On the robustness of two alternatives to least squares: A Monte Carlo study
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 56 (1997)
Issue (Month): 1 (September)
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Web page: http://www.elsevier.com/locate/ecolet
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.:
- Phillips, Robert F., 1994. "Partially adaptive estimation via a normal mixture," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 123-144.
- Newey, Whitney K., 1988. "Adaptive estimation of regression models via moment restrictions," Journal of Econometrics, Elsevier, vol. 38(3), pages 301-339, July.
- Potscher, Benedikt M. & Prucha, Ingmar R., 1986. "A class of partially adaptive one-step m-estimators for the non-linear regression model with dependent observations," Journal of Econometrics, Elsevier, vol. 32(2), pages 219-251, July.
- Natasha Yakovchuk & Thomas Willemain, 2005. "Monte carlo comparison of estimation methods for additive two-way tables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(4), pages 351-374.
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