Arbeitspapier

Natural disasters and macroeconomic performance

Recent empirical research has shown that output and GDP per capita in the aftermath of natural disasters are not necessarily lower than before the event. In many cases, both are not significantly affected and, surprisingly, sometimes they are found to respond positively to natural disasters. Here, we propose a novel economic theory that explains these observations. Specifically, we show that GDP is driven above its pre-shock level when natural disasters destroy predominantly durable consumption goods (cars, furniture, etc.). Disasters destroying mainly productive capital, in contrast, are predicted to reduce GDP. Insignificant responses of GDP can be expected when disasters destroy both, durable goods and productive capital. We extend the model by a residential housing sector and show that disasters may also have an insignificant impact on GDP when they destroy residential houses and durable goods. We show that disasters, irrespective of whether their impact on GDP is positive, negative, or insignificant, entail considerable losses of aggregate welfare.

Language
Englisch

Bibliographic citation
Series: ECON WPS ; No. 07/2016

Classification
Wirtschaft
Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy: General (includes Measurement and Data)
Economic Growth and Aggregate Productivity: General
Climate; Natural Disasters and Their Management; Global Warming
Housing Supply and Markets
Subject
natural disasters
economic recovery
durable goods
residential housing
economic growth

Event
Geistige Schöpfung
(who)
Strulik, Holger
Trimborn, Timo
Event
Veröffentlichung
(who)
Vienna University of Technology, Institute of Statistics and Mathematical Methods in Economics, Research Group Economics
(where)
Vienna
(when)
2016

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Strulik, Holger
  • Trimborn, Timo
  • Vienna University of Technology, Institute of Statistics and Mathematical Methods in Economics, Research Group Economics

Time of origin

  • 2016

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