Survey data in composite indexes of well-being and socio-economic development 2
|Convenor||Professor Krzysztof Zagorski (Kozminski University )|
It has been established a number of composite index intend to measure multi-dimensional well-being. Although recently years several articles have been identified the individual-level and societal-economic level determinants of well-being, most of them using regression analysis to confirm these multivariable relationships. However, is it all relevance between these objective and subjective indicators, or just some of them theoretical relevance? Also, in methodical issue, regression analysis fails to account for the cross-level problems and results in more significant results. In this study, we will re-examination these variables by using multilevel analysis.
The health indicator is the element in composite indexes of well-being. Currently, assessment of health status of the population will not be adequate without survey data. Modern health indicators is a composite of two elements: life expectancy and period of life, burdened with illnesses. The second element is calculated from data on morbidity, which is underestimated because of the wide use of instruments of self-diagnostics and various forms of self-treatment. Used a new method of comparing the survey data with administrative data of medical services "evaluation hidden morbidity with external validation + full account of morbidity"
The study that we present consists in the design, construction and calculation of a synthetic index to measure the annual prevalence, weighted by the seriousness of their consequences, of personal accidents in the 28 member countries of the European Union. The index is calculated based on data from several sources: Statistics on causes of death, the different administrative registries that provide data on "hospital discharges" in each country, and micro-data from the first wave and, when available, the second wave, of the European Health Interview Survey (EHIS). The prevalence of accidents is measured in “death equivalent units” per 100.
The Crime Safety Index is a composite indicator that attempts to incorporate into a unitary measure two key concepts of criminological research, concern about and fear of crime, as part of a system of indicators designed to measure social quality in European countries. The extensive criminological literature on these two notions has not been fully clear about their theoretical and empirical similarities and differences. This presentation exposes the theoretical nuances of both concepts and proposes an empirical approach to measuring them as part of a more complex composite index, Crime safety index.