IDEAS home Printed from https://ideas.repec.org/a/eee/econom/v22y1983i3p323-338.html
   My bibliography  Save this article

A general analysis of bias in the estimated standard errors of least squares coefficients

Author

Listed:
  • Greenwald, Bruce C.

Abstract

No abstract is available for this item.

Suggested Citation

  • Greenwald, Bruce C., 1983. "A general analysis of bias in the estimated standard errors of least squares coefficients," Journal of Econometrics, Elsevier, vol. 22(3), pages 323-338, August.
    • Handle: RePEc:eee:econom:v:22:y:1983:i:3:p:323-338
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0304-4076(83)90108-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    Citations

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


    Cited by:

    1. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    2. David G. Blanchflower & Andrew Oswald, 1995. "International Wage Curves," NBER Chapters, in: Differences and Changes in Wage Structures, pages 145-174, National Bureau of Economic Research, Inc.
    3. Valentine Fays & Benoit Mahy & François Rycx, 2021. "Wage Differences According to Workers’ Origin: The Role of Working More Upstream in GVCs," Working Papers CEB 21-016, ULB -- Universite Libre de Bruxelles.
    4. Therry Lallemand & François Rycx, 2006. "Establishment Size and the Dipsersion of Wages: Evidence from european Countries," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 52(4), pages 309-336.
    5. Hao, Can Liu & Mullan, Katrina & Rong, Qingjiao & Zhu, Wenqing, 2013. "Have the Key Priority Forestry Programs Really Impacted on China’s Rural Household Income," PEP Working Papers 160429, Partnership for Economic Policy (PEP).
    6. Philip Du Caju & François Rycx & Ilan Tojerow, 2012. "Wage structure effects of international trade in a small open economy: the case of Belgium," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 148(2), pages 297-331, June.
    7. Ilan Tojerow & François Rycx, 2004. "Rent-sharing and the gender wage gap in Belgium," ULB Institutional Repository 2013/245700, ULB -- Universite Libre de Bruxelles.
    8. Kolasa Marcin, 2008. "How does FDI inflow affect productivity of domestic firms? The role of horizontal and vertical spillovers, absorptive capacity and competition," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 17(1), pages 155-173.
    9. Robert Plasman & François Rycx & Ilan Tojerow, 2006. "Industry wage differentials, unobserved ability, and rent-sharing : Evidence from matched worker-firm data, 1995-2002," Working Paper Research 90, National Bank of Belgium.
    10. Schicks, Jessica, 2014. "Over-Indebtedness in Microfinance – An Empirical Analysis of Related Factors on the Borrower Level," World Development, Elsevier, vol. 54(C), pages 301-324.
    11. Vikström, Johan, 2009. "Cluster sample inference using sensitivity analysis: the case with few groups," Working Paper Series 2009:15, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    12. A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 107, University of California, Davis, Department of Economics.
    13. Thierry Lallemand & Robert Plasman & François Rycx, 2007. "The establishment-size wage premium: evidence from European countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 34(5), pages 427-451, December.
    14. François Gardes, 2021. "Biases on variances estimated on large data-sets," Documents de travail du Centre d'Economie de la Sorbonne 21022, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    15. François Gardes, 2021. "Biases on variances estimated on large data-sets," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03325118, HAL.
    16. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    17. Liu, Can & Mullan, Katrina & Liu, Hao & Zhu, Wenqing & Rong, Qingjiao, 2014. "The estimation of long term impacts of China's key priority forestry programs on rural household incomes," Journal of Forest Economics, Elsevier, vol. 20(3), pages 267-285.
    18. Jonah B. Gelbach & Doug Miller, 2009. "Robust Inference with Multi-way Clustering," Working Papers 226, University of California, Davis, Department of Economics.
    19. Thierry Lallemand & Robert Plasman & François Rycx, 2008. "Women and Competition in Elimination Tournaments," Journal of Sports Economics, , vol. 9(1), pages 3-19, February.
    20. A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 318, University of California, Davis, Department of Economics.
    21. Nicola Gagliardi & Benoît Mahy & François Rycx, 2018. "Upstreamness, social upgrading and gender: Equal benefits for all?," Working Paper Research 359, National Bank of Belgium.
    22. Nicola Gagliardi & Benoît Mahy & François Rycx, 2021. "Upstreamness, Wages and Gender: Equal Benefits for All?," British Journal of Industrial Relations, London School of Economics, vol. 59(1), pages 52-83, March.
    23. Robert Plasman & François Rycx & Ilan Tojerow, 2006. "Industry wage differentials, unobserved ability, and rent-sharing: evidence from matched employer-employee, 1992-2005," DULBEA Working Papers 06-14.RS, ULB -- Universite Libre de Bruxelles.
    24. Can Liu Hao & Katrina Mullan & Qingjiao Rong & Wenqing Zhu, 2013. "Have the Key Priority Forestry Programs Really Impacted on China's Rural Household Income," Working Papers PIERI 2013-08, PEP-PIERI.
    25. François Gardes, 2021. "Biases on variances estimated on large data-sets," Post-Print halshs-03325118, HAL.

    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:eee:econom:v:22:y:1983:i:3:p:323-338. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/jeconom .

    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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jeconom .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.