Arbeitspapier

An econometric analysis of the demand surge effect

In case of a natural catastrophe there is an increased demand for skilled labor and materials which in turn leads to significant price increases that should be taken into account in the forecast of catastrophe losses. Such price effects are referred to as Demand Surge effects. The paper at hand presents an extensive econometric analysis and modeling of the Demand Surge effect. We find that Demand Surge is positively influenced by the total amount of repair work, by alternative catastrophes in the same region in close temporal proximity, and by a higher amount of insurance claims per event. Furthermore, the Demand Surge effect is more pronounced if the construction sector is in a growth stage. In contrast, a higher capacity of the construction sector has a restraining effect on Demand Surge. In addition, if we restrict the data to very severe catastrophes, we observe a saturation effect according to which a wage increase for building services before a catastrophe reduces the Demand Surge effect.

Sprache
Englisch

Erschienen in
Series: Working Paper Series ; No. IF44V1

Klassifikation
Wirtschaft
Rationing; Licensing
Wage Level and Structure; Wage Differentials
Climate; Natural Disasters and Their Management; Global Warming
General Regional Economics: Econometric and Input-Output Models; Other Models
Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
Other Spatial Production and Pricing Analysis
Thema
demand surge
natural disasters
empirical analysis
insurance

Ereignis
Geistige Schöpfung
(wer)
Döhrmann, David
Gürtler, Marc
Hibbeln, Martin
Ereignis
Veröffentlichung
(wer)
Technische Universität Braunschweig, Institut für Finanzwirtschaft
(wo)
Braunschweig
(wann)
2013

DOI
doi:10.2139/ssrn.2222041
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Döhrmann, David
  • Gürtler, Marc
  • Hibbeln, Martin
  • Technische Universität Braunschweig, Institut für Finanzwirtschaft

Entstanden

  • 2013

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