References

1. Aldieri, L.; Bruno, B.; Vinci, C.P. A multi-dimensional approach to happiness and innovation. Appl. Econ. 2021, 53, 1300–1310.
2. Usai, A.; Orlando, B.; Mazzoleni, A. Happiness as a Driver of Entrepreneurial Initiative and Innovation Capital. J. Intellect. Cap. 2020, 21, 1229–1255.
3. Gordon, K.; Dynan, L.; Siegel, R. Healthier choices in school cafeterias: A systematic review of cafeteria interventions. J. Pediatrics 2018, 203, 273–279.
4. Dhami, S. The Foundations of Behavioral Economic Analysis; Oxford University Press: Oxford, UK, 2016.
5. Mischel, W.; Ebbesen, E.B.; Raskoff Zeiss, A. Cognitive and attentional mechanisms in delay of gratification. J. Personal. Soc. Psychol. 1972, 21, 204.
6. Morrison, W.; Taubinsky, D. Rules of Thumb and Attention Elasticities: Evidence from Under-and Overreaction to Taxes; National Bureau of Economic Research: Cambridge, MA, USA, 2019.
7. Kahneman, D. Thinking, Fast and Slow; Macmillan Ltd.: Basingstoke, UK, 2011.
8. Kahneman, D.; Tversky, A. Subjective probability: A judgment of representativeness. Cogn. Psychol. 1972, 3, 430–454.
9. Jenssen, B.P.; Buttenheim, A.M.; Fiks, A.G. Using Behavioral Economics to Encourage Parent Behavior Change: Opportunities to Improve Clinical Effectiveness. Acad. Pediatr. 2019, 19, 4–10.
10. Thaler, R.H.; Sunstein, C.R. Nudge: Improving Decisions About Health, Wealth, and Happiness; Yale University Press: New Haven, CT, USA, 2008.
11. Bhattacharya, J.; Hyde, T.; Tu, P. Health Economics; Macmillan International Higher Education: New York, NY, USA, 2013.
12. Pesendorfer, W. Behavioral economics comes of age: A review essay on advances in behavioral economics. J. Econ. Lit. 2006, 44, 712–721.
13. Madden, G.J.; Price, J.; Sosa, F.A. Behavioral economic approaches to influencing children’s dietary decision making at school. Policy Insights Behav. Brain Sci. 2017, 4, 41–48.
14. Schwartz, M.B. The influence of a verbal prompt on school lunch fruit consumption: A pilot study. Int. J. Behav. Nutr. Phys. Act. 2007, 4, 6.
15. Kenney, E.L.; Gortmaker, S.L.; Carter, J.E.; Howe, M.C.W.; Reiner, J.F.; Cradock, A.L. Grab a cup, fill it up! An intervention to promote the convenience of drinking water and increase student water consumption during school lunch. Am. J. Public Health 2015, 105, 1777–1783.
16. Lai, C.-Y.; List, J.A.; Samek, A. How Do Informational Prompts Affect Choices in the School Lunchroom? CESR-Schaeffer Working Paper (2017–001). 2017. Available online: (accessed on 1 June 2021).
17. Hakim, S.M.; Meissen, G. Increasing consumption of fruits and vegetables in the school cafeteria: The influence of active choice. J. Health Care Poor Underserved 2013, 24, 145–157.
18. Miller, N.; Reicks, M.; Redden, J.P.; Mann, T.; Mykerezi, E.; Vickers, Z. Increasing portion sizes of fruits and vegetables in an elementary school lunch program can increase fruit and vegetable consumption. Appetite 2015, 91, 426–430.
19. Houldcroft, L.; Haycraft, E.; Farrow, C. Peer and friend influences on children’s eating. Soc. Dev. 2014, 23, 19–40.
20. Sharps, M.; Robinson, E. Perceived eating norms and vegetable consumption in children. Int. J. Behav. Nutr. Phys. Activity 2015, 12, 135.
21. Epstein, L.H.; Dearing, K.K.; Handley, E.A.; Roemmich, J.N.; Paluch, R.A. Relationship of mother and child food purchases as a function of price: A pilot study. Appetite 2006, 47, 115–118.
22. Epstein, L.H.; Dearing, K.K.; Paluch, R.A.; Roemmich, J.N.; Cho, D. Price and maternal obesity influence purchasing of low-and high-energy-dense foods. Am. J. Clin. Nutr. 2007, 86, 914–922.
23. Sutherland, L.A.; Beavers, D.P.; Kupper, L.L.; Bernhardt, A.M.; Heatherton, T.; Dalton, M.A. Like parent, like child: Child food and beverage choices during role playing. Arch. Pediatrics Adolesc. Med. 2008, 162, 1063–1069.
24. Just, D.; Price, J. Default options, incentives and food choices: Evidence from elementary-school children. Public Health Nutr. 2013, 16, 2281–2288.
25. List, J.A.; Samek, A.S. The behavioralist as nutritionist: Leveraging behavioral economics to improve child food choice and consumption. J. Health Econ. 2015, 39, 135–146.
26. Hanks, A.S.; Just, D.R.; Smith, L.E.; Wansink, B. Healthy convenience: Nudging students toward healthier choices in the lunchroom. J. Public Health 2012, 34, 370–376.
27. Adams, M.A.; Bruening, M.; Ohri-Vachaspati, P.; Hurley, J.C. Location of school lunch salad bars and fruit and vegetable consumption in middle schools: A cross-sectional plate waste study. J. Acad. Nutr. Diet. 2016, 116, 407–416.
28. Just, D.R.; Price, J. Using incentives to encourage healthy eating in children. J. Human Resour. 2013, 48, 855–872.
29. Hanks, A.S.; Just, D.R.; Wansink, B. Chocolate milk consequences: A pilot study evaluating the consequences of banning chocolate milk in school cafeterias. PLoS ONE 2014, 9, e91022.
30. Elsbernd, S.; Reicks, M.M.; Mann, T.L.; Redden, J.P.; Mykerezi, E.; Vickers, Z.M. Serving vegetables first: A strategy to increase vegetable consumption in elementary school cafeterias. Appetite 2016, 96, 111–115.
31. Hursh, S.R.; Roma, P.G. Behavioral economics and empirical public policy. J. Exp. Anal. Behav. 2013, 99, 98–124.
32. World Health Organization. Consideration of the Evidence on Childhood Obesity for the Commission on Ending Childhood Obesity: Report of the Ad Hoc Working Group on Science and Evidence for Ending Childhood Obesity; World Health Organization: Geneva, Switzerland, 2016.
33. Brownell, K.D.; Farley, T.; Willett, W.C.; Popkin, B.M.; Chaloupka, F.J.; Thompson, J.W.; Ludwig, D.S. The public health and economic benefits of taxing sugar-sweetened beverages. N. Engl. J. Med. 2009, 361, 1599.
34. Galizzi, M.M. Label, nudge or tax? A review of health policies for risky behaviours. J. Public Health Res. 2012, 1, 14.
35. Colchero, M.A.; Popkin, B.M.; Rivera, J.A.; Ng, S.W. Beverage purchases from stores in Mexico under the excise tax on sugar sweetened beverages: Observational study. BMJ 2016, 352, h6704.
36. Caraher, M.; Landon, J. The impact of advertising on food choice: The social context of advertising. Front. Nutr. Sci. 2006, 3, 22.
37. Galbraith-Emami, S.; Lobstein, T. The impact of initiatives to limit the advertising of food and beverage products to children: A systematic review. Obes. Rev. 2013, 14, 960–974.
38. Lwin, M.O.; Yee, A.Z.; Lau, J.; Ng, J.S.; Lam, J.Y.; Cayabyab, Y.M.; Vijaya, K. A macro-level assessment of introducing children food advertising restrictions on children’s unhealthy food cognitions and behaviors. Int. J. Advert. 2020, 39, 990–1011.
39. Kelly, B.; Jewell, J. What is the Evidence on the Policy Specifications, Development Processes and Effectiveness of Existing Front-of-Pack food Labelling Policies in the WHO European Region? World Health Organization: Geneva, Switzerland, 2018.
40. Talati, Z.; Pettigrew, S.; Kelly, B.; Ball, K.; Dixon, H.; Shilton, T. Consumers’ responses to front-of-pack labels that vary by interpretive content. Appetite 2016, 101, 205–213.
41. Caro, J.C.; Ng, S.W.; Taillie, L.S.; Popkin, B.M. Designing a tax to discourage unhealthy food and beverage purchases: The case of Chile. Food Policy 2017, 71, 86–100.
42. Pérez-Escamilla, R.; Lutter, C.; Rabadan-Diehl, C.; Rubinstein, A.; Calvillo, A.; Corvalán, C.; Batis, C.; Jacoby, E.; Vorkoper, S.; Kline, L. Prevention of childhood obesity and food policies in Latin America: From research to practice. Obes. Rev. 2017, 18, 28–38.
43. Jacobs, A. In Sweeping War on Obesity, Chile Slays Tony the Tiger. New York times. 2018. Available online: (accessed on 10 August 2019).
44. Nonnemaker, J.M.; Farrelly, M.C. Smoking initiation among youth: The role of cigarette excise taxes and prices by race/ethnicity and gender. J. Health Econ. 2011, 30, 560–567.
45. Murphy, J.G.; Correia, C.J.; Barnett, N.P. Behavioral economic approaches to reduce college student drinking. Addict. Behave. 2007, 32, 2573–2585.
46. Klein, J.G. Five pitfalls in decisions about diagnosis and prescribing. BMJ 2005, 330, 781–783.
47. Smith, B.W.; Slack, M.B. The effect of cognitive debiasing training among family medicine residents. Diagnosis 2015, 2, 117–121.
48. Tversky, A.; Kahneman, D. Judgment under uncertainty: Heuristics and biases. Science 1974, 185, 1124–1131.
49. Sharot, T. The optimism bias. Curr. Biol. 2011, 21, R941–R945.
50. Chapman, G.B.; Elstein, A.S. Cognitive processes and biases in medical decision making. Decision Making in Health Care: Theory, Psychology, and Applications; Cambridge University Press: Cambridge, UK, 2000; pp. 183–210.
51. Keselman, A.; Browne, A.C.; Kaufman, D.R. Consumer health information seeking as hypothesis testing. J. Am. Med. Inform. Assoc. 2008, 15, 484–495.
52. Cheung, R.; Ardolino, A. Behavioural science in public health policy. Br. J. Healthc. Manag. 2011, 17, 140–144.
53. Gorini, A.; Pravettoni, G. An overview on cognitive aspects implicated in medical decisions. Eur. J. Intern. Med. 2011, 22, 547–553.
54. Norton, M.I.; Mochon, D.; Ariely, D. The IKEA effect: When labor leads to love. J. Consum. Psychol. 2012, 22, 453–460.
55. Raghoebar, S.; van Kleef, E.; de Vet, E. Self-crafting vegetable snacks: Testing the IKEA-effect in children. Br. Food J. 2017, 119, 1301–1312.
56. Gneezy, U.; Meier, S.; Rey-Biel, P. When and why incentives (don’t) work to modify behavior. J. Econ. Perspect. 2011, 25, 191–210.
57. Tulsky, J.P.; Pilote, L.; Hahn, J.A.; Zolopa, A.J.; Burke, M.; Chesney, M.; Moss, A.R. Adherence to isoniazid prophylaxis in the homeless: A randomized controlled trial. Arch. Intern. Med. 2000, 160, 697–702.
58. Town, R.; Kane, R.; Johnson, P.; Butler, M. Economic incentives and physicians’ delivery of preventive care: A systematic review. Am. J. Prev. Med. 2005, 28, 234–240.
59. Saab, S.; Saggi, S.S.; Akbar, M.; Choi, G. Presumed consent: A potential tool for countries experiencing an organ donation crisis. Digest. Dis. Sci. 2019, 64, 1346–1355.
60. Patel, M.S.; Day, S.C.; Halpern, S.D.; Hanson, C.W.; Martinez, J.R.; Honeywell, S.; Volpp, K.G. Generic medication prescription rates after health system–wide redesign of default options within the electronic health record. JAMA Intern. Med. 2016, 176, 847–848.
61. Ansher, C.; Ariely, D.; Nagler, A.; Rudd, M.; Schwartz, J.; Shah, A. Better medicine by default. Med Decis. Mak. 2014, 34, 147–158.
62. Redelmeier, D.A.; Katz, J.; Kahneman, D. Memories of colonoscopy: A randomized trial. Pain 2003, 104, 187–194.
63. Brezis, M.; Halpern-Reichert, D.; Schwaber, M.J. Mass Media–Induced Availability Bias in the Clinical Suspicion of West Nile Fever. Ann. Intern. Med. 2004, 140, 234–235.
64. Elia, F.; Apra, F.; Verhovez, A.; Crupi, V. First, know thyself: Cognition and error in medicine. Acta. Diabetol. 2016, 53, 169–175.
65. Cho, I.; Bates, D.W. Behavioral economics interventions in clinical decision support systems. Yearb. Med Inform. 2018, 27, 114.
66. Mamede, S.; van Gog, T.; van den Berge, K.; Rikers, R.M.; van Saase, J.L.; van Guldener, C.; Schmidt, H.G. Effect of availability bias and reflective reasoning on diagnostic accuracy among internal medicine residents. JAMA 2010, 304, 1198–1203.
67. Roache, S.A.; Gostin, L.O. The untapped power of soda taxes: Incentivizing consumers, generating revenue, and altering corporate behavior. Int. J. Health Policy Manag. 2017, 6, 489.
68. Swinburn, B. Planet Obesity: How we’re Eating Ourselves and the Planet to Death. 2011. Available online: (accessed on 1 June 2021).
69. GBD Obesity Collaborators. Health effects of overweight and obesity in 195 countries over 25 years. N. Engl. J. Med. 2017, 377, 13–27.