Arbeitspapier

Earthquake risk embedded in property prices: Evidence from five Japanese cities

We analyze the impact of short-run and long-run earthquake risk on Japanese property prices. We exploit a rich panel data set of property characteristics, ward attractiveness information, macroeconomic variables, seismic hazard data, and historical earthquake occurrences, supplemented with short-run earthquake probabilities that we generate from a seismic excitation model. We design a hedonic property price model that allows for probability weighting, employ a multivariate error components structure, and develop associated maximum likelihood estimation and variance computation procedures. We find that distorted short-run and long-run earthquake probabilities have a significantly negative impact on property prices. Our approach enables us to identify the total compensation for earthquake risk embedded in property prices and to decompose this into pieces stemming from short-run and long-run risk, and to further decompose this into objective and distorted risk components.

Sprache
Englisch

Erschienen in
Series: Tinbergen Institute Discussion Paper ; No. TI 2018-061/III

Klassifikation
Wirtschaft
Urban, Rural, Regional, Real Estate, and Transportation Economics: Household Analysis: General
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Criteria for Decision-Making under Risk and Uncertainty
Valuation of Environmental Effects
Thema
Earthquake risk
House price
Seismic excitation
Probability weighting
Hedonic pricing
Multivariate error components

Ereignis
Geistige Schöpfung
(wer)
Ikefuji, Masako
Laeven, Roger J. A.
Magnus, Jan R.
Yue, Yuan
Ereignis
Veröffentlichung
(wer)
Tinbergen Institute
(wo)
Amsterdam and Rotterdam
(wann)
2018

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Ikefuji, Masako
  • Laeven, Roger J. A.
  • Magnus, Jan R.
  • Yue, Yuan
  • Tinbergen Institute

Entstanden

  • 2018

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