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Why Don’t Local Governments Buy Catastrophe Insurance? Biased Decision-Makers
Abstract
Theoretical background: Incorporating behavioral analysis into finance allows for finding responses to many questions that researchers have not been able to answer by relying on assumptions characteristic of the traditional, normative approach. One of the areas where recently the achievements of behavioral finance have been used to analyze selected problems is public finance. In this article, we use the achievements of psychology, incorporating them into public finance, which allows us to shed new light on decisions made by public managers in Poland.
Purpose of the article: The aim of this paper is to present the reasons why local governments do not buy insurance that would protect them against potential losses resulting from the occurrence of a catastrophic event. In this paper, we rely on responses from 303 municipalities, following the premise that an obvious way to learn about motives, constraints, and the decision-making process is to ask decision-makers.
Research methods: This paper examines the influence of behavioral determinants and the level of tax revenue per capita on the decisions made by public managers. The CART method was used for this purpose. The necessary empirical data were obtained through a CAWI survey conducted in 2020 between August 1 and September 21 by a consortium of two research agencies: Biostat Research & Development Sp. z o.o. and Biostat Sp. z o.o.
Main findings: The analysis conducted in this paper demonstrates that behavioral factors significantly impact public managers' decisions not to purchase catastrophe insurance. Our results confirm the significant role of a decision maker's traits, judgments, views, feelings, and experiences in the decision-making process.
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Alm, J., & Sheffrin, S.M. (2017). Using behavioral economics in public economics. Public Finance Review, 45(1), 4–9. doi:10.1177/1091142116661411
Babula, E. (2010). Skłonność do podejmowania ryzyka a zasobność finansowa przedsiębiorstw. In P. Kulawczuk & A. Poszewiecki (Eds.), Behawioralne determinanty rozwoju przedsiębiorczości w Polsce. Ekonomia behawioralna finansowania przedsiębiorczości (pp. 156–169). Gdańsk: Fundacja Rozwoju Uniwersytetu Gdańskiego.
Baron, J., Hershey, J.C., & Kunreuther, H. (2002). Determinants of priority for risk reduction: The role of worry. Risk Analysis, 20(4), 413–428. doi:10.1111/0272-4332.204041
Barrows, S., Henderson, M., Peterson, P.E., & West, M.R. (2016). Relative performance information and perceptions of public service quality: Evidence from American school districts. Journal of Public Administration Research and Theory, 26(3), 571–583. doi:10.1093/jopart/muw028
Belardinelli, P., Bellé, N., Sicilia, M., & Steccolini, I. (2018). Framing effects under different uses of performance information: An experimental study on public managers. Public Administration Review, 78(6), 841–851.
Botzen, W.J.W., & van den Bergh, J.C.J.M. (2012). Risk attitudes to low-probability climate change risks: WTP for flood insurance. Journal of Economic Behavior & Organization, 8, 151–166. doi:10.1111/puar.12969
Browne, M., Knoller, C., & Richter, A. (2015). Behavioral bias and the demand for bicycle and flood insurance. Journal of Risk and Uncertainty, 50, 141–160. doi:10.1007/s11166-015-9212-9
Buurman, M., Delfgaauw, J., Dur, R., & Van den Bossche, S. (2012). Public sector employees: Risk averse and altruistic? Journal of Economic Behavior & Organization, 83(3), 279–291. doi:10.2139/ssrn.2094954
Cullis, J., Jones, P., & Savoia, A. (2012). Social norms and tax compliance: Framing the decision to pay tax. The Journal of Socio-Economics, 41(2), 159–168. doi:10.1016/j.socec.2011.12.003
Dawes, R.M. (1998). Behavioral decision making and judgment. In D.T. Gilbert, S.T. Fiske, & G. Lindzey (Eds.), The Handbook of Social Psychology (pp. 497–548). New York: McGraw-Hill. doi:10.1002/9780470561119
Delbufalo, E. (2015). Subjective trust and perceived risk influences on exchange performance in supplier–manufacturer relationships. Scandinavian Journal of Management, 31(1), 84–101. doi:10.1016/j.scaman.2014.06.002
Du Gay, P. (2008). ‘Without affection or enthusiasm’ problems of involvement and attachment in ‘responsive’ public management. Organization, 15(3), 335–353. doi:10.1177/1350508408088533
Fang, H., & Silverman, D. (2006). Distinguishing between cognitive biases. In E.J. McCaffery & J. Slemrod (Eds.), Behavioral Public Finance (pp. 47–81). New York: Russell Sage Foundation.
Fang, H., & Silverman, D. (2009). Time-inconsistency and welfare program participation: Evidence from the NLSY. International Economic Review, 50(4), 1043–1077. doi:10.3386/w13375
Fehr, E., & Zych, P.K. (2000). Intertemporal choice under habit formation. IEW – Working Papers 043. Institute for Empirical Research in Economics, University of Zurich. doi:10.2139/ssrn.230025
Fennell, L.A. (2006). Hyperopia in public finance. In E.J. McCaffery & J. Slemrod (Eds.), Behavioral Public Finance (pp. 141–171). New York: Russell Sage Foundation.
Frisch, D., & Clemen, R.T. (1994). Beyond expected utility: Rethinking behavioral decision research. Psychological Bulletin, 116(1), 46–54. doi:10.1037/0033-2909.116.1.46
Gallagher, J. (2014). Learning about an infrequent event: Evidence from flood insurance take-up in the United States. American Economic Journal: Applied Economics, 6(3), 206–233. doi:10.1257/app.6.3.206
Gawin, M., & Swacha-Lech, M. (2021). Determinants of catastrophe insurance purchasing by communes – behavioural perspective. Research Papers of Wroclaw University of Economics and Business, Economics and Finance, 1(65), 11–27. doi:10.15611/pn.2021.1.02
Gervais, S. (2010). Capital budgeting and other investment decisions. In H. Kent Baker & J.R. Nofsinger (Eds.), Behavioral Finance Investors, Corporations, and Markets (pp. 413–434). Hoboken: John Wiley & Sons. doi:10.1002/9781118258415
Haynes, L.C., Green, D.P., Gallagher, R., John, P., & Torgerson, D.J. (2013). Collection of delinquent fines: An adaptive randomized trial to assess the effectiveness of alternative text messages. Journal of Policy Analysis and Management, 32(4), 718–730. doi:10.1002/pam.21717
Hertwig, R., Barron, G., Weber, E., & Erev, I. (2004). Decisions from experience and the effect of rare events in risky choice. Psychological Science, 15(8), 534–539. doi:10.1111/j.0956-7976.2004.00715.x
Jastrzębska, M., Janowicz-Lomott, M., & Łyskawa, K. (2014). Zarządzanie ryzykiem w działalności jednostek samorządu terytorialnego ze szczególnym uwzględnieniem ryzyka katastroficznego. Warszawa: Wolters Kluwer.
Johnson, E.J., Hershey, J., Meszaros, J., & Kunreuther, H. (1993). Framing, probability distortions and insurance decisions. Journal of Risk and Uncertainty, 7, 35–51. doi:10.1007/bf01065313
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–292. doi:10.2307/1914185
Kondratowicz, P. (2012). Przegląd systemów ubezpieczenia ryzyk katastroficznych w wybranych krajach Unii Europejskiej. Wiadomości Ubezpieczeniowe: Powódź – Infrastruktura – Finansowanie, 1, 59–63.
Kuligowska, A. (2021). Finansowe aspekty korzystania z ochrony ubezpieczeniowej przez gminy w Polsce. Toruń: Wyd. Adam Marszałek.
Kunreuther, H., & Heal, G. (2012). Managing catastrophic risk. NBER Working Paper, 18136. doi:10.3386/w18136
Kunreuther, H., Novemsky, N., & Kahneman, D. (2001). Making low probabilities useful. Journal of Risk and Uncertainty, 23, 103–120. doi:10.1023/a:1011111601406
Kunreuther, H., & Pauly, M.V. (2004). Neglecting disaster: Why don’t people insure against large losses? Journal of Risk and Uncertainty, 28, 5–21. doi:10.1023/b:risk.0000009433.25126.87
Laury, S.K., McInnes, M.M., & Swarthout, J.T. (2009). Insurance decisions for low-probability losses. Journal of Risk and Uncertainty, 39(1), 17–44. doi:10.1007/s11166-009-9072-2
Liu, X., Stoutenborough, J., & Vedlitz, A. (2017). Bureaucratic expertise, overconfidence, and policy choice. Governance, 30(4), 705–725. https://doi.org/10.1111/gove.12257
McCaffery, E.J.,& Baron, J. (2004).Framing and taxation: Evaluation of tax policies involving household composition. Journal of Economic Psychology, 25(6), 679–705. doi:10.1016/j.joep.2003.07.001
McClelland, G.H., Schulze, W.D., & Coursey, D.L. (1993). Insurance for low-probability hazards: a bimodal response to unlikely events. Journal of Risk and Uncertainty, 7(1), 95–116. doi:10.1007/bf01065317
Munich RE. (2018a). NatCatSERVICE. Retrieved from https://www.munichre.com/en/solutions/for-industry-clients/natcatservice.html
Munich RE. (2018b). Topics Geo – Natural disasters 2017. Retrieved from https://www.munichre.com/topics-online/en/climate-change-and-natural-disasters/natural-disasters/topics-geo-2017.html
Munich RE. (2020). Retrieved from https://www.munichre.com/en/risks/natural-disasters-losses-are-trending-upwards.html#-1624621007
Nicholson-Crotty, S., Nicholson-Crotty, J., & Webeck, S. (2019). Are public managers more risk averse? Framing effects and status quo bias across the sectors. Journal of Behavioral Public Administration, 2(1), 1–14. doi:10.30636/jbpa.21.35
Omarli, S. (2017). Which factors have an impact on managerial decision-making process? An integrated framework. Essays in Economics and Business Studies, 83–93. doi:10.18427/iri-2017-0068
PIU (Polska Izba Ubezpieczeń). (2019). Klimat ryzyka. Jak prewencja i ubezpieczenia mogą ograniczyć wpływ katastrof naturalnych na otoczenie? Warszawa: PIU.
Podgor, E.S. (2009, April 14). April 15th – tax day is approaching. Retrieved from http://lawprofessors.typepad.com/whitecollarcrime_blog/2009/04/april-15th-tax-day-is-approaching.html
Prelec, D., & Loewenstein, G. (1998). The red and the black: Mental accounting of savings and debt. Marketing Science, 17(1), 4–28. doi:10.1287/mksc.17.1.4
Redlawsk, D.P., & Lau, R.R. (2013). Behavioral decision-making. In L. Huddy, D.O. Sears, & J.S. Levy (Eds.), The Oxford Handbook of Political Psychology (pp. 130–164). Oxford: Oxford University Press. doi:10.1093/oxfordhb/9780199760107.013.0005
Roder, G., Hudson, P., & Tarolli, P. (2019). Flood risk perceptions and the willingness to pay for flood insurance in the Veneto region of Italy. International Journal of Disaster Risk Reduction, 37. doi:10.1016/j.ijdrr.2019.101172
Schade, C., Kunreuther, H., & Koellinger, P. (2011). Protecting against low-probability disasters: The role of worry. Journal of Behavioral Decision Making, 25, 534–543. doi:10.1002/bdm.754
Schaupp, L.C., & Carter, L. (2010). The impact of trust, risk and optimism bias on e-file adoption. Information Systems Frontiers, 12(3), 299–309. doi:10.1007/s10796-008-9138-8
Schoemaker, P., & Kunreuther, H. (1979). An experimental study of insurance decisions. Journal of Risk and Insurance, 46(4), 603–618. doi:10.2307/252533
Schwartz, H. (2006). In-depth interviews as a means of understanding economic reasoning: Decision making as explained by business leaders and business economists. In M. Altman (Ed.), Handbook of Contemporary Behavioral Economics: Foundations and Developments (pp. 356–377). Armonk – London: M.E. Sharpe. doi:10.4324/9781315703879-28
Shefrin, H.M., & Thaler, R.H. (1988). The behavioral life-cycle hypothesis. Economic Inquiry, 26(4), 609–643. doi:10.1111/j.1465-7295.1988.tb01520.x
Simon, H.A. (1956). Rational choice and the structure of the environment. Psychological Review, 63, 129–138. doi:10.1037/h0042769
Simon, H.A. (1957). Models of man: Social and rational. Economica, 24(96), 382. doi:10.2307/2109314
Slovic, P., Fischhoff, B., Lichtenstein, S., Corrigan, B., & Combs, B. (1977). Preference for insuring against probable small losses: Insurance implications. Journal of Risk and Insurance, 44, 237–258. doi:10.2307/252136
Stolwijk, S., & Vis, B. (2020). Politicians, the representativeness heuristic and decision-making biases. Political Behavior, 43, 1411–1432. doi:10.1007/s11109-020-09594-6
Takemura, K. (2014). Behavioral Decision Theory. Psychological and Mathematical Descriptions of Human Choice Behavior. Springer. doi:10.1007/978-981-16-5453-4_1
Tomal, M. (2019). Behawioralne aspekty decyzji inwestycyjnych samorządów lokalnych – na przykładzie gmin województwa małopolskiego. Ekonomista, 2, 226–242.
Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453–458. doi:10.1126/science.7455683
Tversky, A., Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5, 297–323. doi:10.1007/bf00122574
Viscusi, W., & Zeckhauser, R. (2015). The relative weights of direct and indirect experiences in the formation of environmental risk beliefs. Risk Analysis, 35(2), 318–331.
West, J.P., & Berman, E.M. (2011). The impact of management work habits on public sector performance: A study of local government managers. Public Personnel Management, 40(1), 63–87. doi:10.1111/risa.12271
DOI: http://dx.doi.org/10.17951/h.2022.56.3.149-168
Date of publication: 2022-12-09 11:19:13
Date of submission: 2022-05-10 18:59:30
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