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Multiple Herbicide Use in Cropland: A Discrete-Continuous Model for Stated Choice Data

Andrea Pellegrini, John Rose and Riccardo Scarpa

Land Economics, 2022, vol. 98, issue 2, 355-375

Abstract: Using a random utility consistent discrete-continuous model, we analyze decisions by a sample of Australian farmers on the mix of herbicides and their intensity of use. The proposed model is flexible and even accommodates decisions concerning a single herbicide. We use a sequential quadratic programming-based forecasting approach to predict optimal herbicide types and allocations. Structural estimates are used to forecast how price changes affect herbicide demand. The forecasting approach allows for calibration of alternative specific constants to reproduce existing brand market shares.

JEL-codes: C35 Q11 (search for similar items in EconPapers)
Date: 2022
Note: DOI: 10.3368/le.98.2.092520-0150R1
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