By A. Rice, Jones

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The syntax for these operations was shown in Chapter 2 and will not be repeated here. As a prelude to using regression models, the empirical distribution function (EDF) for HUI can be plotted using the variable hui, first for the full sample and then splitting the sample into income quintiles. 1 Empirical distribution function (EDF) of HUI. The inverted ‘L’ shape of the EDF shows that there is a long left-hand tail made up of relatively few individuals who have low HUI scores and that many people are concentrated in the right-hand tail, with a sizeable proportion in ‘full health’ (HUI=1).

Percent Cum. 00 • ****single transition from poor/vpoor— • gen use=hpovpo*count1 • sort pid • egen tot=sum (use), by (pid) • summ $xvars if (tot==1| tot==11|tot==111 | tot==1111|tot==111111|tot==1111111) & male==1 • tab tot if (tot==1|tot==11|tot==111 11111|tot==111111|tot==1111111) & male==1 Variable Obs Mean Std. Dev. 65996 hsumi Freq. Percent Cum. 00 These tables again reveal the associations between SAH and socioeconomic characteristics. For example, those who are always in excellent or good health on average have higher incomes, are better educated and are younger than those in the other groups.

25)1) ti (“Empirical CDF’s of meaninc, men”) Moving from left to right across the graph allows a comparison of the distribution of income across increasing levels of SAH. This shows evidence of what is known as stochastic dominance: the empirical distribution functions lie to the right for those in better health. Our second indicator of socioeconomic status is education, measured by the highest formal qualification achieved. 6). 6 Bar chart for SAH by education, men. 5) One of the aims of Contoyannis, Jones and Rice (2004) was to investigate the dynamics of health.

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