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Particulate Matter 10 (PM10): Persistence and Trends in Eight European Capitals

Author

Listed:
  • Guglielmo Maria Caporale
  • Luis A. Gil-Alana
  • Nieves Carmona-González

Abstract

This paper examines the statistical properties of daily PM10 in eight European capitals (Amsterdam, Berlin, Brussels, Helsinki, London, Luxembourg, Madrid and Paris) over the period 2014-2020 by applying a fractional integration framework; this is more general than the standard approach based on the classical dichotomy between I(0) stationary and I(1) non-stationary series used in most other studies on air pollutants. All series are found to be characterised by long memory and fractional integration, with orders of integration in the range (0, 1), which implies that mean reversion occurs and shocks do not have permanent effects. Persistence is highest in the case of Brussels, Amsterdam and London. The presence of negative trends in Brussels, Paris and Berlin indicates some degree of success in reducing pollution in these capitals.

Suggested Citation

  • Guglielmo Maria Caporale & Luis A. Gil-Alana & Nieves Carmona-González, 2020. "Particulate Matter 10 (PM10): Persistence and Trends in Eight European Capitals," CESifo Working Paper Series 8402, CESifo.
  • Handle: RePEc:ces:ceswps:_8402
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    References listed on IDEAS

    as
    1. Luis A. Gil-Alana, 2008. "Time trend estimation with breaks in temperature time series," Faculty Working Papers 09/08, School of Economics and Business Administration, University of Navarra.
    2. Gil-Alana, Luis A. & Moreno, Antonio, 2012. "Uncovering the US term premium: An alternative route," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1181-1193.
    3. Mirko Abbritti & Luis A. Gil-Alana & Yuliya Lovcha & Antonio Moreno, 2016. "Term Structure Persistence," Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 331-352.
    4. Carlos Barros & Luis Gil-Alana & Fernando Perez de Gracia, 2016. "Stationarity and Long Range Dependence of Carbon Dioxide Emissions: Evidence for Disaggregated Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(1), pages 45-56, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    fractional integration; long memory; persistence; trends; air pollutants; PM10;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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