The aim of this research is to study the import and export of wood in Iran and determine its relation with major macroeconomics variables such as population, Gross Domestic Product (GDP), world oil price and the amount of domestic wood production. Multivariable Regression analysis (MRA) was employed in order to investigate the relation between import and export of wood with the above mentioned variables. The results showed that there is a significant relation with significant level of 5% between wood import as a dependent variable and population, GDP and the amount of domestic wood production as independent variables. There was also a significant relation between wood export and population, GDP, amount of domestic wood production, and world oil price. Time series analysis and autoregressive procedure were then used to predict the export and import of wood. Results showed that it is possible to predict the wood export via a first order autoregressive model. The mean of the wood export in the distant future was calculated to be 2133.37 tons per year.