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on Central and Western Asia |
| By: | Teresa Bago d'Uva (University of York); Eddy van Doorslaer (Erasmus Universiteit Rotterdam and Netspar); Maarten Lindeboom (Vrije Universiteit Amsterdam, HEB, IZA, and Netspar); Owen O'Donnell (University of Macedonia, and Netspar); Somnath Chatterji (World Health Organization) |
| Abstract: | Heterogeneity in reporting of health by socio-economic and demographic characteristics potentially biases the measurement of health disparities. We use anchoring vignettes to identify reporting heterogeneity in self reports on health for Indonesia, India and China. Correcting for reporting heterogeneity tends to reduce estimated disparities in health by age, sex (not Indonesia), urban/rural and education (not China) and to increase income disparities in health. Overall, while homogeneous reporting by socio-demographic group is significantly rejected, the results suggest that the size of the reporting bias in measures of health disparities is not large. |
| Keywords: | health measurement; vignettes; self-reported health; reporting heterogeneity |
| JEL: | D30 D31 I10 I12 |
| Date: | 2006–03–28 |
| URL: | http://d.repec.org/n?u=RePEc:dgr:uvatin:20060033&r=cwa |
| By: | Maria Laura Di Tommaso |
| Abstract: | This paper aims at conceptualising the well being of children in developing countries using a capability approach and at measuring well being in a pilot study using a multiple indicator multiple causes model (MIMIC). First, the concept of capabilities for children is defined. Secondly the paper deals with issues related to measurement of functionings. The existence of multiple, inter-related functionings to measure children’s well being raises the question of how to combine them in empirical research. I use the richness of the capability approach and the information in all the indicators selected, to develop a MIMIC (Multiple Indicators Multiple Causes) model. Children well being is also assumed to be caused by other exogeneous variables like for instance gender of the child or income of the family. Lastly, I describe the data set used and provide a pilot empirical application of the MIMIC model. |
| Keywords: | Capability Approach; Structural Equation Models; Children Well Being |
| JEL: | C35 I32 J13 |
| Date: | 2006–01 |
| URL: | http://d.repec.org/n?u=RePEc:wpc:wplist:wp05_06&r=cwa |