We develop a stochastic parameter approach to model the time-varying impacts of food scares on consumption, as an alternative to the inclusion of news coverage indices in the demand function. We empirically test the methodology on data from four food scares, the 1982 heptachlor milk contamination in Oahu, Hawaii and the BSE and two E-coli scares on US meat demand over the period 1993-1999. Results show that the inclusion of time-varying parameters in demand models enables the capturing of the impact of food safety information and provides better short-term forecasts.
Mazzocchi M. (2006). No News Is Good News: Stochastic Parameters versus Media Coverage Indices in Demand Models after Food Scares. AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 88(3), 727-741.
No News Is Good News: Stochastic Parameters versus Media Coverage Indices in Demand Models after Food Scares
MAZZOCCHI, MARIO
2006
Abstract
We develop a stochastic parameter approach to model the time-varying impacts of food scares on consumption, as an alternative to the inclusion of news coverage indices in the demand function. We empirically test the methodology on data from four food scares, the 1982 heptachlor milk contamination in Oahu, Hawaii and the BSE and two E-coli scares on US meat demand over the period 1993-1999. Results show that the inclusion of time-varying parameters in demand models enables the capturing of the impact of food safety information and provides better short-term forecasts.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
