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This paper presents the results of a simulation model for the prediction of sale prices of common beech (Fagus sylvatica L.) and silver fir (Abies alba Mill.) assortments in the case study of Brinje Forest Office in Croatia. The survey covers the future time frame of 140 years (starting from the year 2013). The database of realized selling prices of assortments in the period from 1997 to 2013 was used in this research. On the basis of statistical analysis of realized selling prices in the past and using the Monte Carlo method, a simulation of future prices with 500, 100, 50 and 30 simulation repetitions was made. The result of this research is the methodological basis for future forest management economic planning in the case study of Brinje Forest Office, as well as in other case studies with similar forest management characteristics. Although, in this research, timber prices applicable in Croatia have been used, the same methods could be applied in other countries, too.Članak se bavi prognoziranjem prodajnih cijena sortimenata obične bukve (Fagus sylvatica L.) i obične jele (Abies alba Mill.). Istraživanje se odnosi na studij slučaja Šumarije Brinje u Republici Hrvatskoj i obuhvaća buduće vremensko razdoblje od 140 godina (počevši od 2013.). U istraživanju je prikupljena baza podataka o ostvarenim prodajnim cijenama sortimenata drva u razdoblju 1997. – 2013. Na temelju statističke analize ostvarenih prodajnih cijena u prošlosti te primjenom metode Monte Carlo, napravljena je simulacija budućih cijena s 500, 100, 50 i 30 simulacijskih ponavljanja. Rezultat ovog istraživanja svojevrsna je metodološka podloga za buduće ekonomsko planiranje gospodarenja šumama Šumarije Brinje, kao i za ostale studije slučaja sličnih šumskogospodarskih obilježja. Iako se cijene sortimenata drva odnose na Republiku Hrvatsku, prikazana se metodologija može primijeniti i u ostalim državama

Simulation Model for Prediction of Timber Assortment Price Trends in Croatia - a Case Study of Brinje Forest Office