IDEAS home Printed from https://ideas.repec.org/a/ags/arerjl/200995.html
   My bibliography  Save this article

Assessing the Impact of Health Insurance and Other Socioeconomic Factors on Inequality in Health Care Expenditures among Farm Households

Author

Listed:
  • El-Osta, Hisham S.

Abstract

This research uses data from the 2005–2011 Agricultural Resource Management Survey and a two-part-model regression procedure to examine the impact of health insurance and other relevant socio-economic factors on the distribution of health care expenditures among U.S. farm households. Find-ings show the importance of privately acquired health insurance coverage in explaining inequality in health care expenditures. The results also reveal, among other things, a statistical positive association between health care expenditures and farm operators who fall into the baby boomer age category. A similar statistical association is found for higher income levels but not for inequality of income.

Suggested Citation

  • El-Osta, Hisham S., 2015. "Assessing the Impact of Health Insurance and Other Socioeconomic Factors on Inequality in Health Care Expenditures among Farm Households," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(01), pages 1-30, April.
    • Handle: RePEc:ags:arerjl:200995
    DOI: 10.22004/ag.econ.200995
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/200995/files/ARER2015%2004%20ElOsta.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.200995?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. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
    2. Boisvert, Richard N. & Ranney, Christine K., 1990. "Accounting For The Importance Of Nonfarm Income On Farm Family Income Inequality In New York," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 19(01), pages 1-11, April.
    3. Altindag, Duha & Cannonier, Colin & Mocan, Naci, 2011. "The impact of education on health knowledge," Economics of Education Review, Elsevier, vol. 30(5), pages 792-812, October.
    4. Blough, David K. & Madden, Carolyn W. & Hornbrook, Mark C., 1999. "Modeling risk using generalized linear models," Journal of Health Economics, Elsevier, vol. 18(2), pages 153-171, April.
    5. Latika Bharadwaj & Jill Findeis & Sachin Chintawar, 2013. "US Farm households: joint decision making and impact of health insurance on labor market outcomes," Health Economics Review, Springer, vol. 3(1), pages 1-19, December.
    6. Tamás Bartus, 2005. "Estimation of marginal effects using margeff," Stata Journal, StataCorp LLC, vol. 5(3), pages 309-329, September.
    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. Niels-Hugo Blunch & Nabanita Datta Gupta, 2020. "Mothers’ health knowledge for children with diarrhea: who you are or who you know?," Review of Economics of the Household, Springer, vol. 18(4), pages 1131-1164, December.
    2. Terrier, Camille, 2020. "Boys lag behind: How teachers’ gender biases affect student achievement," Economics of Education Review, Elsevier, vol. 77(C).
    3. Matthias Doepke & Fabrizio Zilibotti, 2005. "The Macroeconomics of Child Labor Regulation," American Economic Review, American Economic Association, vol. 95(5), pages 1492-1524, December.
    4. Thomas J. Kane & Cecilia Elena Rouse & Douglas Staiger, 1999. "Estimating Returns to Schooling When Schooling is Misreported," NBER Working Papers 7235, National Bureau of Economic Research, Inc.
    5. Eckstein, Zvi & Zilcha, Itzhak, 1994. "The effects of compulsory schooling on growth, income distribution and welfare," Journal of Public Economics, Elsevier, vol. 54(3), pages 339-359, July.
    6. Katz, Lawrence & Duncan, Greg J. & Kling, Jeffrey R. & Kessler, Ronald C. & Ludwig, Jens & Sanbonmatsu, Lisa & Liebman, Jeffrey B., 2008. "What Can We Learn about Neighborhood Effects from the Moving to Opportunity Experiment?," Scholarly Articles 2766959, Harvard University Department of Economics.
    7. G. Bellettini & C. Berti Ceroni, 2000. "Compulsory schooling laws and the cure against child labor," Working Papers 394, Dipartimento Scienze Economiche, Universita' di Bologna.
    8. Holmlund, Helena, 2007. "A Researcher's Guide to the Swedish Compulsory School Reform," Working Paper Series 9/2007, Stockholm University, Swedish Institute for Social Research.
    9. Sonja Fagernäs, 2011. "Protection through Proof of Age. Birth Registration and Child Labor in Early 20th Century USA," Working Paper Series 2311, Department of Economics, University of Sussex Business School.
    10. Battaglia, Marianna & Lebedinski, Lara, 2015. "Equal Access to Education: An Evaluation of the Roma Teaching Assistant Program in Serbia," World Development, Elsevier, vol. 76(C), pages 62-81.
    11. Meng, Xin & Zhao, Guochang, 2021. "The long shadow of a large scale education interruption: The intergenerational effect," Labour Economics, Elsevier, vol. 71(C).
    12. Belzil, Christian & Hansen, Jorgen, 2007. "A structural analysis of the correlated random coefficient wage regression model," Journal of Econometrics, Elsevier, vol. 140(2), pages 827-848, October.
    13. Martin Nordin & Dan-Olof Rooth, 2014. "Increasing Returns to Schooling by Ability? A Comparison between the USA and Sweden," Manchester School, University of Manchester, vol. 82, pages 1-20, December.
    14. Michele Cantarella & Chiara Strozzi, 2021. "Workers in the crowd: the labor market impact of the online platform economy [An evaluation of instrumental variable strategies for estimating the effects of catholic schooling]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(6), pages 1429-1458.
    15. Muhammad Masood Azeem & Amin W. Mugera & Steven Schilizzi & Kadambot H. M. Siddique, 2017. "An Assessment of Vulnerability to Poverty in Punjab, Pakistan: Subjective Choices of Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 117-152, October.
    16. Ruoxuan Xiong & Allison Koenecke & Michael Powell & Zhu Shen & Joshua T. Vogelstein & Susan Athey, 2021. "Federated Causal Inference in Heterogeneous Observational Data," Papers 2107.11732, arXiv.org, revised Apr 2023.
    17. repec:dau:papers:123456789/4924 is not listed on IDEAS
    18. Christophe J. Nordman & François-Charles Wolff, 2009. "Is There a Glass Ceiling in Morocco? Evidence from Matched Worker--Firm Data," Journal of African Economies, Centre for the Study of African Economies, vol. 18(4), pages 592-633, August.
    19. Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
    20. Mónica L. Caudillo, 2019. "Advanced School Progression Relative to Age and Early Family Formation in Mexico," Demography, Springer;Population Association of America (PAA), vol. 56(3), pages 863-890, June.
    21. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.

    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:arerjl:200995. 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/nareaea.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.