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What Drives Property Insurance Demand in Croatia?

Author

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  • Krišto Jakša

    (University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia.)

  • Kedžo Margareta Gardijan

    (University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia.)

  • Škrinjarić Tihana

    (Bank of England, London, United Kingdom.)

Abstract

Property insurance is an important part of risk management, insurance coverage and vehicle of catastrophic losses financing. In developed countries, property insurance plays an important role in the structure of non-life premium, while in developing markets, such as Croatian, property insurance penetration is rather low. Unfortunately, the recent earthquakes in Zagreb (Croatia) and the surrounding area in 2020 have once again highlighted a large protection gap, resulting in a dominant role of government in financing catastrophic losses. The aim of this paper is to discuss and investigate the factors that determinate property insurance demand in Croatia. Using the VAR (Vector AutoRegression) methodology extended via spillover index approach, we analyse a comprehensive data set ranging from the economic, financial, social to insurance indicators. The conclusions of this research point that some of the expected drivers of insurance demand such as mortgage loans, consumer confidence and loss experience, are not important in Croatia, and that property insurance is dominantly driven by economic development.

Suggested Citation

  • Krišto Jakša & Kedžo Margareta Gardijan & Škrinjarić Tihana, 2024. "What Drives Property Insurance Demand in Croatia?," Zagreb International Review of Economics and Business, Sciendo, vol. 27(1), pages 155-176.
  • Handle: RePEc:vrs:zirebs:v:27:y:2024:i:1:p:155-176:n:1008
    DOI: 10.2478/zireb-2024-0008
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    References listed on IDEAS

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    1. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    2. Browne, Mark J & Hoyt, Robert E, 2000. "The Demand for Flood Insurance: Empirical Evidence," Journal of Risk and Uncertainty, Springer, vol. 20(3), pages 291-306, May.
    3. Vijay Aseervatham & Patricia Born & Dominik Lohmaier & Andreas Richter, 2017. "Hazard-Specific Supply Reactions in the Aftermath of Natural Disasters," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 42(2), pages 193-225, April.
    4. J. Francois Outreville, 2014. "Risk Aversion, Risk Behavior, and Demand for Insurance: A Survey," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 37(2), pages 158-186.
    5. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    6. Cai, Jing & Song, Changcheng, 2017. "Do disaster experience and knowledge affect insurance take-up decisions?," Journal of Development Economics, Elsevier, vol. 124(C), pages 83-94.
    7. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    8. J. François Outreville, 2013. "The Relationship Between Insurance and Economic Development: 85 Empirical Papers for a Review of the Literature," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 16(1), pages 71-122, March.
    9. Michele Lenza & Giorgio E. Primiceri, 2020. "How to Estimate a VAR after March 2020," NBER Working Papers 27771, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    property insurance demand; Croatian insurance market; VAR model; spillover effect;
    All these keywords.

    JEL classification:

    • G52 - Financial Economics - - Household Finance - - - Insurance
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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