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You're invited – RSVP! The role of tailoring in incentivising people to delve into their pension situation

Published online by Cambridge University Press:  21 July 2020

Milena Dinkova ,
Sanne Elling ,
Adriaan Kalwij  and
Leo Lentz
Milena Dinkova*
Affiliation:
Departments of Economics and Humanities, Utrecht University, Utrecht, The Netherlands Network for Studies on Pensions, Aging and Retirement (Netspar), Tilburg, The Netherlands CPB Netherlands Bureau for Economic Policy Analysis, The Hague, The Netherlands
Sanne Elling
Affiliation:
Departments of Economics and Humanities, Utrecht University, Utrecht, The Netherlands Network for Studies on Pensions, Aging and Retirement (Netspar), Tilburg, The Netherlands
Adriaan Kalwij
Affiliation:
Departments of Economics and Humanities, Utrecht University, Utrecht, The Netherlands Network for Studies on Pensions, Aging and Retirement (Netspar), Tilburg, The Netherlands
Leo Lentz
Affiliation:
Departments of Economics and Humanities, Utrecht University, Utrecht, The Netherlands Network for Studies on Pensions, Aging and Retirement (Netspar), Tilburg, The Netherlands
*
*Corresponding author. Email: [email protected]; [email protected]
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Abstract

This paper used a randomised field experiment to test if tailoring an email invitation induces pension scheme participants to delve into their online personal pension situation. Action perspective and degree of urgency conveyed in the invitation were tailored based on gender and age. Overall, our empirical findings show that such tailoring had no positive effects on (1) the probability that pension scheme participants click on the weblink to access information about their pension situation and (2) the probability to log in to a tool for pension check.

Keywords

Field experimentfinancial decision makingpension communicationpension informationtailoringC93D83D14G4J26J32
Type
Article
Information
Journal of Pension Economics & Finance , Volume 21 , Issue 1 , January 2022 , pp. 38 - 55
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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References

Angrist, JD and Pischke, J-S (2008) Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press.CrossRefGoogle Scholar
Autoriteit Financiële Markten (2018) Wet pensioencommunicatie [Pension Communication Act]. Retrieved January 4, 2018. Available at https://www.afm.nl/nl-nl/professionals/doelgroepen/pensioenuitvoerders/wetsvoorstel-pensioencommunicatie.Google Scholar
Bauer, R, Eberhardt, I and Smeets, P (2017) Financial incentives beat social norms: a field experiment on retirement information search. Available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3023943.CrossRefGoogle Scholar
Blakstad, M, Brüggen, E and Post, T (2017) Life events and pension plan participant engagement. Netspar Design Paper 93, 1–33.Google Scholar
Bode, A, Gijsen, J, van Ewijk, R and van de Grootevheen, A (2016) Big data: een game changer voor de pensioen- en verzekeringssector? [Big data: a game changer for the pension- and insurance sector?]. TIAS School for Business and Society.Google Scholar
Boggio, C, Fornero, E, Prast, HM and Sanders, J (2015) Seven ways to knit your portfolio: is investor communication neutral?. Netspar Discussion Paper 30, 1–28.Google Scholar
Brug, J, Steenhuis, I, van Assema, P and de Vries, H (1996) The impact of a computer-tailored nutrition intervention. Preventive Medicine 25, 236–242.CrossRefGoogle ScholarPubMed
Chiauzzi, E, Green, TC, Lord, S, Thum, C and Goldstein, M (2005) My student body: a high-risk drinking prevention web site for college students. Journal of American College Health 53, 263–274.CrossRefGoogle ScholarPubMed
Cobb, NK, Graham, AL, Bock, BC, Papandonatos, G and Abrams, DB (2005) Initial evaluation of a real-world Internet smoking cessation system. Nicotine & Tobacco Research 7, 207–216.CrossRefGoogle ScholarPubMed
Deaton, A (1992) Understanding Consumption. Oxford, England: Oxford University Press.CrossRefGoogle Scholar
Deaton, A and Muellbauer, J (1980) Economics and Consumer Behavior. Cambridge, England: Cambridge University Press.CrossRefGoogle Scholar
Dijkstra, A, De Vries, H, Roijackers, J and van Breukelen, G (1998) Tailoring information to enhance quitting in smokers with low motivation to quit: three basic efficacy questions. Health Psychology 17, 513.CrossRefGoogle ScholarPubMed
Dolls, M, Doerrenberg, P, Peichl, A and Stichnoth, H (2018) Do retirement savings increase in response to information about retirement and expected pensions? Journal of Public Economics 158, 168–179. https://doi.org/10.1016/j.jpubeco.2017.12.014CrossRefGoogle Scholar
Eberhardt, W, Brüggen, E, Post, T and Hoet, C (2016) Segmentation of pension plan participants: identifying dimensions of heterogeneity. Netspar Design Paper 47, 1–60.Google Scholar
Etter, J-F (2005) Comparing the efficacy of two Internet-based, computer-tailored smoking cessation programs: a randomized trial. Journal of Medical Internet Research 7, e2.CrossRefGoogle ScholarPubMed
Fuentes, O, Lafortune, J, Riutort, J, Tessada, J and Villatoro, F (2017) Personalized information as a tool to improve pension savings: results from a randomized control trial in Chile. Documento de Trabajo IE-PUC 483, 1–50.Google Scholar
Goda, GS, Manchester, CF and Sojourner, AJ (2014) What will my account really be worth? Experimental evidence on how retirement income projections affect saving. Journal of Public Economics 119, 80–92.CrossRefGoogle Scholar
Graham, JF, Stendardi, EJ, Myers, JK and Graham, MJ (2002) Gender differences in investment strategies: an information processing perspective. International Journal of Bank Marketing 20, 17–26.CrossRefGoogle Scholar
Hawkins, RP, Kreuter, M, Resnicow, K, Fishbein, M and Dijkstra, A (2008) Understanding tailoring in communicating about health. Health Education Research 23, 454–466.CrossRefGoogle Scholar
Hershey, DA, Jacobs-Lawson, JM and Neukam, KA (2002) Influences of age and gender on workers’ goals for retirement. The International Journal of Aging and Human Development 55, 163–179.CrossRefGoogle ScholarPubMed
Kamalski, J, Lentz, L, Sanders, T and Zwaan, RA (2008) The forewarning effect of coherence markers in persuasive discourse: evidence from persuasion and processing. Discourse Processes 45, 545–579.CrossRefGoogle Scholar
Kiesler, DJ and Auerbach, SM (2006) Optimal matches of patient preferences for information, decision-making and interpersonal behavior: evidence, models and interventions. Patient Education and Counseling 61, 319–341.CrossRefGoogle ScholarPubMed
Kleijn, S (2018) Clozing in on readability: How linguistic features affect and predict text comprehension and on-line processing. LOT dissertation series.Google Scholar
Kreuter, MW and Wray, RJ (2003) Tailored and targeted health communication: strategies for enhancing information relevance. American Journal of Health Behavior 27, S227–S232.CrossRefGoogle ScholarPubMed
Krijnen, J, Breugelmans, S and Zeelenberg, M (2014) Waarom mensen de pensioenvoorbereiding uitstellen en wat daar tegen te doen is [Why do people postpone preparing for retirement and what can be done about it]. Netspar NEA Paper 52, 1–50.Google Scholar
Laibson, D (1997) Golden eggs and hyperbolic discounting. The Quarterly Journal of Economics 112, 443–478.CrossRefGoogle Scholar
Lee, B-K and Lee, W-N (2004) The effect of information overload on consumer choice quality in an on-line environment. Psychology & Marketing 21, 159–183.CrossRefGoogle Scholar
Lentz, L, Nell, L and Pander Maat, H (2017) Begrijpelijkheid van pensioencommunicatie: effecten van wetgeving, geletterdheid en revisies [Comprehension of pension communication: effects of legal obligations, literacy and revisions]. Tijdschrift Voor Taalbeheersing 39, 191–208.CrossRefGoogle Scholar
Lustria, MLA, Cortese, J, Noar, SM and Glueckauf, RL (2009) Computer-tailored health interventions delivered over the Web: review and analysis of key components. Patient Education and Counseling 74, 156–173.CrossRefGoogle ScholarPubMed
McGuire, WJ and Papageorgis, D (1962) Effectiveness of forewarning in developing resistance to persuasion. Public Opinion Quarterly 26, 24–34.CrossRefGoogle Scholar
Nell, ML, Lentz, LR and Pander Maat, HLW (2016) Effecten van gelaagdheid in pensioendocumenten: een gebruikersstudie [Effects of layering in pension documents]. Netspar Design Paper 53, 1–56.Google Scholar
Oenema, A, Brug, J and Lechner, L (2001) Web-based tailored nutrition education: results of a randomized controlled trial. Health Education Research 16, 647–660.CrossRefGoogle ScholarPubMed
Petty, RE and Cacioppo, JT (1979) Effects of forwarning of persuasive intent and involvement on cognitive responses and persuasion. Personality and Social Psychology Bulletin 5(2), 173–176.CrossRefGoogle Scholar
Prast, H and van Soest, AH (2016) Financial literacy and preparation for retirement. Intereconomics 51, 113–118.CrossRefGoogle Scholar
Prast, H, Sanders, J and Leonhard, O (2018). Can words breed or kill investment? Metaphors, imagery, affect and investor behaviour. Available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3164260; https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2668579CrossRefGoogle Scholar
Strecher, VJ, Shiffman, S and West, R (2005) Randomized controlled trial of a web-based computer-tailored smoking cessation program as a supplement to nicotine patch therapy. Addiction 100, 682–688.CrossRefGoogle ScholarPubMed
van Dalen, H and Henkens, K (2016) Keuzevrijheid in pensioen [Freedom of choice in pensions]. Demos: Bulletin over Bevolking En Samenleving 30, 8–8.Google Scholar
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