Nudges: diseño y evaluación

Autores/as

DOI:

https://doi.org/10.24965/gapp.i25.10868

Palabras clave:

economía del comportamiento, políticas públicas, ensayos controlados aleatorizados, política basada en evidencia, nudges

Resumen

La literatura sobre nudges y su evaluación es extensa, y destaca la diversidad de sesgos de comportamiento y posibles intervenciones. Los nudges buscan modificar la arquitectura de las decisiones individuales, intentando cambiar el comportamiento de las personas en una dirección concreta y a un bajo coste. Su impacto debe tener en cuenta el coste-efectividad del dinero invertido, en comparación a otras intervenciones públicas más tradicionales que persiguen el mismo objetivo. El uso de experimentos en su evaluación ha convertido a los nudges en una importante herramienta de la política basada en la evidencia, mejorando así el diseño y efectividad de la acción pública. En este artículo buscamos revisar el conocimiento actual en torno al diseño y evaluación de los nudges, y su importancia para el desarrollo de políticas basadas en evidencia.

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Biografía del autor/a

Elena Costas-Pérez, KSNET y ESADE (España)

Doctora en Economía por la Universidad de Barcelona, máster por la University College of London. Ha trabajado como investigadora en la UAB y el Banco Inter-Americano de Desarrollo, y como analista de políticas en la Organización para la Cooperación y el Desarrollo Económicos (OCDE). Es socia fundadora de Knowledge Sharing Network (KSNET) y profesora de ESADE. Sus áreas de investigación son la economía política y la gobernanza.

Pablo Tucat, KSNET (España)

Máster en Políticas Públicas y Sociales por la Universidad Pompeu Fabra y Máster en Economía Aplicada por la Universidad Torcuato Di Tella de Argentina. Actualmente trabaja como investigador en Knowledge Sharing Network (KSNET) en la evaluación de políticas públicas. Anteriormente, ha trabajado como consultor en temas de vivienda social y asesor económico en organismos públicos de la Argentina.

Citas

Abadie, A. y Gay, S. (2006). The impact of presumed consent legislation on cadaveric organ donation: A cross-country study. Journal of Health Economics, 25(4), 599-620. https://doi.org/10.1016/j.jhealeco.2006.01.003

Abaluck, J. y Gruber, J. (2011). Choice inconsistencies among the elderly: Evidence from plan choice in the Medicare Part D program. American Economic Review, 101(4), 1.180-1.210. https://doi.org/10.1257/aer.101.4.1180

Afif, Z., Islan, W. W., Calvo-Gonzalez, O. y Dalton, A. G. (2018). Behavioral Science Around the World: Profiles of 10 Countries. World Bank Group. http://documents1.worldbank.org/curated/en/710771543609067500/pdf/132610-REVISED-00-COUNTRY-PROFILES-dig.pdf

Allcott, H. (2011). Social norms and energy conservation. Journal of Public Economics, 95(9-10), 1.082-1.095. https://doi.org/10.1016/j.jpubeco.2011.03.003

Ariely, D. y Loewenstein, G. (2006). The heat of the moment: The effect of sexual arousal on sexual decision making. Journal of Behavioral Decision Making, 19(2), 87-98. https://doi.org/10.1002/bdm.501

Ariely, D. y Wertenbroch, K. (2002). Procrastination, deadlines, and performance: Self-control by precommitment. Psychological Science, 13(3), 219-224. https://doi.org/10.1111/1467-9280.00441

Barrows, A., Dabney, N., Hayes, J. y Rosenberg, R. (2018). Behavioral Design Teams. A Model for Integrating Behavioral Design in City Government. Ideas42. https://www.ideas42.org/wp-content/uploads/2018/04/BDT_Playbook_FINAL-digital.pdf

Battaglio, R. P., Belardinelli, P., Bellé, N. y Cantarelli, P. (2019). Behavioral Public Administration ad fontes: A Synthesis of Research on Bounded Rationality, Cognitive Biases, and Nudging in Public Organizations. Public Administration Review, 79(3), 304-320. https://doi.org/10.1111/puar.12994

Behavioural Insights Team. (2010). Applying behavioural insight to health [Policy Paper]. The Cabinet Office. https://www.gov.uk/government/publications/applying-behavioural-insight-to-health-behavioural-insights-team-paper

Behavioural Insights Team. (2012). Applying Behavioural Insights to Reduce Fraud, Error and Debt [Policy Paper]. The Cabinet Office. https://www.gov.uk/government/publications/fraud-error-and-debt-behavioural-insights-team-paper

Benartzi, S., Beshears, J., Milkman, K. L., Sunstein, C. R., Thaler, R. H., Shankar, M., Tucker-Ray, W., Congdon, W. J. y Galing, S. (2017). Should Governments Invest More in Nudging? Psychological Science, 28(8), 1.041-1.055. https://doi.org/10.1177/0956797617702501

Benartzi, S. y Thaler, R. H. (2007). Heuristics and biases in retirement savings behavior. Journal of Economic Perspectives, 21(3), 81-104. https://doi.org/10.1257/jep.21.3.81

Bettinger, E. P., Long, B. T., Oreopoulos, P. y Sanbonmatsu, L. (2012). The Role of Application Assistance and Information in College Decisions: Results from the H&R Block FAFSA Experiment. Quarterly Journal of Economics, 127(3), 1.205-1.242. https://doi.org/10.1093/qje/qjs017

Bhargava, S. y Loewenstein, G. (2015). Behavioral economics and public policy 102: Beyond nudging. American Economic Review, 105(5), 396-401. https://doi.org/10.1257/aer.p20151049

Buehler, R., Griffin, D. y Ross, M. (1994). Exploring the «Planning Fallacy»: Why People Underestimate Their Task Completion Times. Journal of Personality and Social Psychology, 67(3), 366-381. https://web.mit.edu/curhan/www/docs/Articles/biases/67_J_Personality_and_Social_Psychology_366,_1994.pdf

Carrillo, P. E., Castro, E. y Scartascini, C. (2017). Do Rewards Work?: Evidence from the Randomization of Public Works (IDB Working Paper 794). Inter-American Development Bank. https://publications.iadb.org/en/do-rewards-work-evidence-randomization-public-works

Castleman, B. L. y Meyer, K. E. (2020). Can Text Message Nudges Improve Academic Outcomes in College? Evidence from a West Virginia Initiative. The Review of Higher Education, 43(4), 1.125-1.165. https://doi.org/10.1353/rhe.2020.0015

Castro, L. y Scartascini, C. (2014). El diablo está en los detalles. Algunas lecciones para el diseño de políticas públicas. Resumen de Políticas, IDB-PB-232. Banco Interamericano de Desarrollo. https://publications.iadb.org/es/publicacion/16875/el-diablo-esta-en-los-detalles-algunas-lecciones-para-el-diseno-de-politicas

Davies, H. T. O., Nutley, S. M. y Smith, P. C. (2000). What works? Evidence-based policy and practice in public services. Bristol University Press. https://doi.org/10.2307/j.ctt1t892t3

De Gilder, D., Schuyt, T. N. M. y Breedijk, M. (2005). Effects of an Employee Volunteering Program on the Work Force: The ABN-AMRO Case. Journal of Business Ethics, 61(2), 143-152. Springer. https://doi.org/10.1007/s10551-005-7101-x

Deaton, A. (2020). Randomization in the Tropics Revisited: a Theme and Eleven Variations (NBER Working Paper, 27.600). National Bureau of Economic Research. https://doi.org/10.3386/w27600

DellaVigna, S. y Linos, E. (2020). RCTs to Scale: Comprehensive Evidence from Two Nudge Units (NBER Working Paper, 27.594). National Bureau of Economic Research. https://doi.org/10.3386/w27594

Dhami, S. (2016). The foundations of behavioral economic analysis. Oxford University Press.

Dolan, P., Hallsworth, M., Halpern, D., King, D. y Vlaev, I. (2010). MINDSPACE: Influencing behaviour through public policy. Institute of Government. https://www.instituteforgovernment.org.uk/sites/default/files/publications/MINDSPACE.pdf

Duflo, E., Kremer, M. y Robinson, J. (2011). Nudging farmers to use fertilizer: Theory and experimental evidence from Kenya. American Economic Review, 101(6), 2.350-2.390. https://doi.org/10.1257/aer.101.6.2350

Einfeld, C. (2019). Nudge and evidence based policy: fertile ground. Evidence & Policy: A Journal of Research, Debate and Practice, 15(4), 509-524. https://doi.org/10.1332/174426418X15314036559759

European Commission (2013). Vulnerable Consumer Working Group Guidance Document on Vulnerable Consumers, November 2013. Vulnerable Consumer Working Group. https://ec.europa.eu/energy/sites/ener/files/documents/20140106_vulnerable_consumer_report_0.pdf

Fehr, E. y Gächter, S. (2000). Fairness and Retaliation: The Economics of Reciprocity. The Journal of Economic Perspectives, 14(3), 159-181. American Economic Association. https://doi.org/10.2307/2646924

Frey, B. S. (1994). How Intrinsic Motivation is Crowded out and in. Rationality and Society, 6(3), 334-352. https://doi.org/10.1177/1043463194006003004

Fryer Jr., R. G. (2011). Teacher Incentives and Student Achievement: Evidence from New York City Public Schools (NBER Working Paper, 16.850). National Bureau of Economic Research. https://doi.org/10.3386/w16850

Galle, B. (2014). Tax, Command… or Nudge? Evaluating the New Regulation. Texas Law Review, 92(4), 837-894. http://texaslawreview.org/wp-content/uploads/2015/08/Galle-92-4.pdf

García Arteagoitia, S. (2019). El éxito y el potencial del nudge en las políticas públicas. Revista Vasca de Gestión de Personas y Organizaciones Públicas, (3 Especial), 140-155. https://www.ivap.euskadi.eus/contenidos/informacion/rvgp_ultimo_numero/es_def/Garc%C3%ADa%20140_155.pdf

Giné, X., Karlan, D. y Zinman, J. (2010). Put your money where your butt is: A commitment contract for smoking cessation. American Economic Journal: Applied Economics, 2(4), 213-235. https://doi.org/10.1257/app.2.4.213

Glennerster, R. y Takavarasha, K. (2013). Running randomized evaluations: A practical guide. Princeton University Press.

Guszcza, J. y Murphy, T. (2017). Cognitive Collaboration: What Data Science Can Learn from Psychology. En A. Samson (Ed.), The Behavioral Economics Guide 2017 (pp. 41-46).

Haynes, L., Service, O., Goldacre, B. y Torgerson, D. (2013). Test, Learn, Adapt: Developing Public Policy with Randomised Controlled Trials. The Cabinet Office. Behavioural Insights Team. https://www.bi.team/publications/test-learn-adapt-developing-public-policy-with-randomised-controlled-trials/

Hershfield, H. E., Goldstein, D. G., Sharpe, W. F., Fox, J., Yeykelis, L., Carstensen, L. L. y Bailenson, J. N. (2011). Increasing saving behavior through age-progressed renderings of the future self. Journal of Marketing Research, 48(SPL), S23-S37. https://doi.org/10.1509/jmkr.48.SPL.S23

Homonoff, T., Kao, L.-S., Palmer, D. y Seybolt, C. (2018). Skipping the bag. Assessing the impact of Chicago’s tax on disposable bags. NYU Wagner. https://wagner.nyu.edu/impact/research/publications/skipping-bag-assessing-impact-chicagos-tax-disposable-bags

Hopkins, A., Breckon, J. y Lawrence, J. (2020). The Experimenter’s Inventory. A catalogue of experiments for decision-makers and professionals. Alliance for Useful Evidence is a network – Nesta. https://www.alliance4usefulevidence.org/assets/2020/01/The-Experimenters-Inventory-A-catalogue-of-experiments-for-decision-makers-and-professionals.pdf.pdf

Hummel, D. y Maedche, A. (2019). How effective is nudging? A quantitative review on the effect sizes and limits of empirical nudging studies. Journal of Behavioral and Experimental Economics, 80, 47-58. https://doi.org/10.1016/j.socec.2019.03.005

Internal Revenue Service (2017). Behavioral Insights Toolkit. IRS. https://www.irs.gov/pub/irs-soi/17rpirsbehavioralinsights.pdf

Iyengar, S. S. y Lepper, M. R. (2000). When choice is demotivating: can one desire too much of a good thing? Journal of Personality and Social Psychology, 79(6), 995-1.006. https://doi.org/10.1037/0022-3514.79.6.995

Johnson, E. J. y Goldstein, D. (2003). Do Defaults Save Lives? Science, 302(5.649), 1.338-1.339. https://doi.org/10.1126/science.1091721

Kahneman, D. (1994). New Challenges to the Rationality Assumption. Journal of Institutional and Theoretical Economics, 150(1), 18-36. https://www.jstor.org/stable/40753012

Kahneman, D. (2011). Thinking, Fast and Slow (edición 2013). Macmillan.

Kahneman, D. y Tversky, A. (1972). Subjective probability: A judgment of representativeness. Cognitive Psychology, 3(3), 430-454. https://doi.org/10.1016/0010-0285(72)90016-3

Kahneman, D. y Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-292. https://doi.org/10.2307/1914185

Kamenica, E. (2012). Behavioral Economics and Psychology of Incentives. Annual Review of Economics, 4(1), 427-452. https://doi.org/10.1146/annurev-economics-080511-110909

King, D., Jabbar, A., Charani, E., Bicknell, C., Wu, Z., Miller, G., Gilchrist, M., Vlaev, I., Franklin, B. D. y Darzi, A. (2014). Redesigning the «choice architecture» of hospital prescription charts: A mixed methods study incorporating in situ simulation testing. BMJ Open, 4(12), 5.473. https://doi.org/10.1136/bmjopen-2014-005473

Kosters, M. y Van der Heijden, J. (2015). From mechanism to virtue: Evaluating Nudge theory. Evaluation, 21(3), 276-291. https://doi.org/10.1177/1356389015590218

Lange, I., Moro, M. y Mahbubur Rahman, M. (2018). Cleaner Nudges? Policy Labels and Investment Decision-making. The Energy Journal, 39(6). https://doi.org/10.5547/01956574.39.6.ilan

Lindblom, C. E. (1959). The Science of «Muddling Through». Public Administration Review, 19(2), 79-88. https://doi.org/10.2307/973677

Lipkus, I., Klein, W., Skinner, C. S. y Rimer, B. (2005). Breast cancer risk perceptions and breast cancer worry: What predicts what? Journal of Risk Research, 8(5), 439-452. https://doi.org/10.1080/1366987042000311018

List, J. A. (2006). Field Experiments: A Bridge between Lab and Naturally Occurring Data. The B.E. Journal of Economic Analysis & Policy, 5(2). https://doi.org/10.2202/1538-0637.1747

List, J. A., Sadoff, S. y Wagner, M. (2011). So you want to run an experiment, now what? Some simple rules of thumb for optimal experimental design. Experimental Economics, 14(4), 439-457. https://doi.org/10.1007/s10683-011-9275-7

Madaleno, M. y Waights, S. (2016). Guide to scoring methods using the Maryland Scientific Methods Scale. What Works Centre for Local Economic Growth. https://whatworksgrowth.org/public/files/Scoring-Guide.pdf

Madrian, B. C. y Shea, D. F. (2001). The power of suggestion: Inertia in 401 (k) participation and savings behavior. The Quarterly Journal of Economics, 116(4), 1.149-1.187. https://www.jstor.org/stable/2696456

Manoli, D. y Turner, N. (2014). Nudges and Learning: Evidence from Informational Interventions for Low-Income Taxpayers (NBER Working Paper, 20.718). National Bureau Of Economic Research. https://doi.org/10.3386/w20718

Martínez Villarreal, D., Rojas Méndez, A. M. y Scartascini, C. (2020). La economía del comportamiento puede ayudar a combatir el coronavirus. Resumen de Políticas, IDB-PB-334. Banco Interamericano de Desarrollo. http://dx.doi.org/10.18235/0002315

Mullainathan, S. y Shafir, E. (2013). Scarcity: Why having too little means so much. Times Books. http://sc.arcity.co/

Nisbett, R. E. y Wilson, T. D. (1977). The Halo Effect: Evidence for Unconscious Alteration of Judgments. Journal of Personality and Social Psychology, 35(4), 250-256. https://doi.org/10.1037/0022-3514.35.4.250

O’Donoghue, T. y Rabin, M. (1999). Doing It Now or Later. American Economic Review, 89(1), 103-124. https://doi.org/10.1257/aer.89.1.103

OECD (2019). Tools and Ethics for Applied Behavioural Insights: The BASIC Toolkit. OECD Publishing. https://doi.org/10.1787/9ea76a8f-en

Pallier, G., Wilkinson, R., Danthiir, V., Kleitman, S., Knezevic, G., Stankov, L. y Roberts, R. D. (2002). The role of individual differences in the accuracy of confidence judgments. Journal of General Psychology, 129(3), 257-299. https://doi.org/10.1080/00221300209602099

Pollitt, C. (1995). Justification By Works Or By Faith? Evaluating The New Public Management. Evaluation, 1(2), 133-154. https://doi.org/10.1177/135638909500100202

Rogers, E. y Weber, E. P. (2010). Thinking Harder About Outcomes for Collaborative Governance Arrangements. The American Review of Public Administration, 40(5), 546-567. https://doi.org/10.1177/0275074009359024

Sabel, C. F. y Zeitlin, J. (2012). Experimentalist Governance. The Oxford Handbook of Governance, 1, 2-4. https://doi.org/10.1093/oxfordhb/9780199560530.013.0012

Samson, A. (ed.) (2020). The Behavioral Economics Guide 2020 (con introducción de Colin Camerer). Behavioral Science Solutions. https://www.behavioraleconomics.com/be-guide/the-behavioral-economics-guide-2020/

Samuelson, W. y Zeckhauser, R. (1988). Status quo bias in decision making. Journal of Risk and Uncertainty, 1(1), 7-59. https://doi.org/10.1007/BF00055564

Sanders, M. (2015). In search of the limits of applying reciprocity in the field: Evidence from two large field experiments. The Behavioural Insights Team and Harvard Kennedy School of Government. https://www.bi.team/publications/in-search-of-the-limits-of-applying-reciprocity-in-the-field-evidence-from-two-large-field-experiments/

Schultz, P. W., Nolan, J. M., Cialdini, R. B., Goldstein, N. J. y Griskevicius, V. (2007). The Constructive, Destructive, and Reconstructive Power of Social Norms. Psychological Science, 18(5), 429-434. https://www.jsmf.org/meetings/2008/july/social%20norms%20Cialdini.pdf

Service, O., Hallsworth, M., Halpern, D., Algate, F., Gallagher, R., Nguyen, S., Ruda, S., Sanders, M. with Marcos Pelenur, M., Gyani, A., Harper, H., Reinhard, J. y Kirkman, E. (2014). EAST: Four simple ways to apply behavioural insights. The Behavioural Insights Team. https://www.bi.team/publications/east-four-simple-ways-to-apply-behavioural-insights/

Shafir, E. (2007). A behavioural background for economic policy. Behavioural Economics and Public Policy. Australian Government Productivity Commission. https://www.pc.gov.au/research/supporting/behavioural-economics/shafir.pdf

Sharot, T. (2011). The optimism bias. Current Biology, 21(23), R941-R945. https://doi.org/10.1016/j.cub.2011.10.030

Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological Review, 63(2), 129-138. https://doi.org/10.1037/h0042769

Straßheim, H. y Beck, S. (eds.). (2019). Handbook of Behavioural Change and Public Policy. (Handbooks of Research on Public Policy series) Edward Elgar Publishing. https://doi.org/10.4337/9781785367854

Straßheim, H., Jung, A. y Korinek, R.-L. (2015). Reframing expertise: The rise of behavioural insights and interventions in public policy. En A. Berthoin Antal, M. Hutter y D. Stark (eds.), Moments of valuation. Exploring sites of dissonance (pp. 249-268). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198702504.003.0013

Thaler, R. H. y Sunstein, C. R. (2009). Nudge: Improving Decisions About Health, Wealth, and Happiness. Yale University Press.

Thompson, S., Michaelson, J., Abdallah, S., Johnson, V., Morris, D., Riley, K. y Simms, A. (2011). «Moments of change» as opportunities for influencing behaviour: A report to the Department for Environment, Food and Rural Affairs, nef (the new economics foundation). Defra. https://core.ac.uk/reader/9717890

Tversky, A. y Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4.157), 1.124-1.131. https://doi.org/10.1126/science.185.4157.1124

Van Bavel, R., Herrmann, B., Esposito, G. y Proestakis, A. (2013). Applying Behavioural Sciences to EU Policy-making. JRC Scientific and Policy Reports (JRC83284). Publications Office of the European Union. https://doi.org/10.2788/47172

York, B. y Loeb, S. (2018). One Step at a Time: The Effects of an Early Literacy Text Messaging Program for Parents of Preschoolers (NBER Working Paper, 20.659). National Bureau of Economic Research. https://doi.org/10.3386/w20659

Publicado

11-03-2021

Cómo citar

Costas-Pérez, E., & Tucat, P. (2021). Nudges: diseño y evaluación. Gestión Y Análisis De Políticas Públicas. Nueva época, (25), 8-22. https://doi.org/10.24965/gapp.i25.10868