IDEAS home Printed from https://ideas.repec.org/p/ags/waeaar/321391.html
   My bibliography  Save this paper

Maximum Likelihood Estimation of a Bivariate Two-Limit Model

Author

Listed:
  • Shonkwiler, J.S.
  • Harris, T.R.

Abstract

No abstract is available for this item.

Suggested Citation

  • Shonkwiler, J.S. & Harris, T.R., 1992. "Maximum Likelihood Estimation of a Bivariate Two-Limit Model," WAEA/ WFEA Conference Archive (1929-1995) 321391, Western Agricultural Economics Association.
  • Handle: RePEc:ags:waeaar:321391
    DOI: 10.22004/ag.econ.321391
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/321391/files/giannini-misc-524.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.321391?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. Chesher, Andrew, 1985. "Score tests for zero covariances in recursive linear models for grouped or censored data," Journal of Econometrics, Elsevier, vol. 28(3), pages 291-305, June.
    2. Huang, Cliff J & Sloan, Frank A & Adamache, Killard W, 1987. "Estimation of Seemingly Unrelated Tobit Regressions via the EM Algorithm," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(3), pages 425-430, July.
    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. Thomas R Harris & J. S. Shonkwiler, 1994. "Application Of Maximum Likelihood To A Bivariate Two-Limit Tobit Model For Estimation Of Rural Retail Sales Potential," The Review of Regional Studies, Southern Regional Science Association, vol. 24(2), pages 143-159, Fall.
    2. Jinhyun Lee, 2013. "A Consistent Nonparametric Bootstrap Test of Exogeneity," Discussion Paper Series, School of Economics and Finance 201316, School of Economics and Finance, University of St Andrews.
    3. Ho-Chuan Huang, 2001. "Bayesian analysis of the SUR Tobit model," Applied Economics Letters, Taylor & Francis Journals, vol. 8(9), pages 617-622.
    4. Timothy Park & John Loomis, 1996. "Joint estimation of contingent valuation survey responses," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 7(2), pages 149-162, March.
    5. Colson, Gregory, 2009. "Improving nutrient content through genetic modification: Evidence from experimental auctions on consumer acceptance and willingness to pay for intragenic foods," ISU General Staff Papers 200901010800001872, Iowa State University, Department of Economics.
    6. Ishdorj, Ariun & Jensen, Helen H., 2010. "Demand For Breakfast Cereals: Whole Grains Guidance And Food Choice," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116445, European Association of Agricultural Economists.
    7. Colson, Gregory & Huffman, Wallace E. & Rousu, Matthew C., 2011. "Improving the Nutrient Content of Food through Genetic Modification: Evidence from Experimental Auctions on Consumer Acceptance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(2), pages 1-22, August.
    8. Qian, Hang, 2009. "Estimating SUR Tobit Model while errors are gaussian scale mixtures: with an application to high frequency financial data," MPRA Paper 31509, University Library of Munich, Germany.
    9. Ishdorj, Ariun, 2008. "Essays on food assistance program participation and demand for food," ISU General Staff Papers 2008010108000016750, Iowa State University, Department of Economics.
    10. Lee, Jinhyun, 2013. "A Consistent Nonparametric Bootstrap Test of Exogeneity," SIRE Discussion Papers 2013-95, Scottish Institute for Research in Economics (SIRE).
    11. Huang, Ho-Chuan (River), 1999. "Estimation of the SUR Tobit model via the MCECM algorithm," Economics Letters, Elsevier, vol. 64(1), pages 25-30, July.
    12. Aminou Arouna & Stephan Dabbert, 2010. "Determinants of Domestic Water Use by Rural Households Without Access to Private Improved Water Sources in Benin: A Seemingly Unrelated Tobit Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1381-1398, May.

    More about this item

    Keywords

    Research Methods/ Statistical Methods;

    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:waeaar:321391. 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/waeaaea.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.