2011
DOI: 10.1016/j.jce.2010.12.004
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Income inequality, consumption, and social-status seeking

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Cited by 88 publications
(75 citation statements)
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References 32 publications
(35 reference statements)
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“…Due to its relation with educational success, an initial increase in transitory earnings dispersion can quickly turn into higher individual lifetime inequality and further reduced intergenerational mobility. Jin et al (2011), using household data for 1997 to 2006, present direct econometric evidence that rising inequality has positively affected household savings even when controlling for other potential explanatory factors discussed above. Their estimations explain consumption (net of education expenditures) and the average propensity to consume (ratio of consumption to disposable income) with household income, a set of control variables (such as age, family size, province and year dummies, time trends, house prices, the estimated returns on education) and a measure for income inequality.…”
Section: Rising Income Inequality and Status-seeking Through Wealth Amentioning
confidence: 88%
“…Due to its relation with educational success, an initial increase in transitory earnings dispersion can quickly turn into higher individual lifetime inequality and further reduced intergenerational mobility. Jin et al (2011), using household data for 1997 to 2006, present direct econometric evidence that rising inequality has positively affected household savings even when controlling for other potential explanatory factors discussed above. Their estimations explain consumption (net of education expenditures) and the average propensity to consume (ratio of consumption to disposable income) with household income, a set of control variables (such as age, family size, province and year dummies, time trends, house prices, the estimated returns on education) and a measure for income inequality.…”
Section: Rising Income Inequality and Status-seeking Through Wealth Amentioning
confidence: 88%
“…We illustrate the non-negligibility of the sampling error with two empirical examples. Using the same data as in Jin et al (2011) and Wei and Zhang (2011), we find evidence that the OLS estimator is substantially different from its adjusted version that takes sampling error into account.…”
mentioning
confidence: 89%
“…The parameter β is of interest, see, e.g., Barro (2000). Besides the effect of income inequality on economic growth, this model is similarly applied to analyze the effect of inequality on consumption, investment, migration, and health, see, e.g., Atkinson and Brandolini (2001), Alesina and Angeletos (2005) and Jin et al (2011). In all of these studies, the population Gini coefficient is unknown, so empirical researchers have to work with the sample Gini coefficient denoted asα i , which is an estimator for the population Gini α i in the ith group.…”
Section: Example I: Ginimentioning
confidence: 99%
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