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The sensitivity of nonparametric misspecification tests to disturbance autocorrelation

  • Andrea Vaona

    ()

    (Istituto Ricerche Economiche, Faculty of Economic Sciences, University of Lugano, Switzerland.)

We show that some nonparametric specification tests can be robust to disturbance autocorrelation. This robustness can be affected by the specification of the true model and by the sample size. Once applied to the prediction of changes in the Euro Repo rate by means of an index based on ECB wording, we find that the least sensitive nonparametric tests can have a comparable performance to a RESET test with robust standard errors.

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File URL: http://doc.rero.ch/lm.php?url=1000,42,6,20080414122757-FO/wp0803.pdf
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Paper provided by USI Università della Svizzera italiana in its series Quaderni della facoltà di Scienze economiche dell'Università di Lugano with number 0803.

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Length: 24 pages
Date of creation: 11 Apr 2008
Date of revision:
Handle: RePEc:lug:wpaper:0803
Contact details of provider: Web page: https://www.bul.sbu.usi.ch

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  1. Lawrence Dacuycuy, 2006. "On the finite sampling properties of the Zheng test for omitted and irrelevant variable problems," Applied Economics Letters, Taylor & Francis Journals, vol. 13(11), pages 681-684.
  2. E. Guerre & Pascal Lavergne, 2000. "Minimax Rates for Nonparametric Specification Testing in Regression Models," Econometric Society World Congress 2000 Contributed Papers 0644, Econometric Society.
  3. Juan Mora & Daniel Miles, 2002. "On The Performance Of Nonparametric Specification Tests In Regression Models," Working Papers. Serie AD 2002-13, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  4. Siu Fai Leung & Shihti Yu, 2001. "The sensitivity of the RESET tests to disturbance autocorrelation in regression analysis," Empirical Economics, Springer, vol. 26(4), pages 721-726.
  5. Bierens, H.J., 1989. "A consistent conditional moment test of functional form," Serie Research Memoranda 0064, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  6. Cheng Hsiao & Qi Li & Jeff Racine, 2006. "A Consistent Model Specification Test with Mixed Discrete and Continuous Data," IEPR Working Papers 06.47, Institute of Economic Policy Research (IEPR).
  7. Emmanuel Guerre & Pascal Lavergne, 2004. "Data-Driven Rate-Optimal Specification Testing In Regression Models," Econometrics 0411008, EconWPA.
  8. Juan Carlos Escanciano, 2005. "A Consistent Diagnostic Test for Regression Models Using Projections," Faculty Working Papers 09/05, School of Economics and Business Administration, University of Navarra.
  9. Glenn Ellison & Sara Fisher Ellison, 1998. "A Simple Framework for Nonparametric Specification Testing," NBER Technical Working Papers 0234, National Bureau of Economic Research, Inc.
  10. John Xu Zheng, 1996. "A consistent test of functional form via nonparametric estimation techniques," Journal of Econometrics, Elsevier, vol. 75(2), pages 263-289, December.
  11. repec:ebl:ecbull:v:3:y:2005:i:21:p:1-6 is not listed on IDEAS
  12. Guay, Alain & Guerre, Emmanuel, 2006. "A Data-Driven Nonparametric Specification Test For Dynamic Regression Models," Econometric Theory, Cambridge University Press, vol. 22(04), pages 543-586, August.
  13. Rosa, Carlo & Verga, Giovanni, 2007. "On the consistency and effectiveness of central bank communication: Evidence from the ECB," European Journal of Political Economy, Elsevier, vol. 23(1), pages 146-175, March.
  14. Guerre, Emmanuel & Lavergne, Pascal, 2002. "Optimal Minimax Rates For Nonparametric Specification Testing In Regression Models," Econometric Theory, Cambridge University Press, vol. 18(05), pages 1139-1171, October.
  15. Porter, Richard D. & Kashyap, Anil K., 1984. "Autocorrelation and the sensitivity of reset," Economics Letters, Elsevier, vol. 14(2-3), pages 229-233.
  16. Lawrence Dacuycuy, 2005. "A note on the comparative performance of the Zheng and Elisson-Elisson tests for omitted variables in regression models," Economics Bulletin, AccessEcon, vol. 3(21), pages 1-6.
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