By A. Rice, Jones
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Err. 4632811 Number of obs= 15540 Wald chi2 (40)= . Prob>chi2= . 2819 z P>|z| [95% Conf. 4647546 . 23 . 0365 cdsah2 Coef. Robust Std. Err. 131849 . 000 . 310044 . 1978 z P>|z| [95% Conf. 5371 cdsah3 Coef. Robust Std. Err. 0965 z P>|z| [95% Conf. 1311 cdsah4 Coef. Robust Std. Err. 0549 z P>|z| [95% Conf. 170699 There is some evidence here that the coefficients do vary across categories. 152 across the different regressions. This issue is explored in more depth in Chapter 4. 5 COMBINED ANALYSIS OF HUI AND SAH: INTERVAL REGRESSION Interval, or grouped data, regression provides an alternative to the ordered probit model in cases where the values of the upper and lower limits of the intervals are known.
The cardinal measures of health are used to compute and to decompose concentration indices for income-related inequality in health. These results are validated by comparison with the individual variation in the ‘benchmark’ HUI responses obtained from the Canadian National Population Health Survey 1994–95. ’ The response categories were excellent, very good, good, fair and poor. Also, each respondent was assigned an HUI score based on their response to the questions of the eight-attribute Health Utility Index Mark III health status classification system.
678 sah Coef. Robust Std. Err. 0712 t P>|t| [95% Conf. 8579 In this case the model passes the test. The ordered probit model imposes the assumption of a single linear index so that the coefficients remain stable across the categories of the dependent variable. This is relaxed by the generalized ordered probit model. 1724 cdsah1 Coef. Robust Std. Err. 4632811 Number of obs= 15540 Wald chi2 (40)= . Prob>chi2= . 2819 z P>|z| [95% Conf. 4647546 . 23 . 0365 cdsah2 Coef. Robust Std. Err. 131849 . 000 .