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Testing Serial Correlation in Semiparametric Time Series Models

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  • DINGDING LI
  • THANASIS STENGOS

Abstract

In this paper, we propose two test statistics for testing serial correlation in semiparametric time series model that could allow lagged dependent variables as explanatory variables. The first one is testing for zero first-order serial correlation and the second is for testing higher-order serial correlation. The test statistics are shown to have asymptotic normal or chi^2 distributions under the assumption of a martingale difference error process. Our results generalize some of the test statistics of Li and Hsiao (1998), that were developed for the case of panel data with a large N and a fixed T, to the case of a large T with N either small or large. Copyright 2003 Blackwell Publishing Ltd.

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Bibliographic Info

Article provided by Wiley Blackwell in its journal Journal of Time Series Analysis.

Volume (Year): 24 (2003)
Issue (Month): 3 (05)
Pages: 311-335

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Handle: RePEc:bla:jtsera:v:24:y:2003:i:3:p:311-335

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Cited by:
  1. Neophyta Empora & Theofanis Mamuneas, 2011. "The Effect of Emissions on U.S. State Total Factor Productivity Growth," Review of Economic Analysis, Rimini Centre for Economic Analysis, vol. 3(2), pages 149-172, October.
  2. Jie He & Patrick Richard, 2009. "Environmental Kuznets Curve for CO2 in Canada," Cahiers de recherche 09-13, Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke.
  3. Hu, Xuemei & Wang, Zhizhong & Liu, Feng, 2008. "Zero finite-order serial correlation test in a semi-parametric varying-coefficient partially linear errors-in-variables model," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1560-1569, September.
  4. Poudel, Biswo N. & Paudel, Krishna P. & Bhattarai, Keshav, 2009. "Searching for an Environmental Kuznets Curve in Carbon Dioxide Pollutant in Latin American Countries," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(01), April.
  5. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.

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