This paper presents a short‐term econometric model for the sawlog and pulpwood markets in Finland. More specifically, the effects of structural changes in the market on the success of short‐term market modelling are investigated. Wood prices and quantities traded are stationary. Therefore, valid statistical inference using the levels of these variables is possible. Pulpwood prices were found to be directly proportional to sawlog prices during the study period, and the cross‐price effects were not statistically significant. The results indicated that the price sensitivity of wood supply in Finland increased during the 1980s and early 1990s. Nationwide collective price agreements were found to have increased the level of pulpwood supply and demand from private forests, but to have had no effect on either supply of or demand for sawlogs. Due to a structural change in the 1970s, the models estimated for the whole period cannot be used for short‐term forecasting in the 1990s. Higher‐than‐annual frequency data should be used in developing accurate short‐term forecasting models.
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Toppinen et al. (1997) studied this question.
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