Open Access Te Herenga Waka-Victoria University of Wellington
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The unfortunate regressivity of public natural disaster insurance: Quantifying distributional implications of EQC building cover for New Zealand

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posted on 2021-11-22, 21:19 authored by Sally OwenSally Owen

This thesis examines the question “What have been the distributional implications of the setup of Earthquake Commission (EQC) building cover for New Zealand homeowners?” In New Zealand, the vast majority of property owners pay identical premiums for the benefit of the first $100,000 tranche of natural disaster cover per dwelling. The research provides a detailed quantification of the degree of regressivity of the scheme created by these flat premiums. Using EQC claims and property datasets relating to the Canterbury Earthquake Series, I test the hypothesis that wealthier homeowners are receiving more benefit. Wealth is identified by property value, income and a range of socio-economic variables collected from the most recent New Zealand Census before the earthquake series. In explaining EQC total dwelling payout by property value and by these socio-economic variables, the research shows there is a distributional implication to EQC’s building cover. This thesis includes a proposed modification to the premium structure of the scheme, whereby regressivity could be avoided. The research concludes with a survey of other public natural disaster insurance schemes worldwide, and identifies those likely to face similar regressivity issues.

History

Copyright Date

2017-01-01

Date of Award

2017-01-01

Publisher

Te Herenga Waka—Victoria University of Wellington

Rights License

Author Retains Copyright

Degree Discipline

Economics

Degree Grantor

Te Herenga Waka—Victoria University of Wellington

Degree Level

Masters

Degree Name

Master of Commerce

ANZSRC Type Of Activity code

970114 Expanding Knowledge in Economics

Victoria University of Wellington Item Type

Awarded Research Masters Thesis

Language

en_NZ

Victoria University of Wellington School

School of Economics and Finance

Advisors

Noy, Ilan