IDEAS home Printed from https://ideas.repec.org/p/ags/saea13/143033.html
   My bibliography  Save this paper

The Determinants of Food Expenditures in the Urban Households of Ghana: A Quantile Regression Approach

Author

Listed:
  • Meng, Ting
  • Florkowski, Wojciech J.
  • Sarpong, Daniel Bruce
  • Resurreccion, Anna V.A.
  • Chinnan, Manjeet S.

Abstract

The study applies quantile regression to identify determinants of the entire distribution of food expenditure, and quantify their effects amongGhana’s urban household subgroups. The results indicate that among the significant factors the largest effect in descending order havelocation, marital status, education, household composition, age, and income.

Suggested Citation

  • Meng, Ting & Florkowski, Wojciech J. & Sarpong, Daniel Bruce & Resurreccion, Anna V.A. & Chinnan, Manjeet S., 2013. "The Determinants of Food Expenditures in the Urban Households of Ghana: A Quantile Regression Approach," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143033, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea13:143033
    DOI: 10.22004/ag.econ.143033
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/143033/files/The%20Determinants%20of%20Food%20Expenditures%20in%20the%20Urban%20Households%20of%20Ghana-%20A%20Quantile%20Regression%20Approach.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.143033?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. Stewart, Hayden & Blisard, Noel & Jolliffe, Dean, 2003. "Do Income Constraints Inhibit Spending on Fruits and Vegetables Among Low-Income Households?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-16, December.
    2. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    3. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Traore, Breima & Traore, Anna, 2023. "Determinants of Household Food Expenditure in Mali: A Quintile Regression Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 11(1), January.

    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. Mirpourian, Mehrdad, 2020. "A Gendered Look at Savings Behavior among Nigerian Microsavers," MPRA Paper 103062, University Library of Munich, Germany.
    2. 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.
    3. Mirpourian, Mehrdad, 2020. "A Gendered Look at Savings Behavior among Nigerian Microsavers," MPRA Paper 103221, University Library of Munich, Germany.
    4. Gustavsen, Geir Waehler & Rickertsen, Kyrre, 2004. "For Whom Reduced Prices Count: A Censored Quantile Regression Analysis Of Vegetable Demand," 2004 Annual meeting, August 1-4, Denver, CO 20172, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    6. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    7. Aboura, Sofiane & Chevallier, Julien, 2016. "Spikes and crashes in the oil market," Research in International Business and Finance, Elsevier, vol. 36(C), pages 615-623.
    8. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    9. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.
    10. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    11. Narula, Subhash C. & Wellington, John F. & Lewis, Stephen A., 2012. "Valuating residential real estate using parametric programming," European Journal of Operational Research, Elsevier, vol. 217(1), pages 120-128.
    12. Abhinava Tripathi, 2021. "The Arrival of Information and Price Adjustment Across Extreme Quantiles: Global Evidence," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 7-19, January.
    13. Yayan Hernuryadin & Koji Kotani & Tatsuyoshi Saijo, 2020. "Time Preferences of Food Producers: Does “Cultivate and Grow” Matter?," Land Economics, University of Wisconsin Press, vol. 96(1), pages 132-148.
    14. Klomp, Jeroen, 2013. "Government interventions and default risk: Does one size fit all?," Journal of Financial Stability, Elsevier, vol. 9(4), pages 641-653.
    15. Bampinas, Georgios & Panagiotidis, Theodore, 2016. "Hedging inflation with individual US stocks: A long-run portfolio analysis," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 374-392.
    16. Wehby, George L. & Castilla, Eduardo E. & Lopez-Camelo, Jorge, 2010. "The impact of altitude on infant health in South America," Economics & Human Biology, Elsevier, vol. 8(2), pages 197-211, July.
    17. Strike Mbulawa & Francis Nathan Okurut & Mogale Ntsosa & Narain Sinha, 2020. "Dynamics of Corporate Dividend Policy under Hyperinflation and Dollarization: A Quantile Regression Approach," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 13(3), pages 70-82, December.
    18. Goodarzi, Shadi & Perera, H. Niles & Bunn, Derek, 2019. "The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices," Energy Policy, Elsevier, vol. 134(C).
    19. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    20. Duschl, Matthias & Schimke, Antje & Brenner, Thomas & Luxen, Dennis, 2011. "Firm growth and the spatial impact of geolocated external factors: Empirical evidence for German manufacturing firms," Working Paper Series in Economics 36, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.

    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:saea13:143033. 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/saeaaea.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.