridge: MIT Press.
Hinds, P. J. (1999). The curse of expertise: The effects of expertise and debiasing methods on prediction of novice performance. Journal of Experimental Psychology: Applied, 5(2), 205–221.
Ijiri, Y., & Simon, H. A. (1977). Skew distributions and the sizes of business firms. Amsterdam, Holland: Noth Holland.
Jackson, M. O., & Xing, Y. (2014). Culture-dependent strategies in coordination games. Proceedings of the National Academy of Sciences, 111(3), 10889–10896.
Janssen, M. (1998). Focal points. In P. Newman (Ed.), The New Palgrave Dictionary of Economics and the Law (pp. 150–155). Basingstoke: Palgrave.
Kandori, M., Mailath, G. J., & Rob, R. (1993). Learning, mutation, and long-run equilibria in games. Econometrica, 61(1), 29–56.
Krauss, R. M., & Fussell, S. (1991). Perspective-taking in communication: Representations of others’ knowledge in reference. Social Cognition, 9(1), 2–24.
Larkin, J., McDermott, J., Simon, D. P., & Simon, H. A. (1980). Expert and novice performance in solving physics problems. Science, 208(4450), 1335–1342. https://doi.org/10.1126/science.208.4450.1335.
Mehta, J., Starmer, C., & Sugden, R. (1994). Focal points in pure coordination games: an experimental investigation. Theory and Decision, 36, 163–185.
Nickerson, R. S. (1999). How we know—and sometimes misjudge—what others know: Imputing one’s own knowledge to others. Psychological Bulletin, 125(6), 737–759.
Nickerson, R. S., Baddeley, A., & Freeman, B. (1987). Are people’s estimates of what other people know influenced by what they themselves know? Acta Psychologica, 64(3), 245–259.
Pachur, T., Todd, P. M., Gigerenzer, G., Schooler, L. J., & Goldstein, D. G. (2016). When is the recognition heuristic an adaptive tool? In P. M. Todd, G. Gigerenzer, & the ABC Research Group (Eds.), Ecological rationality (pp. 113–143). Oxford: Oxford Press.
Rubinstein, A. (2000). Economics and language. Cambridge: Cambridge University Press.
Schelling, T. (1960). The strategy of conflict. Cambridge, MA: Harvard University Press.
Selten, R. (1998). Axiomatic characterization of the quadratic scoring rule. Experimental Economics, 1(1), 43–61.
Shapiro, C., & Varian, H. R. (1999). The art of standards wars. California Management Review, 41(1), 8–32.
Shipley, W. C. (1940). A self-administering scale for measuring intellectual impairment and deterioration. Journal of Psychology, 9, 371–377.
Sugden, R. (1989). Spontaneous order. The Journal of Economic Perspectives, 3(4), 85–97.
Sugden, R. (1995). A theory of focal points. Economic Journal, 105(430), 533–550.
Thomas, K. A., DeScioli, P., Haque, O. S., & Pinker, S. (2014). The psychology of coordination and common knowledge. Journal of Personality and Social Psychology, 107(4), 657–676.
Van Huyck, J., Battalio, R., & Beil, R. (1990). Tacit coordination games, strategic uncertainty, and coordination failure. American Economic Review, 80, 234–248.
Zipf, K. G. (Ed.). (1949). Human Behaviour and the Principle of Least-Effort. Cambridge, MA: Addison-Wesley.
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Appendix: Experimental instructions
Appendix: Experimental instructions
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Coordination question
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Name one [category]. Your objective is to give the same answer as your co- participant. If this is the category randomly chosen for payment, you will earn
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£10 if your answer is the same as your co-participant’s. You are free to choose any valid item of the category as your answer for each question. However, if you do not give an answer or if you give more than one answer or if your answer is invalid or incorrect or unclear, you will not earn any money for the question.
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Information Question
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You will now be asked to provide all the possible correct answers to the 5 categories. One of the categories will be chosen at random for payment. For that chosen category, you will earn £0.50 for each correct answer you provide. To be correct, your answer must be valid (a valid member of that category) and clear (not ambiguous). For each wrong answer you provide, you will lose
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£0.50. The lowest you can earn for each category is £0 (i.e., you will not face negative earnings). To maximise your earnings, you should provide as many correct answers as you can. For example, say the chosen category was London Airports, and you provide the following answers: Heathrow, Stansted, Gatwick, Luton and East Midlands. You will receive £2 for 4 correct answers (£0.50 ×4). East Midlands is a wrong answer and you will lose £0.50 for this 1 wrong answer. So your total earnings for this category will be £1.50.You may answer in any order you wish, but you must finish within 15 min, after which this document will be collected from you.
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Strategy change question
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Now that you have seen the complete list of correct answers for each of the 5 categories, we want to give you this opportunity to change your answers. For each question below, please now indicate if you would like to change your an- swer. If so, please write down your new answer. Your new answer will be used instead of your original answer to be matched against your co-participant’s original answer.
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Academic performance question
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In which degree class is your current average across all modules taken so far at University (first class, second class (upper), second class (lower), third class or pass)?
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General knowledge question
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Say you were to participate in a general knowledge quiz competition. When compared to the other participants in this experiment, how well do you think you would perform in such a quiz, on a scale of 1–10 (with 10 being well-above average performance)?
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Chuah, SH., Hoffmann, R. & Larner, J. Is knowledge curse or blessing in pure coordination problems?. Theory Decis 87, 123–146 (2019). https://doi.org/10.1007/s11238-019-09692-w
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DOI: https://doi.org/10.1007/s11238-019-09692-w