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Bounded-Influence Estimators for the Sure Model

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  • Franco Peracchi

    (UCLA)

Abstract

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  • Franco Peracchi, 1988. "Bounded-Influence Estimators for the Sure Model," UCLA Economics Working Papers 521, UCLA Department of Economics.
  • Handle: RePEc:cla:uclawp:521
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    File URL: http://www.econ.ucla.edu/workingpapers/wp521.pdf
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    References listed on IDEAS

    as
    1. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    2. Krasker, William S. & Kuh, Edwin & Welsch, Roy E., 1983. "Estimation for dirty data and flawed models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 11, pages 651-698, Elsevier.
    3. Krasker, William S, 1980. "Estimation in Linear Regression Models with Disparate Data Points," Econometrica, Econometric Society, vol. 48(6), pages 1333-1346, September.
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    Cited by:

    1. Cizek, P., 2009. "Generalized Methods of Trimmed Moments," Discussion Paper 2009-25, Tilburg University, Center for Economic Research.
    2. Chihwa Kao, 2001. "Geography, Industrial Organization, and Agglomeration Heteroskedasticity Models with Estimates of the Variances of Foreign Exchange Rates," Center for Policy Research Working Papers 34, Center for Policy Research, Maxwell School, Syracuse University.
    3. Mick Silver & Christos Ioannidis, 2001. "Intercountry Differences in the Relationship between Relative Price Variability and Average Prices," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 355-374, April.
    4. Franco Peracchi, 1988. "Robust M-Estimators," UCLA Economics Working Papers 477, UCLA Department of Economics.

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