IDEAS home Printed from https://ideas.repec.org/a/ags/agreko/31706.html
   My bibliography  Save this article

A production function analysis of commercial dairy farms in the Highlands of Eritrea using ridge regression

Author

Listed:
  • Ghebremariam, W.K.
  • Ortmann, Gerald F.
  • Nsahlai, I.V.

Abstract

This study presents a production function analysis of fresh milk production in the Highlands of Eritrea, where most dairy farmers in Eritrea are located. To ensure representative production functions, this region was divided into three relatively homogenous study areas, namely Central Zone, Mendefera and Dekemhare. Most data for the study were collected in a survey of 120 respondents using a structured questionnaire. To obviate the problem of multicollinearity among explainatory variables, ridge regression was used to estimate milk production functions for each study area. Production elasticities of variable inputs, marginal products (MPx), values of marginal products (VMPx), marginal rates of input substitution (MRS) and least-cost combinations of purchased concentrates and forage were estimated for the three regions. The VMPs of all inputs for Central Zone dairy farmer respondents were estimated to be greater than their input prices, implying that the resources were under-utilized from a profit-maximising perspective (i.e. where VMPx = Px). However, respondents in Mendefera and Dekemhare used concentrates in excess of optimum levels (i.e. VMPx

Suggested Citation

  • Ghebremariam, W.K. & Ortmann, Gerald F. & Nsahlai, I.V., 2006. "A production function analysis of commercial dairy farms in the Highlands of Eritrea using ridge regression," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(2), pages 1-18, June.
  • Handle: RePEc:ags:agreko:31706
    DOI: 10.22004/ag.econ.31706
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/31706/files/4502225.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.31706?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. Vinod, Hrishikesh D, 1978. "A Survey of Ridge Regression and Related Techniques for Improvements over Ordinary Least Squares," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 121-131, February.
    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. Ishmael Ackah, 2014. "Determinants of natural gas demand in Ghana," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 38(3), pages 272-295, September.
    2. Wan Fung Lee & Jeffrey W. Bulcock & Wo Shun Luk, 1984. "The R2 Ridge Trace in 2SLS Regression Estimation," Sociological Methods & Research, , vol. 13(2), pages 219-249, November.
    3. Jeffrey W. Bulcock & Wan Fung Lee, 1983. "Normalization Ridge Regression in Practice," Sociological Methods & Research, , vol. 11(3), pages 259-303, February.
    4. Embaye, Weldensie T. & Zereyesus, Yacob A., 2017. "Measuring the value of housing services in household surveys: an application of machine learning approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252851, Southern Agricultural Economics Association.
    5. Li, Zhichuan Frank & Lin, Shannon & Sun, Shuna & Tucker, Alan, 2018. "Risk-adjusted inside debt," Global Finance Journal, Elsevier, vol. 35(C), pages 12-42.
    6. Tambi, N. E. & Mukhebi, W. A. & Maina, W. O. & Solomon, H. -M., 1999. "Probit analysis of livestock producers' demand for private veterinary services in the high potential agricultural areas of Kenya," Agricultural Systems, Elsevier, vol. 59(2), pages 163-176, February.
    7. Yanagida, John F. & Conway, Roger K., 1979. "An Examination Of Demand Functions For Beef, Pork, And Broilers," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 8(2), pages 1-14, October.
    8. Mohammad Movahedi & Olivier Gaussens, 2013. "Les effets de l’exportation sur l’innovation et la productivité : Analyse empirique sur un échantillon de PMI," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201307, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    9. Huang, Ju-Chin, 1999. "Improving the estimation precision for a selected parameter in multiple regression analysis: an algebraic approach," Economics Letters, Elsevier, vol. 62(3), pages 261-264, March.
    10. James Fennessey & Ronald D'Amico, 1980. "Collinearity, Ridge Regression, and Investigator Judgment," Sociological Methods & Research, , vol. 8(3), pages 309-340, February.
    11. Ullah, A. & Vinod, H. D. & Kadiyala, R. K., 1978. "A Family Of Improved Ordinary Ridge Estimators," Econometric Institute Archives 272169, Erasmus University Rotterdam.
    12. Yanagida, John F. & Conway, Roger K., 1979. "An Examination Of Demand Functions For Beef, Pork, And Broilers," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 2), pages 1-14, October.
    13. Gillian A. Lancaster & Mick Green & Steven Lane, 2006. "Reducing bias in ecological studies: an evaluation of different methodologies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 681-700, October.
    14. Tian, Shaonan & Yu, Yan & Guo, Hui, 2015. "Variable selection and corporate bankruptcy forecasts," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 89-100.
    15. Thomas M Fullerton Jr & Eiichi Araki, 2004. "A Theoretical Model of Industrial Economy Inflationary Dynamics," Macroeconomics 0408007, University Library of Munich, Germany.
    16. A. D. Owen, 1979. "The Demand for Wine in Australia, 1955–1977," The Economic Record, The Economic Society of Australia, vol. 55(3), pages 230-235, September.
    17. V. Srivastava & A. Chaturvedi, 1983. "Some properties of the distribution of an operational ridge estimator," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 30(1), pages 227-237, December.
    18. Alkhamisi, M.A. & Shukur, Ghazi, 2007. "Developing Ridge Parameters for SUR Models," Working Paper Series in Economics and Institutions of Innovation 80, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    19. Zeebari, Zangin & Shukur, Ghazi & Kibria, B. M. Golam, 2010. "Modified Ridge Parameters for Seemingly Unrelated Regression Model," HUI Working Papers 43, HUI Research.
    20. Vinod, H. D., 1995. "Double bootstrap for shrinkage estimators," Journal of Econometrics, Elsevier, vol. 68(2), pages 287-302, August.

    More about this item

    Keywords

    Production Economics;

    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:agreko:31706. 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/aeasaea.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.