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Utility for time series data

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Christopher F. Baum
Vince Wiggins

Additional information is available for the following registered author(s):

Abstract

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File URL: http://stata-press.com/journals/stbcontents/stb57.pdf
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Publisher Info
Article provided by StataCorp LP in its journal Stata Technical Bulletin.

Volume (Year): 10 (2001)
Issue (Month): 57 ()
Pages:
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:tsj:stbull:y:2001:v:10:i:57:dm81

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Web page: http://stata-press.com/journals/stbj.html

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Christopher F. Baum, 2003. "A review of Stata 8.1 and its time series capabilities," Boston College Working Papers in Economics 581, Boston College Department of Economics. [Downloadable!]
    Other versions:
  2. Christopher F. Baum, 2004. "Topics in time series regression modeling," United Kingdom Stata Users' Group Meetings 2004 7, Stata Users Group, revised 26 Jul 2004. [Downloadable!]
Statistics
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This page was last updated on 2009-11-25.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.