IDEAS home Printed from https://ideas.repec.org/a/pal/eurjdr/v34y2022i5d10.1057_s41287-021-00479-w.html
   My bibliography  Save this article

Role of Education, Age, and Family Size on Food Insecurity in Pakistan: A Quantile Regression Analysis

Author

Listed:
  • Ahmed Raza Cheema

    (University of Sargodha)

  • Adeel Saleem

    (University of Sargodha)

  • Hubert Visas

    (University of International Business and Economics)

  • Jabbar Ul-Haq

    (University of Sargodha)

Abstract

This study estimates factors affecting food insecurity employing quantile regression never priorly used at least in Pakistan using micro-level data. The study depicts that the effects of education, age, and family size on food insecurity are different among quantiles and their effects are statistically significant. All these differences in slope coefficients are statistically significant. The effects of 12 or more years of education of the richer families (80th and 90th quantile) on food insecurity are almost four times greater than for the poorest families (10th quantile). Furthermore, the impacts of age and family size are also about three times greater. Our findings are robust and are not sensitive to food insecurity measures (i.e., Food Expenditure and Calorie Intake). The policy insinuation is that the quality of education, life span enhancing, as well as family planning facilities should be arranged especially for poor families.

Suggested Citation

  • Ahmed Raza Cheema & Adeel Saleem & Hubert Visas & Jabbar Ul-Haq, 2022. "Role of Education, Age, and Family Size on Food Insecurity in Pakistan: A Quantile Regression Analysis," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2576-2597, October.
  • Handle: RePEc:pal:eurjdr:v:34:y:2022:i:5:d:10.1057_s41287-021-00479-w
    DOI: 10.1057/s41287-021-00479-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41287-021-00479-w
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41287-021-00479-w?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Elena Grimaccia & Alessia Naccarato, 2019. "Food Insecurity Individual Experience: A Comparison of Economic and Social Characteristics of the Most Vulnerable Groups in the World," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 391-410, May.
    2. Donato Romano & Silvio Traverso, 2020. "Disentangling the Impact of International Migration on Food and Nutrition Security of Left-Behind Households: Evidence from Bangladesh," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(4), pages 783-811, September.
    3. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    4. Per Pinstrup-Andersen, 2009. "Food security: definition and measurement," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(1), pages 5-7, February.
    5. Mallick, Debdulal & Rafi, Mohammad, 2010. "Are Female-Headed Households More Food Insecure? Evidence from Bangladesh," World Development, Elsevier, vol. 38(4), pages 593-605, April.
    6. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    7. Eckart Woertz, 2017. "Food security in Iraq: results from quantitative and qualitative surveys," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(3), pages 511-522, June.
    8. Jayachandran N. Variyam & James Blaylock & David Smallwood, 2002. "Characterizing the Distribution of Macronutrient Intake among U.S. Adults: A Quantile Regression Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 454-466.
    9. Maitra, Chandana & Rao, D.S. Prasada, 2015. "Poverty–Food Security Nexus: Evidence from a Survey of Urban Slum Dwellers in Kolkata," World Development, Elsevier, vol. 72(C), pages 308-325.
    10. Patrice Rélouendé Zidouemba & Somlanare Romuald Kinda & Idrissa Mohamed Ouedraogo, 2020. "Could Covid-19 Worsen Food Insecurity in Burkina Faso?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(5), pages 1379-1401, December.
    11. Uzma Iram & Muhammad S. Butt, 2004. "Determinants of household food security: An empirical analysis for Pakistan," International Journal of Social Economics, Emerald Group Publishing, vol. 31(8), pages 753-766, July.
    12. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    13. Shiferaw T. Feleke & Richard L. Kilmer & Christina H. Gladwin, 2005. "Determinants of food security in Southern Ethiopia at the household level," Agricultural Economics, International Association of Agricultural Economists, vol. 33(3), pages 351-363, November.
    14. Greenwell C MATCHAYA & Pius CHILONDA, 2012. "Estimating Effects Of Constraints On Food Security In Malawi: Policy Lessons From Regressions Quantiles," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 12(2).
    15. Kassie, Menale & Ndiritu, Simon Wagura & Stage, Jesper, 2014. "What Determines Gender Inequality in Household Food Security in Kenya? Application of Exogenous Switching Treatment Regression," World Development, Elsevier, vol. 56(C), pages 153-171.
    16. Ahmed Raza CHEEMA* & Zafar ABBAS**, 2016. "Determinants of food Insecurity in Pakistan: Evidence from PSLM 2010-11," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 26(2), pages 183-213.
    17. Madhav Regmi & Krishna P. Paudel, 2017. "Food security in a remittance based economy," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(4), pages 831-848, August.
    18. Hennings, Enrique & Katchova, Ani L., 2005. "Business Growth Strategies Of Illinois Farms: A Quantile Regression Approach," 2005 Annual meeting, July 24-27, Providence, RI 19367, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    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. S. Wagura Ndiritu & Geoffrey Muricho, 2021. "Impact of climate change adaptation on food security: evidence from semi-arid lands, Kenya," Climatic Change, Springer, vol. 167(1), pages 1-20, July.
    2. Menale Kassie & Jesper Stage & Hailemariam Teklewold & Olaf Erenstein, 2015. "Gendered food security in rural Malawi: why is women’s food security status lower?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 7(6), pages 1299-1320, December.
    3. Kassie, Menale & Ndiritu, Simon Wagura & Stage, Jesper, 2014. "What Determines Gender Inequality in Household Food Security in Kenya? Application of Exogenous Switching Treatment Regression," World Development, Elsevier, vol. 56(C), pages 153-171.
    4. Muuz Hadush, 2018. "Welfare and food security response of animal feed and water resource scarcity in Northern Ethiopia," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-24, December.
    5. Gustavsen, Geir Waehler, 2005. "Public Policies and the Demand for Carbonated Soft Drinks: A Censored Quantile Regression Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24737, European Association of Agricultural Economists.
    6. Verner, Dorte, 2008. "Making poor Haitians count--poverty in rural and urban Haiti based on the first household survey for Haiti," Policy Research Working Paper Series 4571, The World Bank.
    7. Takeshi Daimon, 2001. "The Spatial Dimension of Welfare and Poverty: Lessons from a Regional Targeting Program in Indonesia," Working Papers EMS_2001_04, Research Institute, International University of Japan.
    8. Renuka Mahadevan & Vincent Hoang, 2016. "Is There a Link Between Poverty and Food Security?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(1), pages 179-199, August.
    9. Mahadevan, Renuka & Suardi, Sandy, 2013. "Is there a role for caste and religion in food security policy? A look at rural India," Economic Modelling, Elsevier, vol. 31(C), pages 58-69.
    10. Tibesigwa, Byela & Visser, Martine, 2016. "Assessing Gender Inequality in Food Security among Small-holder Farm Households in urban and rural South Africa," World Development, Elsevier, vol. 88(C), pages 33-49.
    11. Dzanku, Fred Mawunyo, 2019. "Food security in rural sub-Saharan Africa: Exploring the nexus between gender, geography and off-farm employment," World Development, Elsevier, vol. 113(C), pages 26-43.
    12. 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.
    13. Verner, Dorte, 2008. "Labor markets in rural and urban Haiti--based on the first household survey for Haiti," Policy Research Working Paper Series 4574, The World Bank.
    14. Borooah, Vani K., 2005. "The height-for-age of Indian children," Economics & Human Biology, Elsevier, vol. 3(1), pages 45-65, March.
    15. William Nkomoki & Miroslava Bavorová & Jan Banout, 2019. "Factors Associated with Household Food Security in Zambia," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    16. Moti Jaleta & Menale Kassie & Paswel Marenya & Chilot Yirga & Olaf Erenstein, 2018. "Impact of improved maize adoption on household food security of maize producing smallholder farmers in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(1), pages 81-93, February.
    17. Verner, Dorte, 2006. "Labor markets and income generation in rural Argentina," Policy Research Working Paper Series 4095, The World Bank.
    18. Manda, J. & Gardebroek, C. & Kuntashula, E. & Alene, A.D., 2018. "Impact of Improved Maize Varieties on Food Security in Eastern Zambia: a doubly robust analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277004, International Association of Agricultural Economists.
    19. Ahmed Raza CHEEMA* & Zafar ABBAS**, 2016. "Determinants of food Insecurity in Pakistan: Evidence from PSLM 2010-11," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 26(2), pages 183-213.
    20. Chandana Maitra & Prasada Rao, 2014. "An Empirical Investigation into Measurement and Determinants of Food Security in Slums of Kolkata," Discussion Papers Series 531, School of Economics, University of Queensland, Australia.

    More about this item

    Keywords

    Food insecurity; Education; Family size; Age; Quantile regression; Inter-quantile regressions;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

    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:pal:eurjdr:v:34:y:2022:i:5:d:10.1057_s41287-021-00479-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.