2012
DOI: 10.5950/0738-1360-27.4.371
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Analysis of a Demand System for Unbreaded Frozen Seafood in the United States Using Store-level Scanner Data

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Cited by 35 publications
(24 citation statements)
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“…In the case of salmon, for example, farmed and wild-caught product are found to be close substitutes, and increased production of farmed salmon has had a substantial impact on the market and prices for wild salmon species (Knapp, Roheim, and Anderson 2007;Nielsen et al 2007;Nielsen et al 2011). This article follows these previous studies and others that identify interactions among seafood products in the market (Gordon and Hannesson 1996;Jaffry, Pascoe, and Robinson 1999;Nielsen, Smit, and Guillen 2012;Singh, Dey, and Surathkal 2012), but we extend the cointegration analysis in this area by explicitly accounting for structural breaks. Despite the vast literature on the use of unit root tests in the presence of structural breaks, there are only a small number of multivariate cointegration analyses that address the issue of breaks in time series data.…”
Section: Introductionmentioning
confidence: 68%
“…In the case of salmon, for example, farmed and wild-caught product are found to be close substitutes, and increased production of farmed salmon has had a substantial impact on the market and prices for wild salmon species (Knapp, Roheim, and Anderson 2007;Nielsen et al 2007;Nielsen et al 2011). This article follows these previous studies and others that identify interactions among seafood products in the market (Gordon and Hannesson 1996;Jaffry, Pascoe, and Robinson 1999;Nielsen, Smit, and Guillen 2012;Singh, Dey, and Surathkal 2012), but we extend the cointegration analysis in this area by explicitly accounting for structural breaks. Despite the vast literature on the use of unit root tests in the presence of structural breaks, there are only a small number of multivariate cointegration analyses that address the issue of breaks in time series data.…”
Section: Introductionmentioning
confidence: 68%
“…3 Demand elasticities vary between -0.2 and -1.7, with mean and median around -0.75 (Fousekis and Revell 2004;Davis et al 2007;Hong and Duc 2009;Sakai et al 2009;Xie et al 2009;Tiffin and Arnoult 2010;Asheim et al 2011;Muhammad and Jones 2011;Xie and Myrland 2011;Chidmi et al 2012;Singh et al 2012;Jones et al 2013). The values vary by product form, period length, income level and market location.…”
Section: Price Impactsmentioning
confidence: 99%
“…Dhar, Chavas and Gould (2003) used scanner data to test endogeneity issues of price and expenditure in a non-linear AIDS demand system for nine carbonated, non-diet soft drinks, and they strongly rejected the null hypothesis that price and expenditures were exogenous. Recent demand studies of seafood using scanner data include Chidmi et al (2012) and Singh et al (2012). Both studies specified AIDS models for seafood demand at different disaggregate data levels.…”
Section: Almost Ideal Demand Systemmentioning
confidence: 99%
“…Chidmi et al (2012) found substitution patterns across seafood categories, especially between import-dominant and domestic-dominant products, and they also found that promotions play significant roles in seafood purchases. Singh et al (2012) claimed the effects of previous week's purchases on current week's purchases, and the importance of habit formation, weekly substitutions, diversified and contrary preferences in demand analysis.…”
Section: Almost Ideal Demand Systemmentioning
confidence: 99%