Skip to main content
Log in

The effect of high-stakes testing on suicidal ideation of teenagers with reference-dependent preferences

  • Original Paper
  • Published:
Journal of Population Economics Aims and scope Submit manuscript

Abstract

This paper offers a novel explanation for why even high-performing individuals may have a high suicidal tendency when preferences are reference-dependent. Using survey data of South Korean secondary school students, this paper demonstrates that the relationship between suicidal ideation and test performance is consistent with the reference-dependent explanation. When a student’s rank in the high-stakes College Scholastic Ability Test falls below her expectation, she exhibits a higher likelihood of having suicidal ideation. The findings highlight the potentially adverse consequences of disappointment in high-stakes testing and suggest that the risk of suicide may be significant among high achievers too.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. Some other papers show no or negative effects of testing on various outcome measures. For example, Muralidharan and Sundararaman (2010) find no evidence that low-stakes diagnostic testing improves students’ academic performance in India. Glewwe et al. (2010), Figlio and Winicki (2005), and Jacob and Levitt (2003) show that the presence of high-stakes testing leads to perverse practices among teachers and schools.

  2. Lamielle (1981, p. 281) makes a similar point in discussing the “idiothetic” psychology of personality. He argues that individuals evaluate their performance “not in terms of what others do, but in terms of what themselves tend not to do but could do.”

  3. The study of the demographic, social, and economic determinants of suicide dates back to Emile Durkheim’s Suicide in 1897.

  4. See Koszegi and Rabin (2006) for a discussion on stochastic or anticipated reference points.

  5. In this alternative case of attempted suicide, W min may be greater than that in the case of actual suicide.

  6. The data are available at the National Youth Policy Institute’s (NYPI) Youth and Children data archive: http://e-archive.nypi.re.kr/.

  7. The CSAT was held on November 15, 2007 and the survey was conducted after the students took the CSAT and before December 22, 2007.

  8. The students reported only their CSAT digit scores, which range from 1 to 9, where 1 is the highest score.

  9. The Korea Institute for Curriculum and Evaluation (KICE), which administers the CSAT, kindly provided the data.

  10. I find that among all the students sampled in wave 1, those who responded to wave 5 and reported their CSAT performance in wave 6 tend to have more educated parents and better past in-school performance.

  11. Any reference points constructed on the basis of this predictive model would likely limit the role of misreporting (the CSAT scores) in explaining the results. Specifically, if depressed students are more likely to under-report and optimistically happy students are more likely to over-report their CSAT performance, the variation in the CSAT scores may capture the variation in suicidal ideation that is not driven by disappointment in the CSAT performance. If the characteristics of the students included on the right-hand side of this predictive model are highly correlated with optimistic attitude, the misreporting errors would be differenced out when computing the test performance deviations from the reference points.

  12. The main results reported in Table 3 remain similar when the indicator of parental expectation is included as a control variable.

References

  • Ahn S-Y, Baek H-J (2013) Academic achievement-oriented society and its relationship to the psychological well-being of Korean adolescents. In: Yi CC (ed) The psychological well-being of East Asian youth, quality of life in Asia, pp 265–279. doi:10.1007/978-94-007-4081-5_13

  • Alaraisanen A, Miettunen J, Lauronen E, Rasanen P, Isohanni M (2006) Good school performance is a risk factor of suicide in psychoses: a 35-year follow up of the Northern Finland 1966 birth cohort. Acta Psychiatr Scand 114(5):357–362

    Article  Google Scholar 

  • Baumeister RF (1990) Suicide as escape from self. Psychol Rev 97(1):90–113

    Article  Google Scholar 

  • Bjarnason T, Thorlindsson T (1994) Manifest predictors of past suicide attempts in a population of Icelandic adolescents. SUICIDE LIFE-THREAT 24(4):350-358

  • Betts JR, Hahn Y, Zau AC (2011) Does diagnostic-math testing improve student learning? Public Policy Institute of California, San Francisco

    Google Scholar 

  • Bishop JH (1998) The effect of curriculum-based external exit exam systems on student achievement. J Econ Educ 29(2):171–182

    Article  Google Scholar 

  • Braaten LJ, Darling CD (1962) Suicidal tendencies among college students. Psychiatr Q 36(1–4):665–692

    Article  Google Scholar 

  • Bridge JA, Goldstein TR, Brent DA (2006) Adolescent suicide and suicidal behavior. J Child Psychol Psychiatry 47(3–4):372–394

    Article  Google Scholar 

  • Byun S, Kim K (2010) Educational inequality in South Korea: The widening socioeconomic gap in student achievement. Res Sociol Educ 17:155-182

  • Camerer C, Babcock L, Loewenstein G, Thaler R (1997) Labor supply of New York City cabdrivers: one day at a time. Q J Econ 112(2):407–441

    Article  Google Scholar 

  • Card D, Dahl G (2011) Family violence and football: the effect of unexpected emotional cues on violent behavior. Q J Econ 126(1):103–143

    Article  Google Scholar 

  • Centers for Disease Control and Prevention (CDC) (2008) Youth risk behavior surveillance—United States, 2007. MMWR. Morbidity and mortality weekly reports. Retrieved from http://www.cdc.gov/mmwr/PDF/ss/ss5704.pdf. Accessed 31 Aug 2012

  • Crawford VP, Meng J (2011) New York City cab drivers’ labor supply revisited: reference-dependent preferences with rational expectations targets for hours and income. Am Econ Rev 101(5):1912–1932

    Article  Google Scholar 

  • Cutler DM, Glaeser EL, Norberg KE (2001) Explaining the rise in youth suicide, NBER chapters. In: Risky behavior among youths: an economic analysis. National Bureau of Economic Research, 219–270, University of Chicago Press, Chicago

  • Dubow EF, Kausch DF, Blum MC, Reed J, Bush E (1989) Correlates of suicidal ideation and attempts in a community sample of junior high and high school students. J Clin Child Psychol 18(2):158–166

    Article  Google Scholar 

  • Durkheim E (1897) Suicide, 1996th edn. Macmillan, New York

    Google Scholar 

  • Eckersley R, Dear K (2002) Cultural correlates of youth suicide. Soc Sci Med 55(11):1891-1904

  • Farber HS (2005) Is tomorrow another day? The labor supply of New York City cabdrivers. J Polit Econ 113(1):46–82

    Article  Google Scholar 

  • Farber HS (2008) Reference-dependent preferences and labor supply: the case of New York City taxi drivers. Am Econ Rev 98(3):1069–1082

    Article  Google Scholar 

  • Figlio DN, Winicki J (2005) Food for thought: the effects of school accountability plans on school nutrition. J Public Econ 89(2):381–394

    Article  Google Scholar 

  • Glewwe P, Ilias N, Kremer M (2010) Teacher incentives. Am Econ J Appl Econ 2(3):205–227

    Article  Google Scholar 

  • Goldsmith SK, Pellmar TC, Kleinman AM, Bunney WE (2002) Reducing suicide: a national imperative. National Academies Press, Washington DC

    Google Scholar 

  • Gunnell D, Magnusson PKE, Rasmussen F (2005) Low intelligence test scores in 18 year old men and risk of suicide: cohort study. Br Med J 330(7484):167–170

    Article  Google Scholar 

  • Hamermesh DS, Soss NM (1974) An economic theory of suicide. J Polit Econ 82(1):83–98

    Article  Google Scholar 

  • Hendin H (1982) Suicide in America. Norton, New York

    Google Scholar 

  • Jacob BA, Levitt SD (2003) Rotten apples: an investigation of the prevalence and predictors of teaching cheating. Q J Econ 118(3):843–877

    Article  Google Scholar 

  • Kahneman D, Tversky A (1979) Prospect theory: an analysis of decision under risk. Econometrica 47(2):263–291

    Article  Google Scholar 

  • Kim T, Lee J, Lee Y (2008) Mixing versus sorting in schooling: evidence from the equalization policy in South Korea. Econ Educ Rev 27:697–711

    Article  Google Scholar 

  • Kim S, Lee J (2010) Private tutoring and demand for education in South Korea. ECON DEV CULT CHANGE 58(2):259-296

  • Kim K, Kim G, Kim S, Kim J, Kim J Park J (2010) OECD Review on evaluation and assessment frameworks for improving school outcomes – Country Background Report for Korea, Korean Educational Development Institute

  • Koszegi B, Rabin M (2006) A model of reference-dependent preferences. Q J Econ 121(4):1133–1165

    Google Scholar 

  • Lamielle JT (1981) Toward an idiothetic psychology of personality. Am Psychol 36(3):276–289

    Article  Google Scholar 

  • Martin MO, Mullis IVS, Foy P (with Olson, JF, Erberber, E, Preuschoff, C, Galia, J) (2008) TIMSS 2007 International Science Report. TIMSS & PIRLS International Study Center, Boston College, Massachusetts

  • Mullis IVS, Martin MO, Foy P (with Olson JF, Preuschoff C, Erberber E, Arora A, Galia J) (2008) TIMSS 2007 International Mathematics Report. TIMSS & PIRLS International Study Center, Boston College, Massachusetts

  • Muralidharan K, Sundararaman V (2010) The impact of diagnostic feedback to teachers on student learning: experimental evidence from India. Econ J 120(546):F187–F203

    Article  Google Scholar 

  • Park HS, Schepp KG, Jang EH, Koo HY (2006) Predictors of suicidal ideation among high school students by gender in South Korea. J Sch Health 76(5):181–188. doi:10.1111/j.1746-1561.2006.00092.x

    Article  Google Scholar 

  • Patton GC et al (2009) Global patterns of mortality in young people: a systematic analysis of population health data. Lancet 374(9693):881–892. doi:10.1016/S0140-6736(09)60741-8

    Article  Google Scholar 

  • Roderick M, Jacob BA, Bryk AS (2002) The impact of high-stakes testing in Chicago on student achievement in promotional gate grades. Educ Eval Policy Anal 24(4):333–357

    Article  Google Scholar 

  • Rosenthal RW (1993) Suicide attempts and signaling games. Math Soc Sci 26:25–33

    Article  Google Scholar 

  • Tversky A, Kahneman D (1991) Loss aversion in riskless choice: a reference-dependent model. Q J Econ 106(4):1039–1061

    Article  Google Scholar 

  • Wang LC (2015) All work and no play? The effects of ability sorting on students’ non-school inputs, time use, and grade anxiety. Econ Educ Rev 44:29–41

    Article  Google Scholar 

  • Wasserman D, Cheng Q, Jiang G (2005) Global suicide rates among young people aged 15–19. World Psychiatry 4(2):114–120

    Google Scholar 

  • World Health Organization (2012) WHO mortality database. Retrieved from http://www.who.int/healthinfo/mortality_data/en/. Accessed 7 Sept 2012

Download references

Acknowledgments

I am grateful to Birendra Rai, Russell Smyth, and anonymous referees for their constructive comments and suggestions that significantly improved the paper. I also thank Youjin Hahn, Jeff LaFrance, Anmol Ratan, Christis Tombazos, Michael Ward, and seminar participants at Monash University for helpful comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Liang Choon Wang.

Additional information

Responsible editor: Alessandro Cigno

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, L.C. The effect of high-stakes testing on suicidal ideation of teenagers with reference-dependent preferences. J Popul Econ 29, 345–364 (2016). https://doi.org/10.1007/s00148-015-0575-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00148-015-0575-7

Keywords

JEL classification

Navigation