Abstract
AbstractNerlovian supply functions are fitted to post‐World War II coffee data for São Paulo, Brazil. Supply shifts are permitted through the use of dummy variables, and recent specifications of irreversible functions are tested. The modified Nerlovian functions perform best from both the economic and statistical point of view.
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