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Forecasting the German forest products trade: A vector error correction model

Author

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  • Kolo, Horst
  • Tzanova, Polia

Abstract

In the forest sector often very complex models are used that take into account a variety of factors. In addition to variables that describe the natural production of wood, into these models flow among others also such variables that depict nature conservation legislation, market contexts, etc. The limited availability of large amounts of data and more particularly of precise data to all these subject areas considerably weakens the validity of the models. Our study therefore takes up the challenge to develop a model, as simple as possible, that can help to estimate export and import volumes as well as export and import prices of raw timber in Germany. To this end, we apply the technique of time series analysis and develop a simple model that allows for short-term and medium-term forecasting in the German forest sector. We show that using a vector error correction model (VECM) can succeed in a relatively simple modelling of future quantities and prices of raw timber for Germany.

Suggested Citation

  • Kolo, Horst & Tzanova, Polia, 2017. "Forecasting the German forest products trade: A vector error correction model," Journal of Forest Economics, Elsevier, vol. 26(C), pages 30-45.
  • Handle: RePEc:eee:foreco:v:26:y:2017:i:c:p:30-45
    DOI: 10.1016/j.jfe.2016.11.001
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    2. Li, Yi & Liu, Tianya & Xu, Jinpeng, 2023. "Analyzing the economic, social, and technological determinants of renewable and nonrenewable electricity production in China: Findings from time series models," Energy, Elsevier, vol. 282(C).
    3. Fuchs, Jasper M. & v. Bodelschwingh, Hilmar & Lange, Alexander & Paul, Carola & Husmann, Kai, 2022. "Quantifying the consequences of disturbances on wood revenues with Impulse Response Functions," Forest Policy and Economics, Elsevier, vol. 140(C).
    4. Banaś, Jan & Utnik-Banaś, Katarzyna, 2021. "Evaluating a seasonal autoregressive moving average model with an exogenous variable for short-term timber price forecasting," Forest Policy and Economics, Elsevier, vol. 131(C).
    5. Álvarez-Díaz, Marcos & González-Gómez, Manuel & Otero-Giráldez, María Soledad, 2018. "Main determinants of export-oriented bleached eucalyptus kraft pulp (BEKP) demand from the north-western regions of Spain," Forest Policy and Economics, Elsevier, vol. 96(C), pages 112-119.
    6. Adewuyi, Adeolu & Ogebe, Joseph O. & Oshota, Sebil, 2021. "The role of exchange rate and relative import price on sawnwood import demand in Africa: Evidence from modified heterogeneous panel data methods," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).

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    More about this item

    Keywords

    Forecasts for German forest sector; Forest sector models; VECM; Raw timber; German timber market;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • L73 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Forest Products
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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