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Marie Rekkas

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This is information that was supplied by Marie Rekkas in registering through RePEc. If you are Marie Rekkas , you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name: Marie
Middle Name:
Last Name: Rekkas
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RePEc Short-ID: pre255

Email: [This author has chosen not to make the email address public]
Homepage: http://www.sfu.ca/~mrekkas
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Affiliation

Department of Economics
Simon Fraser University
Location: Burnaby, Canada
Homepage: http://www.sfu.ca/economics/
Email:
Phone: (778) 782-3508
Fax: (778) 782-5944
Postal: Burnaby, B.C., V5A 1S6
Handle: RePEc:edi:desfuca (more details at EDIRC)

Works

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Articles

  1. Rekkas, M., 2009. "Approximate inference for the multinomial logit model," Statistics & Probability Letters, Elsevier, vol. 79(2), pages 237-242, January.
  2. Rekkas, M. & Wong, A., 2008. "Implementing likelihood-based inference for fat-tailed distributions," Finance Research Letters, Elsevier, vol. 5(1), pages 32-46, March.
  3. Kevin Milligan & Marie Rekkas, 2008. "Campaign spending limits, incumbent spending, and election outcomes," Canadian Journal of Economics, Canadian Economics Association, vol. 41(4), pages 1351-1374, November.
  4. M. Rekkas & Y. Sun & A. Wong, 2008. "Improved inference for first-order autocorrelation using likelihood analysis," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(3), pages 513-532, 05.
  5. Marie Rekkas, 2007. "The Impact of Campaign Spending on Votes in Multiparty Elections," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 573-585, August.
  6. Rekkas, M. & Wong, A., 2005. "Third-order inference for the Weibull distribution," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 499-525, April.
  7. Fraser, D.A.S. & Rekkas, M. & Wong, A., 2005. "Highly accurate likelihood analysis for the seemingly unrelated regression problem," Journal of Econometrics, Elsevier, vol. 127(1), pages 17-33, July.

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