2004
DOI: 10.1016/j.foodpol.2004.10.003
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Changing household characteristics and the away-from-home food market: a censored equation system approach

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Cited by 72 publications
(62 citation statements)
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“…This means that the income elasticity of demand for FAFH by Chinese households is more sensitive to changes in income compared to US households. This is evidenced by Stewart and Yen (2004) who found that the income elasticities of expenditure for fast-and full-service restaurants are 0,288 and 0,632 respectively, using US Bureau of Labor Statistics. In comparison, China has a larger income elasticity of around 1, and the robust nonparametric estimation results show that the income elasticity is still on the rise (Min, Fang and Li, 2004 (Ham, Hwang and Kim, 2004).…”
Section: Global Trends In Demand For Food-away-from-homementioning
confidence: 93%
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“…This means that the income elasticity of demand for FAFH by Chinese households is more sensitive to changes in income compared to US households. This is evidenced by Stewart and Yen (2004) who found that the income elasticities of expenditure for fast-and full-service restaurants are 0,288 and 0,632 respectively, using US Bureau of Labor Statistics. In comparison, China has a larger income elasticity of around 1, and the robust nonparametric estimation results show that the income elasticity is still on the rise (Min, Fang and Li, 2004 (Ham, Hwang and Kim, 2004).…”
Section: Global Trends In Demand For Food-away-from-homementioning
confidence: 93%
“…A new full-information maximum likelihood procedure was used to estimate a system of censored expenditure equations which supported this assumption. Stewart and Yen (2004) noted that the multivariate tobit system proposed by Amemiya (1974) accommodates censored dependent variables in an equation…”
Section: Methodologies Used To Evaluate the Effects Of Income And Socmentioning
confidence: 99%
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“…Other studies have also identifi ed higher frequency of eating out among the young and among men, 8,12,13,23 as well as the association between demand for eating out and income or indicators of income such as schooling and employment situation. 2,14,23 In Brazil, a 10% increase in income contributed to a 3% rise in food bought to be consumed outside of the home. 7 In contrast to what has been observed in the United States, 2,23 the presence of children and family size were not associated with frequency of eating out in Brazil, except in the North and Northeast regions.…”
Section: Discussionmentioning
confidence: 98%