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Abstract
This paper aims at analysing and predicting farmers' land use decisions. For this purpose, farmers' decision processes are described by a nested discrete choice model. At all levels of estimation, the values of the dependent variable indicate the proportion of land allocated to each agricultural activity. Then, the share of land assigned to each activity is estimated by employing the random utility model of the logit specification.