The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Income Inequality and Health: What Have We Learned So Far?
Abstract
Many developed countries have experienced a sharp rise in income inequality during the past three decades, and the United States is no exception (1). For example, the average annual salary in America in inflation-adjusted 1998 dollars increased from $32,522 in 1970 to $35,864 in 1999, that is, a modest 10 percent increase over three decades. By contrast over the same period, the average annual compensation of the top 100 chief executive officers rose from $1.3 million (or 39 times the pay of an average worker) to $37.5 million (or more than 1,000 times the pay of an average worker) (2). Recent trends in wealth inequality have been equally noteworthy. The net worth of families in the top decile rose by 69 percent, to $833,600 in 2001, from $493,400 in 1998. By contrast over the same period, the net worth of families in the lowest fifth of income earners rose 24 percent, to $7,900. The median accumulated wealth of families in the top 10 percent of the income distribution was 12 times that of lower-middle-income families through much of the 1990s, but in 2001, the median net worth of the top earners was about 22 times as great (3).
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Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
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Idler, E. L., & Benyamini, Y. (1997) · Journal of Health and Social Behavior · doi:10.2307/2955359 · Cited by 8,598
Partitioning Variation in Multilevel Models
Goldstein, H., Browne, W., & Rasbash, J. (2002) · Understanding Statistics · doi:10.1207/s15328031us0104_02 · Cited by 874 · cited 2×
“† This coefficient refers to the % of variation that is attributable to states estimated from a two-level binomial logistic model when a variance component estimated at the state level is based on the “latent variable approach” method ( 73 ).”
BackgroundMethodIncome inequality and health: multilevel analysis of Chilean communities
Subramanian, S. V., Delgado, I., Jadue, L., Vega, J., & Kawachi, I. (2003) · Journal of Epidemiology and Community Health · doi:10.1136/jech.57.11.844 · Cited by 179
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Cushing, L., Morello-Frosch, R., Wander, M., & Pastor, M. (2015) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031914-122646 · Cited by 304
Ribeiro, W. S., Bauer, A., Andrade, M. C. R., York-Smith, M., Pan, P. M., Pingani, L., Knapp, M., Coutinho, E. S. F., & Evans-Lacko, S. (2017) · The Lancet Psychiatry · doi:10.1016/s2215-0366(17)30159-1 · Cited by 240
Locality deprivation and Type 2 diabetes incidence: A local test of relative inequalities
Cox, M., Boyle, P. J., Davey, P. G., Feng, Z., & Morris, A. D. (2007) · Social Science & Medicine · doi:10.1016/j.socscimed.2007.05.043 · Cited by 106
The AI economist: taxation policy design via two-level deep multiagent reinforcement learning
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Metadata
- Authors
- Subramanian, S. V.
- Venue
- Epidemiologic Reviews
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-07-01
- Volume
- 26
- Issue
- 1
- Pages
- 78-91
- ISSN
- 0193-936X (ISSN-L)
- 1478-6729
- OpenAlex
- W2123139375
- Cited by
- 900
- References
- 4
- FWCI
- 30.04
- Type
- journal article
- Language
- en
- Open access
- closed
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