The increasing incidence of cancer in a highly affluent and developed country like Denmark raises a remarkable problem. This research deeply examines the complex relationships between cancer incidence, GDP (Gross Domestic Product) per capita, and inflation in Denmark.
METHODS
Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) Unit Root Tests, Toda-Yamamoto Causality
Test have been used.
RESULTS
Analyses of data on male and female cancer incidence, GDP per capita growth (annual %), and inflation
yield striking results. For instance, the unidirectional causal relationship from male cancer incidence
to female cancer incidence is striking. At the same time, the bidirectional causality between GDP per
capita and male cancer incidence is also an interesting finding. The finding of a unidirectional causality
from female cancer incidence to GDP per capita and unidirectional causal relationship from inflation to
female cancer incidence is also important emphasis.
CONCLUSION
This study is a continuation of the tests of the Crisis-Cancer Cycle (CCC) hypothesis proposed by
Çiğdem and is an important step towards understanding the complexity behind the cancer surge, concretizing
the potential effects of monetary policies on health and informing policymakers.