IDEAS home Printed from https://ideas.repec.org/a/bla/obuest/v45y1983i4p389-92.html
   My bibliography  Save this article

Logarithmic Dependent Variables and Prediction Bias

Author

Listed:
  • Kennedy, Peter

Abstract

No abstract is available for this item.

Suggested Citation

  • Kennedy, Peter, 1983. "Logarithmic Dependent Variables and Prediction Bias," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 45(4), pages 389-392, November.
    • Handle: RePEc:bla:obuest:v:45:y:1983:i:4:p:389-92
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Robert Jäckle & Oliver Himmler, 2010. "Health and Wages: Panel Data Estimates Considering Selection and Endogeneity," Journal of Human Resources, University of Wisconsin Press, vol. 45(2).
    2. Martel García, Fernando & Wantchekon, Leonard, 2013. "A Graphical Approximation to Generalization: Definitions and Diagrams," WIDER Working Paper Series 082, World Institute for Development Economic Research (UNU-WIDER).
    3. Albert Ando & Sergio Nicoletti-Altimari, 2004. "A micro simulation model of demographic development and households' economic behavior in Italy," Temi di discussione (Economic working papers) 533, Bank of Italy, Economic Research and International Relations Area.
    4. David F. Hendry, 2013. "Econometric Modelling: The ‘Consumption Function’ In Retrospect," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(5), pages 495-522, November.
    5. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2019. "Bodenwertermittlung mit statistischen Methoden [Land value appraisal using statistical methods]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 131-154, November.
    6. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
    7. French, Ben C., 1987. "Farm Price Estimation When There Is Bargaining: The Case Of Processed Fruit And Vegetables," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(1), pages 1-10, July.
    8. Sotomayor, Orlando, 2004. "Development and Income Distribution: The Case of Puerto Rico," World Development, Elsevier, vol. 32(8), pages 1395-1406, August.
    9. Manning, Willard G., 1998. "The logged dependent variable, heteroscedasticity, and the retransformation problem," Journal of Health Economics, Elsevier, vol. 17(3), pages 283-295, June.
    10. Villoria, Nelson, 2008. "Estimation of Missing Intra-African Trade," Conference papers 331741, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Horridge, Mark & Laborde, David, 2008. "TASTE a program to adapt detailed trade and tariff data to GTAP-related purposes," Conference papers 331745, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    12. Becker, William E. & Toutkoushian, Robert K., 1995. "The measurement and cost of removing unexplained gender differences in faculty salaries," Economics of Education Review, Elsevier, vol. 14(3), pages 209-220, September.
    13. Kolbe, Jens & Schulz, Rainer & Wersing, Martin & Werwatz, Axel, 2019. "Land value appraisal using statistical methods," FORLand Working Papers 07 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    14. García Fernando Martel & Wantchekon Leonard, 2015. "A Graphical Approximation to Generalization: Definitions and Diagrams," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 71-86, June.
    15. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2015. "Identifying Berlin’s land value map using adaptive weights smoothing," Computational Statistics, Springer, vol. 30(3), pages 767-790, September.
    16. French, Ben C. & Willett, Lois Schertz, 1989. "An Econometric Model of the U.S. Asparagus Industry," Research Reports 251937, University of California, Davis, Giannini Foundation.

    More about this item

    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:bla:obuest:v:45:y:1983:i:4:p:389-92. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sfeixuk.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.