The impact of climate change on health expenditures

Arbeitspapier

We study the effect of climate-induced health risks within a continuous time OLG economy with a realistic demography and endogenous mortality. Climate change impacts the economy through two channels. First, a degrading environmental quality increases mortality, affecting the demand for health care. Second, production losses are caused through deteriorating climate conditions and lead to reductions in income. We explore how individuals respond to these climate change impacts with respect to their life-cycle decisions and assess the overall effect on aggregate health care demand. We put special focus on age-specific vulnerabilities of climateinduced health risks and explore the response to climate change across age-groups. We solve the model numerically and show that health care demand is subject to two opposing forces. While climate-induced mortality increases demand for medical care, reduced income tends to lower health spending, particularly among the elderly. Moreover, we find that age-specific vulnerabilities to climate change considerably shape the effect on aggregate health care demand. Our analysis, thus, highlights the important role of a full life-cycle perspective in the estimation of climate-induced health costs.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: ECON WPS ; No. 02/2017

Classification and Topics

• Classification: Wirtschaft ; Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡ ; Health Behavior ; Health and Economic Development ; Demographic Trends, Macroeconomic Effects, and Forecasts ; Value of Life; Forgone Income ; Climate; Natural Disasters and Their Management; Global Warming
• Subject: climate change ; climate-induced health risks ; life-cycle model ; health care ; value of life

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Frankovic, Ivan
• Event: Veröffentlichung
• (who): Vienna University of Technology, Institute of Statistics and Mathematical Methods in Economics, Research Group Economics
• (where): Vienna
• (when): 2017

Further information

• Handle: http://hdl.handle.net/10419/149991
• Last update: 10.03.2025, 11:45 AM CET