Health, Labour supply and demand

Research notes · Dec 31, 2011

Modelling the cost of ill health in Health&WealthMOD (Version II): Lost labour force participation, income and taxation, and the impact of disease prevention

Deborah Schofield, Rupendra Shrestha, Emily Callander, Richard Pervical, Simon Kelly, Megan Passey, Susan Fletcher

NHMRC Clinical Trials Centre and School of Public Health, Faculty of Medicine, University of Sydney, Australia; The National Centre for Social and Economic Modelling, University of Canberra, Australia; Department of Rural Health, School of Public Health, Faculty of Medicine, University of Sydney, Northern Rivers University, Australia

Volume 4(3) Winter 2011

Cite as: D. Schofield, R. Shrestha, E. Callander, R. Pervical, S. Kelly, M. Passey, S. Fletcher; 2011; Modelling the cost of ill health in Health&WealthMOD (Version II): Lost labour force participation, income and taxation, and the impact of disease prevention; International Journal of Microsimulation; 4(3); 32–36. doi: 10.34196/ijm.00058

Abstract

This paper provides a detailed description of the construction of Health&WealthMOD (Version II). It is Australia’s only microsimulation model of health and illness and their impacts on labour force participation, income, wealth and government revenue and expenditure. In this paper, we describe Health&WealthMOD (Version II) and its architecture, the application of the model, and some of the results it has produced.

This article contains 1 table.

Tables

Table 1. Percentage of SDAC records matched with the STINMOD records of different group in Health&WealthMOD (Version II).
Variable Total Number of records Number of records matched with different group Percentage of records matched with different group
Sex 8,864 129 1.46%
Income Unit Type 8,864 0 0.00%
Labour force status 8,864 1 0.01%
Age group 8,864 530 5.98%
Income quintile 8,864 57 0.64%
Hours worked per week 8,864 70 0.79%
Pension/benefit 8,864 0 0.00%
Highest Education 8,864 110 1.24%
Home ownership 8,864 107 1.21%