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Econometric Modelling with Time Series


  • Martin,Vance
  • Hurn,Stan
  • Harris,David


This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments estimation, nonparametric estimation and estimation by simulation. An important advantage of adopting the principle of maximum likelihood as the unifying framework for the book is that many of the estimators and test statistics proposed in econometrics can be derived within a likelihood framework, thereby providing a coherent vehicle for understanding their properties and interrelationships. In contrast to many existing econometric textbooks, which deal mainly with the theoretical properties of estimators and test statistics through a theorem-proof presentation, this book squarely addresses implementation to provide direct conduits between the theory and applied work.

Suggested Citation

  • Martin,Vance & Hurn,Stan & Harris,David, 2013. "Econometric Modelling with Time Series," Cambridge Books, Cambridge University Press, number 9780521196604, May.
  • Handle: RePEc:cup:cbooks:9780521196604

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    References listed on IDEAS

    1. Prebisch, Raúl, 1950. "The economic development of Latin America and its principal problems," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 29973, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    2. Justin Yifu Lin, 2011. "New Structural Economics: A Framework for Rethinking Development," World Bank Research Observer, World Bank Group, vol. 26(2), pages 193-221, August.
    3. Justin Yifu Lin, 2012. "New Structural Economics : A Framework for Rethinking Development and Policy," World Bank Publications, The World Bank, number 2232.
    4. Lin, Justin Yifu, 2003. "Development Strategy, Viability, and Economic Convergence," Economic Development and Cultural Change, University of Chicago Press, vol. 51(2), pages 276-308, January.
    5. Dirk Willem te Velde & Justin Lin & Célestin Monga & Suresh D. Tendulkar & Alice Amsden & K. Y. Amoako & Howard Pack & Wonhyuk Lim, 2011. "DPR Debate: Growth Identification and Facilitation: The Role of the State in the Dynamics of Structural Change," Development Policy Review, Overseas Development Institute, vol. 29(3), pages 259-310, May.
    6. Lin, Justin Yifu, 1992. "Rural Reforms and Agricultural Growth in China," American Economic Review, American Economic Association, vol. 82(1), pages 34-51, March.
    7. Gene M. Grossman & Elhanan Helpman, 1996. "Electoral Competition and Special Interest Politics," Review of Economic Studies, Oxford University Press, vol. 63(2), pages 265-286.
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    Cited by:

    1. David Harris & Hsein Kew, 2014. "Portmanteau Autocorrelation Tests Under Q-Dependence And Heteroskedasticity," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(3), pages 203-217, May.
    2. Alonso-Rodriguez, Agustin, 2017. "The CO2 emissions in Finland, Norway and Sweden: a dynamic relationship," EconStor Preprints 171259, ZBW - German National Library of Economics.
    3. Souček, Michael & Todorova, Neda, 2013. "Realized volatility transmission between crude oil and equity futures markets: A multivariate HAR approach," Energy Economics, Elsevier, vol. 40(C), pages 586-597.

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