[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/bla/jfinan/v29y1974i4p1303-10.html
   My bibliography  Save this article

Error Rates in CRSP and Compustat Data Bases and their Implications

Author

Listed:
  • Rosenberg, Barr
  • Houglet, Michel
Abstract
No abstract is available for this item.

Suggested Citation

  • Rosenberg, Barr & Houglet, Michel, 1974. "Error Rates in CRSP and Compustat Data Bases and their Implications," Journal of Finance, American Finance Association, vol. 29(4), pages 1303-1310, September.
    • Handle: RePEc:bla:jfinan:v:29:y:1974:i:4:p:1303-10
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0022-1082%28197409%2929%3A4%3C1303%3AERICAC%3E2.0.CO%3B2-9&origin=repec
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

    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. Sergio Mayordomo & Juan Ignacio Peña & Eduardo S. Schwartz, 2014. "Are All Credit Default Swap Databases Equal?," European Financial Management, European Financial Management Association, vol. 20(4), pages 677-713, September.
    2. Hyunjung Nam & Won Gyun No & Youngsu Lee, 2017. "Are Commercial Financial Databases Reliable? New Evidence from Korea," Sustainability, MDPI, vol. 9(8), pages 1-23, August.
    3. Andreas Schwab & Eric Abrahamson & William H. Starbuck & Fiona Fidler, 2011. "PERSPECTIVE---Researchers Should Make Thoughtful Assessments Instead of Null-Hypothesis Significance Tests," Organization Science, INFORMS, vol. 22(4), pages 1105-1120, August.
    4. William Starbuck, 2004. "Methodological Challenges Posed by Measures of Performance," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 8(4), pages 337-343, October.
    5. O. M. Joy & C. P. Jones, 1979. "Earnings Reports And Market Efficiencies: An Analysis Of The Contrary Evidence," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 2(1), pages 51-63, March.
    6. Conover, Teresa L. & Nichols, Nancy B., 2000. "A Further Examination of Income Shifting Through Transfer Pricing Considering Firm Size and/or Distress," The International Journal of Accounting, Elsevier, vol. 35(2), pages 189-211, July.
    7. Ray Ball, 1977. "A Note on Errors in Variables and Estimates of Systematic Risk," Australian Journal of Management, Australian School of Business, vol. 2(1), pages 79-84, April.
    8. Huaizhi Chen & Lauren Cohen & Umit Gurun, 2019. "Don’t Take Their Word For It: The Misclassification of Bond Mutual Funds," NBER Working Papers 26423, National Bureau of Economic Research, Inc.
    9. Juan Manuel García Lara & Beatriz García Osma & Belén Gill de Albornoz Noguer, 2006. "Effects of database choice on international accounting research," Abacus, Accounting Foundation, University of Sydney, vol. 42(3‐4), pages 426-454, September.
    10. Rimona Palas & Amos Baranes, 2019. "Making investment decisions using XBRL filing data," Accounting Research Journal, Emerald Group Publishing Limited, vol. 32(4), pages 587-609, November.
    11. Klein, B. D. & Rossin, D. F., 1999. "Data quality in neural network models: effect of error rate and magnitude of error on predictive accuracy," Omega, Elsevier, vol. 27(5), pages 569-582, October.
    12. Walter Schmitting & Arnt Wöhrmann, 2013. "Konsequenzen der Datenbankwahl für die empirische Forschung mit Archivdaten," Schmalenbach Journal of Business Research, Springer, vol. 65(6), pages 553-587, November.
    13. Huaizhi Chen & Lauren Cohen & Umit G. Gurun, 2021. "Don't Take Their Word for It: The Misclassification of Bond Mutual Funds," Journal of Finance, American Finance Association, vol. 76(4), pages 1699-1730, August.
    14. Rimona Palas & Amos Baranes, 2017. "The Prediction of Earnings Movement Using Mandated XBRL data ? Industry Analysis," Proceedings of Economics and Finance Conferences 4507381, International Institute of Social and Economic Sciences.
    15. Ángela Coronado & Francisco Climent & Dolores Furió, 2021. "The Reliability of Spanish and German Electricity Forward Prices. Databases and Price Discovery Process," Mathematics, MDPI, vol. 9(6), pages 1-18, March.

    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:jfinan:v:29:y:1974:i:4:p:1303-10. 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/afaaaea.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.