The literature on the association between health outcomes and income is growing. For instance, this NBER project aims to create a database with mortality rates by income.
To allow for such heterogeneity in mortality rates, OG-Core should add the J (lifetime income group) dimension to the mortality rates matrix.
It would also be useful to have a function in demographics.py that can take in some measure of the income-gradient in morality rates and make sure the resulting heterogenous mortality rates sum to the overall age-specific mortality rates in the data (which is not trivial since survival rates are cumulative so the percentage of the population in each income group will vary by age).
cc @rickecon @SeaCelo
The literature on the association between health outcomes and income is growing. For instance, this NBER project aims to create a database with mortality rates by income.
To allow for such heterogeneity in mortality rates, OG-Core should add the J (lifetime income group) dimension to the mortality rates matrix.
It would also be useful to have a function in
demographics.pythat can take in some measure of the income-gradient in morality rates and make sure the resulting heterogenous mortality rates sum to the overall age-specific mortality rates in the data (which is not trivial since survival rates are cumulative so the percentage of the population in each income group will vary by age).cc @rickecon @SeaCelo