Principal Component Analysis - Points of Association Between Cancer and Economic Development

Ilona Székely Kovácsné (), Éva Fenyvesi () and Tibor Pintér ()
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Ilona Székely Kovácsné: Budapest Business School, FCHT, Department of Methodology for Business Analysis
Éva Fenyvesi: Budapest Business School, FCHT, Department of Economics and Business Studies
Tibor Pintér: Budapest Business School, FCHT, Department of Economics and Business Studies

Central European Journal of Economic Modelling and Econometrics, 2023, vol. 15, issue 2, 91-130

Abstract: Various theories have been put forward on the demographic and health effects and consequences of socioeconomic development. In this study, we used the theoretical findings of the epidemiologic transition as a starting point to examine the 2020 values of the three main cancer indicators (incidence, mortality, prevalence). These values were compared with socioeconomic development variables for 170 countries. The countries were grouped using hierarchical clustering, and linear discriminant analysis was used to evaluate how appropriate the clustering was. Principal component analysis was used to examine, by group, which parameters are significant in each principal component and what background factors underlie the data. The results seem to confirm the association between cancer and socioeconomic background.

Keywords: standard of living; economic development; incidence; mortality; prevalence (search for similar items in EconPapers)
JEL-codes: I15 I18 O35 P16 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:psc:journl:v:15:y:2023:i:2:p:91-130

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