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.
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1 January 2017
Research Article|
January 01 2017
Forecasting the German forest products trade: A vector error correction model
Horst Kolo;
Horst Kolo
TUM,
Institute of Forest Management
, Germany
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Polia Tzanova
TUM,
Chair of Forest Economics
, Germany
Corresponding author. E-mail address: tzanova@tum.de (P. Tzanova).
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Corresponding author. E-mail address: tzanova@tum.de (P. Tzanova).
Received:
December 21 2015
Accepted:
November 03 2016
Online ISSN: 1618-1530
Print ISSN: 1104-6899
© 2016 Department of Forest Economics, Swedish University of Agricultural Sciences, Umeå
2016
Department of Forest Economics, Swedish University of Agricultural Sciences, Umeå
Licensed re-use rights only
Journal of Forest Economics (2017) 26 (1): 30–45.
Article history
Received:
December 21 2015
Accepted:
November 03 2016
Citation
Kolo H, Tzanova P (2017), "Forecasting the German forest products trade: A vector error correction model". Journal of Forest Economics, Vol. 26 No. 1 pp. 30–45, doi: https://doi.org/10.1016/j.jfe.2016.11.001
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