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. Author manuscript; available in PMC: 2008 Oct 20.
Published in final edited form as: Soc Sci Med. 2006 Nov 20;64(4):757–761. doi: 10.1016/j.socscimed.2006.10.025

Table 1.

Exploring income-age interactions using data from the National Health Interview Survey

CMM income measure (cardinal income) CLP income measure (log income)
(1) (2) (3) (4) (5) (6) (7) (8)
Income 0.935 (0.004)** 0.935 (0.008)** 0.941 (0.008)** 0.941 (0.006)** 0.940 (0.003)** 0.636 (0.029)** 0.683 (0.034)** 0.682 (0.012)**
Age × Income 1.000 (0.001) 0.999 (0.008) 0.998 (0.0006)** 0.998 (0.0003)** 1.004 (0.004) 0.989 (0.005)* 0.987 (0.002)**
Sample All All Dependents Dependents Dependents All Dependents Dependents
Years 1994 1994 1994 1994–95 1986–95 1994 1994 1986–95
Observations 27,833 27,833 27,601 52,803 274,623 27,833 27,601 274,623

Note: Odds ratios from logistic regression models, standard errors in parentheses. The dependent variable equals 1 if the child is in fair or poor health, 0 otherwise. Log income is calculated using the mean of each income bracket in the March Current Population Surveys. All models include controls for age, race, and sex, and are weighted using survey weights. Models that include more than one year of data include year indicators.

*

significant at 5%.

**

significant at 1%.