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Exact Nonparametric Tests of Orthogonality and Random Walk in the Presence of a Drift Parameter

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Author Info
Campbell, Bryan
Dufour, Jean-Marie

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Abstract

In this paper, finite-sample nonparametric tests of conditional independence and random walk are extended to allow for an unknown drift parameter. The tests proposed are based on simultaneous inference methods and remain exact in the presence of general forms of feedback, nonnormality and heterskedasticity. Further, in two simulation studies, the authors confirm that the nonparametric procedures are reliable and find that they display power comparable or superior to that of conventional tests. Copyright 1997 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

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Publisher Info
Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.

Volume (Year): 38 (1997)
Issue (Month): 1 (February)
Pages: 151-73
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Handle: RePEc:ier:iecrev:v:38:y:1997:i:1:p:151-73

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  1. Jean-Marie Dufour, 2001. "Logiques et tests d'hypothèses : réflexions sur les problèmes mal posés en économétrie," CIRANO Working Papers 2001s-40, CIRANO. [Downloadable!]
    Other versions:
  2. Hallin, M. & Akker, R. van den & Werker, B.J.M., 2009. "A Class of Simple Semiparametrically Efficient Rank-Based Unit Root Tests," Discussion Paper 2009-2, Tilburg University, Center for Economic Research. [Downloadable!]
    Other versions:
  3. DUFOUR, Jean-Marie & FARHAT, Abdekjelik & HALLIN, Marc, 2005. "Distribution-Free Bounds for Serial Correlation Coefficients in Heteroskedastic Symmetric Time Series," Cahiers de recherche 2005-05, Universite de Montreal, Departement de sciences economiques. [Downloadable!]
    Other versions:
  4. ABDELKHALEK, Touhami & DUFOUR, Jean-Marie, 1997. "Statistical Inference for Computable General Equilibrium Models with Application to a Model of the Moroccan Economy," Cahiers de recherche 9713, Universite de Montreal, Departement de sciences economiques. [Downloadable!]
    Other versions:
  5. Aaron Smallwood; Alex Maynard; Mark Wohar, 2005. "The Long and the Short of It: Long Memory Regressors and Predictive Regressions," Computing in Economics and Finance 2005 384, Society for Computational Economics. [Downloadable!]
  6. Alex Maynard & Katsumi Shimotsu, 2007. "Covariance-based orthogonality tests for regressors with unknown persistence," Working Papers 1122, Queen's University, Department of Economics. [Downloadable!]
    Other versions:
  7. DUFOUR, Jean-Marie, 2005. "Monte Carlo Tests with Nuisance Parameters: A General Approach to Finite-Sample Inference and Nonstandard Asymptotics," Cahiers de recherche 2005-03, Universite de Montreal, Departement de sciences economiques. [Downloadable!]
    Other versions:
  8. DUFOUR, Jean-Marie & TORRÈS, Olivier, 2000. "Markovian Processes, Two-Sided Autoregressions and Finite-Sample Inference for Stationary and Nonstationary Autoregressive Processes," Cahiers de recherche 2000-12, Universite de Montreal, Departement de sciences economiques. [Downloadable!]
    Other versions:
  9. Jonathan H. Wright, 2000. "Exact confidence intervals for impulse responses in a Gaussian vector autoregression," International Finance Discussion Papers 682, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  10. N.E. Savin & Allan H. Wuertz, . "The Effect of Nuisance Parameters on Size and Power; LM Tests in Logit Models," Economics Working Papers 1997-17, School of Economics and Management, University of Aarhus. [Downloadable!]
  11. Jean-Marie Dufour & Abderrahim Taamouti, 2008. "Exact optimal and adaptive inference in regression models under heteroskedasticity and non-normality of unknown forms," Economics Working Papers we086027, Universidad Carlos III, Departamento de Economía. [Downloadable!]
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