By A. Rice, Jones
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They show negative skewness (long left-hand tail) and a higher level of kurtosis. A formal test for normality (sktest) is applied to HUI, using the survey weights provided. 000 Variants of the glcurve command can be used to produce generalized Lorenz, Lorenz, generalized concentration curves, and concentration curves for HUI. The latter use log(income) as the ranking variable, rather than ranking by HUI itself (sortvar (lincome)): • glcurve hui [aweight=nmweight] • glcurve hui [aweight=nmweight], lorenz • glcurve hui [aweight=nmweight], sortvar (lincome) • glcurve hui [aweight=nmweight], sortvar (lincome) lorenz The command can also be used to assess Lorenz dominance, illustrated here by splitting the sample according to gender and income quintiles.
This applies to our measure of self-assessed health (SAH), which has categorical outcomes poor, fair, good, very good and excellent. The model can be expressed as: where the latent variable, y*, is assumed to be a linear function of a vector of socioeconomic variables x, plus a random error term İ: and µ0=í, µjµj+1, µm=. ) is the standard normal distribution function. If the probit link function proved to be inadequate, for example owing to the degree of skewness in the distribution, it would be possible to adopt a different distributional assumption and, hence, a different link function.
5 Empirical CDFs of meaninc, men. 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.
Applied Health Economics: Jones (Routledge Advanced Texts in Economics and Finance) by A. Rice, Jones