Consumer Purchasing Behavior in Response to Media Coverage of Avian Influenza
Consumer concerns regarding food safety can have substantial impacts on their consumption patterns. Thus, understanding consumer response to food safety information is important for quantifying consumer response to food safety events, predicting market impacts, and developing appropriate risk communication strategies. Flexible demand systems have gained much popularity in analyzing effects of food safety outbreaks on consumer demand because of their ability to capture interactions between the demand for substitutable and complementary goods. Using Italian scanner data on meat sales, we show the economic importance of accounting for the impact of avian flu outbreaks on group expenditures for meats in a dynamic Almost Ideal Demand System (AIDS) specification with intertemporally optimizing consumers. Failure to account for this form of expenditure endogeneity results in a substantial understatement of the food safety effect.
|Date of creation:||Jun 2009|
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- Beach, Robert H. & Kuchler, Fred & Leibtag, Ephraim S. & Zhen, Chen, 2008. "The Effects of Avian Influenza News on Consumer Purchasing Behavior: A Case Study of Italian Consumers' Retail Purchases," Economic Research Report 56477, United States Department of Agriculture, Economic Research Service.
- Igal Hendel & Aviv Nevo, 2006.
"Measuring the Implications of Sales and Consumer Inventory Behavior,"
Econometric Society, vol. 74(6), pages 1637-1673, November.
- Igal Hendel & Aviv Nevo, 2005. "Measuring the Implications of Sales and Consumer Inventory Behavior," NBER Working Papers 11307, National Bureau of Economic Research, Inc.
- Holt, Matthew T & Goodwin, Barry K, 1997. "Generalized Habit Formation in an Inverse Almost Ideal Demand System: An Application to Meat Expenditures in the U.S," Empirical Economics, Springer, vol. 22(2), pages 293-320.
- Crafton, Steven M & Hoffer, George E & Reilly, Robert J, 1981. "Testing the Impact of Recalls on the Demand for Automobiles," Economic Inquiry, Western Economic Association International, vol. 19(4), pages 694-703, October.
- Christine Lensing & Wayne D. Purcell, 2006. "Impact of Mandatory Price Reporting Requirements on Level, Variability, and Elasticity Parameter Estimations for Retail Beef Prices," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(2), pages 229-239.
- Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," Review of Economic Studies, Oxford University Press, vol. 61(4), pages 631-653.
- Newey, W.K. & West, K.D., 1992. "Automatic Lag Selection in Covariance Matrix Estimation," Working papers 9220, Wisconsin Madison - Social Systems.
- Kenneth D. West & Whitney K. Newey, 1995. "Automatic Lag Selection in Covariance Matrix Estimation," NBER Technical Working Papers 0144, National Bureau of Economic Research, Inc.
- Mitchell, Douglas W. & Speaker, Paul J., 1986. "A simple, flexible distributed lag technique : The polynomial inverse lag," Journal of Econometrics, Elsevier, vol. 31(3), pages 329-340, April.
- Nicholas E. Piggott & Thomas L. Marsh, 2004. "Does Food Safety Information Impact U.S. Meat Demand?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 154-174.
- Mario Mazzocchi & Davide Delle Monache & Alexandra Lobb, 2006. "A structural time series approach to modelling multiple and resurgent meat scares in Italy," Applied Economics, Taylor & Francis Journals, vol. 38(14), pages 1677-1688.
- Oral Capps & H. Alan Love, 2002. "Econometric Considerations in the Use of Electronic Scanner Data to Conduct Consumer Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 807-816.
- Smith, Mark E. & van Ravenswaay, Eileen O. & Thompson, Stanley R., 1987. "Sales Loss Determination in Food Contamination Incidents: An Application to Milk Bans in Hawaii," Working Papers 115803, Regional Research Project NE-165 Private Strategies, Public Policies, and Food System Performance.
- Mario Mazzocchi, 2006. "No News Is Good News: Stochastic Parameters versus Media Coverage Indices in Demand Models after Food Scares," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 727-741.
- Heien, Dale & Durham, Cathy, 1991. "A Test of the Habit Formation Hypothesis Using Household Data," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 189-199, May.
- L. Fanelli & M. Mazzocchi, 2002. "A cointegrated VECM demand system for meat in Italy," Applied Economics, Taylor & Francis Journals, vol. 34(13), pages 1593-1605.
- Thomas Marsh & Ted Schroeder & James Mintert, 2004. "Impacts of meat product recalls on consumer demand in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 897-909.
- Carlos Arnade & Munisamy Gopinath & Daniel Pick, 2008. "Brand Inertia in U.S. Household Cheese Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 813-826.
- Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
- Ferson, Wayne E. & Constantinides, George M., 1991. "Habit persistence and durability in aggregate consumption: Empirical tests," Journal of Financial Economics, Elsevier, vol. 29(2), pages 199-240, October.Full references (including those not matched with items on IDEAS)
- Wayne E. Ferson & George M. Constantinides, 1991. "Habit Persistence and Durability in Aggregate Consumption: Empirical Tests," NBER Working Papers 3631, National Bureau of Economic Research, Inc.
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