IDEAS home Printed from https://ideas.repec.org/p/ags/aaea04/20262.html
   My bibliography  Save this paper

Prevalence Of Childhood Overweight Among Low-Income Households

Author

Listed:
  • Huang, Chung L.
  • Lin, Biing-Hwan

Abstract

The study investigates variations in children's body mass indices among low income households using the endogenous switching regression analysis to account for the potential self-selectivity bias. The result provides an important policy implication for public health officials and educators with respect to the development of nutrition education and information delivery.

Suggested Citation

  • Huang, Chung L. & Lin, Biing-Hwan, 2004. "Prevalence Of Childhood Overweight Among Low-Income Households," 2004 Annual meeting, August 1-4, Denver, CO 20262, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea04:20262
    DOI: 10.22004/ag.econ.20262
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/20262/files/sp04hu04.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.20262?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. John Burghardt & Anne Gordon & Thomas Fraker, "undated". "Meals Offered in the National School Lunch Program and School Breakfast Program," Mathematica Policy Research Reports 4eb2f884d9af47c89c36b1dd7, Mathematica Policy Research.
    2. Goodman, E., 1999. "The role of socioeconomic status gradients in explaining differences in US adolescents' health," American Journal of Public Health, American Public Health Association, vol. 89(10), pages 1522-1528.
    3. Lee, Lung-Fei & Trost, Robert P., 1978. "Estimation of some limited dependent variable models with application to housing demand," Journal of Econometrics, Elsevier, vol. 8(3), pages 357-382, December.
    4. Kim, Sung-Yong & Nayga, Rodolfo M., Jr. & Capps, Oral, Jr., 2000. "The Effect Of Food Label Use On Nutrient Intakes: An Endogenous Switching Regression Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(01), pages 1-17, July.
    5. Rodolfo Nayga, 2000. "Schooling, health knowledge and obesity," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 815-822.
    6. repec:mpr:mprres:1515 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cavaliere, Alessia & De Marchi, Elisa & Banterle, Alessandro, 2013. "Time Preference and Health: The Problem of Obesity," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164754, International European Forum on System Dynamics and Innovation in Food Networks.
    2. Martin, Molly A. & Frisco, Michelle L. & Nau, Claudia & Burnett, Kristin, 2012. "Social stratification and adolescent overweight in the United States: How income and educational resources matter across families and schools," Social Science & Medicine, Elsevier, vol. 74(4), pages 597-606.
    3. Jeetendra P. Aryal & Arun Khatri‐Chhetri & Tek B. Sapkota & Dil B. Rahut & Olaf Erenstein, 2020. "Adoption and economic impacts of laser land leveling in the irrigated rice‐wheat system in Haryana, India using endogenous switching regression," Natural Resources Forum, Blackwell Publishing, vol. 44(3), pages 255-273, August.
    4. Bonanno, Alessandro & Bimbo, Francesco & Cleary, Rebecca & Castellari, Elena, 2018. "Food labels and adult BMI in Italy – An unconditional quantile regression approach," Food Policy, Elsevier, vol. 74(C), pages 199-211.
    5. Lynch, Jamie L. & von Hippel, Paul T., 2016. "An education gradient in health, a health gradient in education, or a confounded gradient in both?," Social Science & Medicine, Elsevier, vol. 154(C), pages 18-27.
    6. Min, Shi & Wang, Xiaobing & Yu, Xiaohua, 2021. "Does dietary knowledge affect household food waste in the developing economy of China?," Food Policy, Elsevier, vol. 98(C).
    7. Lee, Jonq-Ying & Brown, Mark G. & Schwartz, Brooke, 1986. "The Demand For National Brand And Private Label Frozen Concentrated Orange Juice: A Switching Regression Analysis," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(01), pages 1-7, July.
    8. Bich Na Jang & Wonjeong Jeong & Soo Hyun Kang & Sung-In Jang, 2020. "Association Between the Location of Secondhand Smoke Exposure and Depressive Symptoms among South Korean Adolescents," IJERPH, MDPI, vol. 17(14), pages 1-12, July.
    9. Hayden Stewart & Jeffrey Hyman & Diansheng Dong, 2015. "Menu Labeling Fills the Gaps in Consumers’ Knowledge of the Calorie Content of Restaurant Foods," Agribusiness, John Wiley & Sons, Ltd., vol. 31(4), pages 491-506, October.
    10. Justo Manrique & Kalu Ojah, 2003. "The demand for housing in Spain: an endogenous switching regression analysis," Applied Economics, Taylor & Francis Journals, vol. 35(3), pages 323-336.
    11. Liu, Jin-Tan & Tsou, Meng-Wen & Hammitt, James K., 2009. "Willingness to pay for weight-control treatment," Health Policy, Elsevier, vol. 91(2), pages 211-218, July.
    12. Doris Läpple & Thia Hennessy & Carol Newman, 2013. "Quantifying the Economic Return to Participatory Extension Programmes in Ireland: an Endogenous Switching Regression Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 467-482, June.
    13. Parks, Joanna, 2013. "The Effects of Food Labeling and Dietary Guidance on Nutrition in the United States," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150583, Agricultural and Applied Economics Association.
    14. Jonathan Halket & Lars Nesheim & Florian Oswald, 2020. "The Housing Stock, Housing Prices, And User Costs: The Roles Of Location, Structure, And Unobserved Quality," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1777-1814, November.
    15. Acharjee, Ashis & Chakraborti, Prasun, 2024. "Study and development of a logical model for an ORC based district heating renewable energy system considering discrete analysis," Energy, Elsevier, vol. 298(C).
    16. Anura Amarasinghe & Gerard D’Souza & Cheryl Brown & Hyungna Oh & Tatiana Borisova, 2009. "The Influence of Socioeconomic and Environmental Determinants on Health and Obesity: A West Virginia Case Study," IJERPH, MDPI, vol. 6(8), pages 1-17, August.
    17. Liu, Xiaodong & Patacchini, Eleonora & Zenou, Yves & Lee, Lung-Fei, 2011. "Criminal Networks: Who is the Key Player?," Research Papers in Economics 2011:7, Stockholm University, Department of Economics.
    18. Tanimonure, Victoria Adeyemi, 2021. "Impact of Climate Adaptation Strategies on the Net Farm Revenue of Underutilized Indigenous Vegetables’ (UIVs) Production in Southwest Nigeria," 2021 Conference, August 17-31, 2021, Virtual 315903, International Association of Agricultural Economists.
    19. Rapaport, Carol, 1997. "Housing Demand and Community Choice: An Empirical Analysis," Journal of Urban Economics, Elsevier, vol. 42(2), pages 243-260, September.
    20. Edwin Van Gameren & Michiel Ras & Evelien Eggink & Ingrid Ooms, 2005. "The demand for housing services in the Netherlands," ERSA conference papers ersa05p327, European Regional Science Association.

    More about this item

    Keywords

    Health Economics and Policy;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea04:20262. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.