A logit analysis of private woodlot owner's harvesting decisions in New Brunswick

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Abstract
A maximum likelihood logit model of New Brunswick's private woodlot owner's harvesting decisions indicates that these decisions are related to owner and ownership characteristics. The model was able to correctly classify 75.2% of the observations from the data used to construct the model and 75.7% of the observations from an independent data set. Examples of how the model can be used to develop policies to encourage or discourage harvesting or as a screening tool for forest extension personnel are discussed.

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