This paper develops a heterogeneous farm/company/organizational model with market imperfections to study traded agricultural commodity price volatility. From the structural model, the authors derive farm credit constraint equations and production functions, which are estimated by employing
unique farm-level panel data. Using the estimated model parameters, they employ a structural model to simulate price volatility in agricultural input and output markets. They find that, in the presence of credit market imperfections and farm heterogeneity, less credit-constrained farms benefit
more from food price volatility than more credit-constrained farms, as such farms can adjust their output to new market conditions more rapidly and flexibly.
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