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The unnoticed influence of peers on educational preferences

  • SIMON CALMAR ANDERSEN (a1) and MORTEN HJORTSKOV (a1)

Abstract

Some of the most important decisions young people make are choices about education. Yet recent research shows that educational decisions are poorly explained by classical models of human capital investments: adolescents do not always choose what would best optimize their long-term net outcomes. Instead, students have been shown to be influenced by their current group of peers at the time when they make educational decisions. We expand on existing models by showing that students’ stated educational preferences can be influenced by simply priming them with their peers’ preferences. Further, we show that students are unaware of this peer influence in the sense that: (1) they claim that peers have no influence; (2) in a conjoint experiment, they do not select educations based on peers’ assessments; and (3) in a list experiment absent of any social desirability bias, they do not ascribe any influence to their peers either. All in all, the results show that young people are unwittingly influenced by their peers. These results have important implications for public policies aimed at encouraging young people to make more deliberate and informed educational choices.

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Copyright

Corresponding author

*Correspondence to: Simon Calmar Andersen, Department of Political Science and TrygFondens Centre for Child Research, Aarhus University, Aarhus, Denmark. Email: sca@ps.au.dk

References

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Albert, D., Chein, J. and Steinberg, L. (2013), ‘The Teenage Brain: Peer Influences on Adolescent Decision Making’, Current directions in psychological science, 22(2): 114120.
Andersen, S. C. and Hjortskov, M. (2016), ‘Cognitive Biases in Performance Evaluations’, Journal of Public Administration Research and Theory, 26(4): 647662. doi: 10.1093/jopart/muv036.
Austen-Smith, D. and Fryer, R. G. (2005), ‘An Economic Analysis of “Acting White”’, The Quarterly Journal of Economics, 120(2): 551583.
Autor, D. H. (2014), ‘Skills, education, and the rise of earnings inequality among the “other 99 percent”’, Science, 344(6186): 843851.
Barone, C. et al. (2017), ‘Information Barriers, Social Inequality, and Plans for Higher Education: Evidence from a Field Experiment’, European Sociological Review, 33(1): 8496.
Becker, G. S. (1964), Human Capital: A theoretical and empirical analysis, with special reference to education, Chicago: University of Chicago Press.
Ben-Porath, Y. (1967), ‘The production of human capital and the life cycle of earnings’, The Journal of Political Economy, pp. 352365.
Bettinger, E. P. et al. (2012), ‘The role of application assistance and information in college decisions: Results from the h&r block fafsa experiment*’, The Quarterly Journal of Economics, 127(3): 12051242.
Blair, G. and Imai, K. (2012), ‘Statistical Analysis of List Experiments’, Political Analysis, 20(1): 4777. doi: 10.1093/pan/mpr048.
Buckles, K. et al. (2016), ‘The effect of college education on mortality’, Journal of Health Economics, 50, pp. 99114.
Bursztyn, L. and Jensen, R. (2015), ‘How Does Peer Pressure Affect Educational Investments?’, The Quarterly Journal of Economics, 130(3): 13291367.
Bursztyn, L. and Jensen, R. (2017), ‘Social Image and Economic Behavior in the Field: Identifying, Understanding, and Shaping Social Pressure’, Annual Review of Economics, 9(1): 131153.
Carbonaro, W. and Workman, J. (2016), ‘Intermediate peer contexts and educational outcomes: Do the friends of students’ friends matter?’, Social Science Research, 58, pp. 184197.
Casey, B. J., Jones, R. M. and Somerville, L. H. (2011), ‘Braking and Accelerating of the Adolescent Brain’, Journal of Research on Adolescence, 21(1): 2133.
Castleman, B. L., Page, L. C. and Schooley, K. (2014), ‘The Forgotten Summer: Does the Offer of College Counseling After High School Mitigate Summer Melt Among College-Intending, Low-Income High School Graduates?’, Journal of Policy Analysis and Management, 33(2): 320344.
De Giorgi, G., Pellizzari, M. and Redaelli, S. (2010), ‘Identification of Social Interactions through Partially Overlapping Peer Groups’, American Economic Journal: Applied Economics, 2(2): 241275.
Ecker, U. K. H. et al. (2011), ‘Correcting false information in memory: Manipulating the strength of misinformation encoding and its retraction’, Psychonomic Bulletin & Review, 18(3): 570578.
Egan, K. K. et al. (2017), Rygevaner blandt gymnasie- og erhversskoleelever. [Smoking habits among high school and vocational school students], Statens Institut for Folkesundhed: SDU, pp. 1–42. Available at: https://www.sdu.dk:443/da/sif/rapporter/2017/rygevaner_blandt_gymnasie_og_erhversskoleelever (Accessed: 29 December 2018).
Fazio, R. H. and Olson, M. A. (2014), ‘The MODE model: Attitude–behavior processes as a function of motivation and opportunity’, in Sherman, J. W., Gawronski, B. and Trope, Y. (eds), Dual process theories of the social mind, 155171.
Fletcher, J. M. (2015), ‘Social interactions and college enrollment: A combined school fixed effects/instrumental variables approach’, Social Science Research, 52, pp. 494507.
Flynn, D. J., Nyhan, B. and Reifler, J. (2017), ‘The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs About Politics’, Political Psychology, 38(S1): 127150.
Glynn, A. N. (2013), ‘What Can We Learn with Statistical Truth Serum? Design and Analysis of the List Experiment’, Public Opinion Quarterly, 77(S1): 159172.
Hainmueller, J., Hopkins, D. J. and Yamamoto, T. (2014), ‘Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments’, Political Analysis, 22(1): 130.
Haller, A. O. and Butterworth, C. E. (1960), ‘Peer Influences on Levels of Occupational and Educational Aspiration’, Social Forces, 38(4): 289295.
Henry, D. B., Kobus, K. and Schoeny, M. E. (2011), ‘Accuracy and bias in adolescents’ perceptions of friends’ substance use’, Psychology of Addictive Behaviors: Journal of the Society of Psychologists in Addictive Behaviors, 25(1): 8089.
Higgins, E. T. (1996), ‘Knowledge activation: Accessibility, applicability, and salience’, in Higgins, E. T. and Kruglanski, A. W (eds), Social Psychology. Handbook of Basic Principles, New York, NY: Guilford Press, 133168.
Hjortskov, M. (2017), ‘Priming and Context Effects in Citizen Satisfaction Surveys’, Public Administration, 95(4): 912926.
Kahneman, D. (2011), Thinking, Fast and Slow, 1 edition, New York: Farrar, Straus and Giroux.
Kahneman, D. and Frederick, S. (2002), ‘Representativeness revisited: Attribute substitution in intuitive judgment’, in Heuristics and biases: The psychology of intuitive judgment, Cambridge: Cambridge University Press, 4981.
Keane, M. P., Todd, P. E. and Wolpin, K. I. (2011), ‘Chapter 4 - The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications’, in Ashenfelter, O. and Card, D. (eds), Handbook of Labor Economics. Elsevier (Handbooks in Economics), 331461.
Keane, M. P. and Wolpin, K. I. (1997), ‘The Career Decisions of Young Men’, Journal of Political Economy, 105(3): 473522.
Lafortune, J. (2013), ‘Making Yourself Attractive: Pre-marital Investments and the Returns to Education in the Marriage Market’, American Economic Journal: Applied Economics, 5(2): 151178.
Lochner, L. (2011), ‘Nonproduction Benefits of Education: Crime, Health, and Good Citizenship’, Handbook of the Economics of Education. (Handbook of The Economics of Education), 4, pp. 183282.
Marks, G. and Miller, N. (1987), ‘Ten years of research on the false-consensus effect: An empirical and theoretical review.’, Psychological Bulletin, 102(1): p. 72.
Mincer, J. (1958), ‘Investment in human capital and personal income distribution’, The journal of political economy, pp. 281302.
Nielsen, P. A. (2014), ‘Learning from Performance Feedback: Performance Information, Aspiration Levels, and Managerial Priorities’, Public Administration, 92(1): 142160.
Nizalova, O. Y. and Murtazashvili, I. (2016), ‘Exogenous Treatment and Endogenous Factors: Vanishing of Omitted Variable Bias on the Interaction Term’, Journal of Econometric Methods, 5(1): 7177.
Nyhan, B. and Reifler, J. (2010), ‘When Corrections Fail: The Persistence of Political Misperceptions’, Political Behavior, 32(2): 303330.
O'Brien, L. et al. (2011), ‘Adolescents prefer more immediate rewards when in the presence of their peers’, Journal of Research on adolescence, 21(4): 747753.
Page, L. C. and Scott-Clayton, J. (2016), ‘Improving college access in the United States: Barriers and policy responses’, Economics of Education Review. (Access to Higher Education), 51, pp. 422.
Pihl, M. D. and Jensen, T. L. (2015), Se hvor meget din uddannelse er værd for dig og samfundet, [See how much your education is worth for you and for society]. København: Arbejderbevægelsens Erhvervsråd, 112. Available at: https://www.ae.dk/analyser/se-hvor-meget-din-uddannelse-er-vaerd-for-dig-og-samfundet.
Rosen, S. (1977), ‘Human capital: A survey of empirical research’, in Ehrenberg, R. G (ed.), Research in Labor Economics, Greenwich, CT: JAI Press, 339.
Rosenqvist, E. (2018), ‘Two Functions of Peer Influence on Upper-secondary Education Application Behavior’, Sociology of Education, 91(1): 7289.
Ross, L., Greene, D. and House, P. (1977), ‘The “false consensus effect”: An egocentric bias in social perception and attribution processes’, Journal of experimental social psychology, 13(3): 279301.
Schwarz, N. et al. (1991), ‘Ease of retrieval as information: Another look at the availability heuristic.’, Journal of Personality and Social psychology, 61(2): p. 195.
Skov, P. R. (2016), The Company You Keep:: The Effects of Peers and Disruptive Behavior on Educational Achievement and Choice of Education. PhD Thesis. Sociologisk Institut, Københavns Universitet. Available at: http://www.forskningsdatabasen.dk/en/catalog/2353729030 (Accessed: 8 June 2018).
Sniderman, P. M. (2011), ‘The Logic and Design of the Survey Experiment: An Autobiography of a Methodological Innovation’, in Cambridge Handbook of Experimental Political Science, New York: Cambridge University Press, 102115.
Stanovich, K. E. (1999), Who Is Rational?: Studies of individual Differences in Reasoning. Mahwah, N.J: Psychology Press.
Stanovich, K. E. and West, R. F. (2000), ‘Advancing the rationality debate’, Behavioral and brain sciences, 23(05): 701717.
Steinberg, L. (2008), ‘A social neuroscience perspective on adolescent risk-taking’, Developmental review, 28(1): 78106.
Steinberg, L. et al. (2009), ‘Age Differences in Future Orientation and Delay Discounting’, Child Development, 80(1): 2844.
Steinberg, L. and Monahan, K. C. (2007), ‘Age differences in resistance to peer influence.’, Developmental Psychology, 43(6): 15311543.
Tversky, A. and Kahneman, D. (1973), ‘Availability: A heuristic for judging frequency and probability’, Cognitive Psychology, 5(2): 207232.
Undervisningsministeriet (2018), Elever i 10. klasse i skoleåret 2017/18. Notat. [Students in 10th grade in the school year of 2017/18]. København: Styrelsen for IT og læring, pp. 1–3. Available at: https://www.uvm.dk/-/media/filer/uvm/udd/folke/pdf18/nov/181106notat---elever-i-10--klasse-2017-18.pdf?la=da (Accessed: 15 February 2019).
Weigard, A. et al. (2014), ‘Effects of anonymous peer observation on adolescents’ preference for immediate rewards’, Developmental Science, 17(1): 7178.
Willis, R. J. and Rosen, S. (1979), ‘Education and Self-Selection’, Journal of Political Economy, 87(5): S7S36.
Wolfson, S. (2000), ‘Students’ estimates of the prevalence of drug use: evidence for a false consensus effect’, Psychology of Addictive Behaviors: Journal of the Society of Psychologists in Addictive Behaviors, 14(3): 295298.
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The unnoticed influence of peers on educational preferences

  • SIMON CALMAR ANDERSEN (a1) and MORTEN HJORTSKOV (a1)

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