Food choice behavior of adolescents under parent-child interaction in the context of US school lunch programs

Adams, D.C., Adams, A.E., 2008. Availability, Attitudes and Willingness to Pay for Local Foods: Results of a Preliminary Survey. Selected Paper. In: American Economics Association Annual Meeting, Orlando, FL, July 27-29, 2008. Andrews, 2010, Parents as health promoters: a theory of planned behavior perspective on the prevention of childhood obesity, J. Health Commun., 15, 95, 10.1080/10810730903460567 Aribarg, 2002, Understanding the role of preference revision and concession in group decisions, J. Mark. Res., 39, 336, 10.1509/jmkr.39.3.336.19105 Aribarg, 2010, Predicting joint choice using individual data, Mark. Sci., 29, 139, 10.1287/mksc.1090.0490 Avuwadah, 2022, Impact of introducing a farm to school program on the number of school lunches served, Appetite, 168, 10.1016/j.appet.2021.105741 Ayala, 2007, Association between family variables and Mexican American children’s dietary behaviors, J Nutr Educ Behav, 39, 62, 10.1016/j.jneb.2006.08.025 Barlow, 1998, Obesity evaluation and treatment: expert committee recommendations, Pediatrics, 102, E29, 10.1542/peds.102.3.e29 Bateman, 2009, Household versus individual valuation: what’s the difference?, Environ. Resour. Econ., 43, 119, 10.1007/s10640-009-9268-6 Bean, 2011, Profiling alternative food system supporters: the personal and social basis of local and organic food support, Renewable Agric. Food Syst, 26, 243, 10.1017/S1742170511000032 Beck, 2016, Willingness to accept longer commutes for better salaries: Understanding the differences within and between couples, Transp. Res. A Policy Pract., 91, 1, 10.1016/j.tra.2016.05.019 Becot, 2017, Do Farm-to-school programs create local economic impacts?, Choices, 32 Beharry-Borg, 2009, An analytical framework for joint vs separate decisions by couples in choice experiments: the case of coastal water quality in Tobago, Environ. Resour. Econ., 43, 95, 10.1007/s10640-009-9283-7 Bonanno, 2021, Too cool to farm to school? Analyzing the determinants of farm to school programming continuation, Food Policy, 102 Botkins, E.R., 2017. Three Essays on the Economics of Food and Health Behavior. The Ohio State University. Available at: https://etd.ohiolink.edu/pg_10?0::NO:10:P10_ACCESSION_NUM:osu149208205990797 [Accessed August 26, 2019]. Botkins, 2018, Understanding participation in farm to school programs: results integrating school and supply-side factors, Food Policy, 74, 126, 10.1016/j.foodpol.2017.12.006 Bundy, 2009 Carpio, 2009, Consumer willingness to pay for locally grown products: the case of South Carolina, Agribusiness, 25, 412, 10.1002/agr.20210 Chang, 2009, How closely do hypothetical surveys and laboratory experiments predict field behavior?, Am. J. Agric. Econ., 91, 518, 10.1111/j.1467-8276.2008.01242.x Christensen, L.O., B. Jablonski B.R.R., L. Stephens, and A. Joshi. 2017. Economic Impacts of Farm to School: Case Studies and Assessment Tools. Available at: http://www.farmtoschool.org/resources-main/economic-impacts-of-farm-to-school [Accessed April 1, 2018]. Cohen, 2013, School lunch waste among middle school students: nutrients consumed and costs, Am. J. Prev. Med., 44, 114, 10.1016/j.amepre.2012.09.060 Colombo, 2009, Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture, Agric. Econ., 40, 307, 10.1111/j.1574-0862.2009.00377.x Connolly, 2014, Does organic command a premium when the food is already local?, Am. J. Agric. Econ., 96, 1102, 10.1093/ajae/aau030 Costanigro, 2014, Is it love for local/organic or hate for conventional? Asymmetric effects of information and taste on label preferences in an experimental auction, Food Qual. Prefer., 31, 94, 10.1016/j.foodqual.2013.08.008 Cullen, 2017, The contribution of the USDA school breakfast and lunch program meals to student daily dietary intake, Prev. Med. Rep., 5, 82, 10.1016/j.pmedr.2016.11.016 Darby, 2008, Decomposing local: A conjoint analysis of locally produced foods, Am. J. Agric. Econ., 90, 476, 10.1111/j.1467-8276.2007.01111.x Drake, 2016 Espejo, 2009 Fedreral Register, 2017, National School Lunch Payments, 82, 35176 Gelli, 2016, Evaluation of alternative school feeding models on nutrition, education, agriculture and other social outcomes in Ghana: rationale, randomized design and baseline data, Trials, 17, 1, 10.1186/s13063-015-1116-0 Giraud, 2005, Consumer preferences for locally made specialty food products across Northern New England, Agricultural and Resource Economics Review, 34, 204, 10.1017/S1068280500008364 Giustinelli, 2016, Group decision making with uncertain outcomes: unpacking child-parent choice of the high school track: group decision making, Int. Econ. Rev., 57, 573, 10.1111/iere.12168 Gummer, 2021, Using instructed response items as attention checks in web surveys: Properties and implementation, Sociol. Methods Res., 50, 238, 10.1177/0049124118769083 Hensher, 2005, Households’ willingness to pay for water service attributes, Environ. Resour. Econ., 32, 509, 10.1007/s10640-005-7686-7 Hess, 2017, Correlation and scale in mixed logit models, J. Choice Model., 23, 1, 10.1016/j.jocm.2017.03.001 Hole, 2007, A Comparison of approaches to estimating confidence intervals for willingness to pay measures, Health Econ., 16, 827, 10.1002/hec.1197 Hole, 2007, Fitting mixed logit models by using maximum simulated likelihood, Stata J., 7, 388, 10.1177/1536867X0700700306 Hole, A.R., 2013. Mixed logit modeling in Stata--an overview. United Kingdom Stata Users’ Group Meetings 2013 No. 23, Stata Users Group. Available at: https://ideas.repec.org/p/boc/usug13/23.html [Accessed August 26, 2019]. Hu, 2013, What is Local and for What Foods Does It Matter?”, Agricultural Economics (Zemědělská ekonomika), 59, 454, 10.17221/29/2013-AGRICECON Huntington-Klein, 2018, College choice as a collective decision, Econ. Inq., 56, 1202, 10.1111/ecin.12470 Hur, 2011, Higher quality intake from school lunch meals compared with bagged lunches, ICAN: Infant, Child, & Adolescent Nutrition, 3, 70 Joshi, 2008, Do farm-to-school programs make a difference? findings and future research needs, J. Hunger Environ. Nutrit., 3, 229, 10.1080/19320240802244025 Kassem, 2003, Understanding soft drink consumption among female adolescents using the Theory of Planned Behavior, Health Educat. Res., 18, 278, 10.1093/her/cyf017 Kendler, 1997, The determinants of parenting: an epidemiological, multi-informant, retrospective study, Psychol. Med., 27, 549, 10.1017/S0033291797004704 Kristjansson, B., Petticrew, M., MacDonald, B., Krasevec, J., Janzen, L., Greenhalgh, T., Wells, G.A., MacGowan, J., Farmer, A.P., Shea, B., Mayhew, A., Tugwell, P., Welch, V., 2007. School feeding for improving the physical and psychosocial health of disadvantaged students. Cochrane Database of Systematic Reviews. [Art. No.: CD004676]. Kuhfeld, 2003, Marketing Research Methods in SAS, SAS Institute Lancaster, 1966, A New Approach to Consumer Theory, J. Polit. Econ., 74, 132, 10.1086/259131 Matts, C. 2009. School Food 101: The Cost of School Lunch. Available online at: https://www.canr.msu.edu/resources/cost-of-school-lunch (accessed 3 September 2019). Marcucci, 2011, Comparing single and joint preferences: a choice experiment on residential location in three-member households, Environ. Plan. A: Econ. Space, 43, 1209, 10.1068/a43344 Mariel, 2018, Joint parental school choice: exploring the influence of individual preferences of husbands and wives, Reg. Sci. Urban Econ., 68, 23, 10.1016/j.regsciurbeco.2017.10.017 Martinelli, 2020, Parental perceptions of the nutritional quality of school meals and student meal participation: before and after the healthy Hunger-Free Kids Act, J. Nutrit. Educat. Behav., 52, 1018, 10.1016/j.jneb.2020.05.003 McFadden, 1974, The measurement of urban travel demand, J. Public Econ., 3, 303, 10.1016/0047-2727(74)90003-6 Meas, 2015, Substitutes or complements? Consumer preference for local and organic food attributes, Am. J. Agric. Econ., 97, 1044, 10.1093/ajae/aau108 Meier, 2020, What do parents think about school meals? an exploratory study of rural middle school parents’ perceptions, J. Sch. Nurs., 1059 Motta, 2019, The impact of local food expenditure on school foodservice revenues, J. Sch. Health, 89, 722, 10.1111/josh.12809 National Farm to School Network. 2017. Benefits of Farm to School. Available online at: http://www.farmtoschool.org/resources-main/the-benefits-of-farm-to-school (accessed 1 September 2019). Nicholls, 2004, The child–parent purchase relationship: ‘pester power’, human rights and retail ethics, J. Retail. Consum. Serv., 11, 75, 10.1016/S0969-6989(02)00080-2 O’Hara, 2019, The impact of local agricultural production on farm to school expenditures, Renewable Agric. Food Syst, 34, 216, 10.1017/S1742170517000552 Ortega, 2012, Chinese consumers’ demand for food safety attributes: a push for government and industry regulations, Am. J. Agric. Econ., 94, 489, 10.1093/ajae/aar074 Papoutsi, 2015, Fat tax, subsidy or both? The role of information and children’s pester power in food choice, J. Econ. Behav. Organ., 117, 196, 10.1016/j.jebo.2015.06.011 Peer, 2022, Data quality of platforms and panels for online behavioral research, Behav. Res. Methods, 54, 1643, 10.3758/s13428-021-01694-3 Pelletier, 2013, Positive attitudes toward organic, local, and sustainable foods are associated with higher dietary quality among young adults, J. Acad. Nutr. Diet., 113, 127, 10.1016/j.jand.2012.08.021 Penn, 2018, Understanding hypothetical bias: an enhanced meta-analysis, Am. J. Agric. Econ., 100, 1186, 10.1093/ajae/aay021 Pham, M.V., and B.E. Roe. 2013. Will Reducing the Calorie Content of School Lunches Affect Participation? Evidence from a Choice Experiment with Suburban Parents. AgEcon Search. Available at: https://ageconsearch.umn.edu/record/149816 [Accessed August 26, 2019]. Plakias, 2020, Tradeoffs in farm to school implementation: larger foodsheds drive greater local food expenditures, Agric. Resour. Econ. Rev. Forthcoming. Poe, 2005, Computational methods for measuring the difference of empirical distributions, Am. J. Agric. Econ., 87, 353, 10.1111/j.1467-8276.2005.00727.x Prescott, 2019 Rao, 1991, A polarization model for describing group preferences”, J. Consum. Res., 18, 108, 10.1086/209245 Rogers, 2021, Discrete choice experiments or best-worst scaling? A qualitative study to determine the suitability of preference elicitation tasks in research with children and young people, J. Patient-reported Outcomes, 5, 1, 10.1186/s41687-021-00302-4 Ruud, P., 1996, Approximation and Simulation of the Multinomial Probit Model: An Analysis of Covariance Matrix Estimation. Working paper, Department of Economics, University of California, Berkeley. Available online at: https://pdfs.semanticscholar.org/be7c/4d2170c60452497c4a21789b518167a0a8d2.pdf. Rungie, 2014, The influence of individuals in forming collective household preferences for water quality, J. Environ. Econ. Manag., 68, 161, 10.1016/j.jeem.2014.04.005 Scarpa, R., M. Thiene, and D.A. Hensher. 2012. Preferences for tap water attributes within couples: An exploration of alternative mixed logit parameterizations: Wtp Differences for Tap Water within Couples. Water Resources Research 48(1). Available at: http://doi.wiley.com/10.1029/2010WR010148 [Accessed December 16, 2019]. School Nutrition Association, 2018 School Nutrition Association (2019). School Meal Trends & Stats. Available online at: https://schoolnutrition.org/aboutschoolmeals/schoolmealtrendsstats/ (accessed 3 September 2019). Schwartz, 2015, New school meal regulations increase fruit consumption and do not increase total plate waste, Child. Obes., 11, 242, 10.1089/chi.2015.0019 Singh, 2018, Home-grown school feeding: promoting local production systems diversification through nutrition sensitive agriculture, Food security, 10, 111, 10.1007/s12571-017-0760-5 Smith, 2016, Balancing competing policy demands: the case of sustainable public sector food procurement, J. Clean Product., 112, 249, 10.1016/j.jclepro.2015.07.065 Søndergaard, 2007, What parents prefer and children like – Investigating choice of vegetable-based food for children, Food Qual. Prefer., 18, 949, 10.1016/j.foodqual.2007.03.009 Spruance, 2018, Who eats school breakfast? Parent perceptions of school breakfast in a state with very low participation, J. Sch. Health, 88, 139, 10.1111/josh.12597 Sumberg, 2011, Linking agricultural development to school feeding in Sub-Saharan Africa: theoretical perspectives, Food Policy, 36, 341, 10.1016/j.foodpol.2011.03.001 Thilmany, D., Bond, C.A., Bond, J.K., 2008. Going Local: Exploring Consumer Behavior and Motivations for Direct Food Purchases. American Journal of Agricultural Economics 90(5). Available at: http://www.jstor.org/stable/20492389. Thompson, 2020, The impact of a multipronged intervention to increase school lunch participation among secondary school students in an urban public school district, Childhood Obesity, 16, S-14, 10.1089/chi.2019.0233 Train, 2009 Triches, 2018, Efficiency and Efficacy of Public Food Procurement for Family Farmers for School Feeding in Brazil, Brazilian Journal of International Law, 15, 271 U.S. Department of Agriculture, Food and Nutrition Service 2020. Child Nutrition Tables. Available online at https://www.fns.usda.gov/pd/child-nutrition-tables. U.S. Department of Agriculture, Food and Nutrition Service, Office of Policy Support, School Nutrition and Meal Cost Study, Final Report Volume 1: School Meal Program Operations and School Nutrition Environments by Sarah Forrestal, Charlotte Cabili, Dallas Dotter, Christopher W. Logan, Patricia Connor, Maria Boyle, Ayseha Enver, and Hiren Nissar. Project Officer: John Endahl. Alexandria, VA: April 2019. Veronesi, 2014, Climate change and the willingness to pay to reduce ecological and health risks from wastewater flooding in urban centers and the environment, Ecol. Econ., 98, 1, 10.1016/j.ecolecon.2013.12.005 Ward, 2014, Heterogeneous demand for drought-tolerant rice: evidence from Bihar, India, World Dev., 64, 125, 10.1016/j.worlddev.2014.05.017 Watson, 2018, Economic analysis of local food procurement in Southwest Florida’s farm to school programs, J. Agric. Food Sys. Community Dev., 8, 61, 10.5304/jafscd.2018.083.011 Zhang, 2009, Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms, Transp. Res. B Methodol., 43, 230, 10.1016/j.trb.2008.05.002