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Econometric Modelling of Changing Time Series

Author

Listed:
  • David Hendry
  • Grayham E. Mizon

Abstract

We model expenditure on food in the USA, using an extended time series. Even when a theory is essentially 'correct', it can manifest serious mis-specification if just fitted to data, ignoring its observed characteristics and major external events such as wars, recessions and policy changes. When the same theory is embedded in a general framework embracing dynamics and structural breaks, it performs well even over an extended data period, as shown using Autometrics with impulse-indicator saturation. Although this particular illustration involves a simple theory, the point made is generic, and applies no matter how sophisticated the theory.

Suggested Citation

  • David Hendry & Grayham E. Mizon, 2010. "Econometric Modelling of Changing Time Series," Economics Series Working Papers 475, University of Oxford, Department of Economics.
  • Handle: RePEc:oxf:wpaper:475
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    File URL: https://ora.ox.ac.uk/objects/uuid:96964701-a182-4867-89b1-5f229fc93ac0
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    Citations

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    Cited by:

    1. Paul Plummer & Matthew Tonts, 2013. "Do History and Geography Matter? Regional Unemployment Dynamics in a Resource-Dependent Economy: Evidence from Western Australia, 1984–2011," Environment and Planning A, , vol. 45(12), pages 2919-2938, December.
    2. Pinto, Hugo, 2011. "The role of econometrics in economic science: An essay about the monopolization of economic methodology by econometric methods," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(4), pages 436-443, August.
    3. Yulia Tyumeneva & Yulia Kuzmina, 2012. "The Effect of One Extra Year of Schooling on Pisa Results: a Case of Countries with Different Tracking Systems," HSE Working papers WP BRP 08/EDU/2012, National Research University Higher School of Economics.

    More about this item

    Keywords

    Econometric modelling; Food expenditure; Structural breaks; Impulse-indicator saturation; Autometrics;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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