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Non-life insurance consumption in Italy: a sub-regional panel data analysis

Author

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  • Giovanni Millo

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  • Gaetano Carmeci

Abstract

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Suggested Citation

  • Giovanni Millo & Gaetano Carmeci, 2011. "Non-life insurance consumption in Italy: a sub-regional panel data analysis," Journal of Geographical Systems, Springer, vol. 13(3), pages 273-298, September.
  • Handle: RePEc:kap:jgeosy:v:13:y:2011:i:3:p:273-298
    DOI: 10.1007/s10109-010-0125-5
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    File URL: http://hdl.handle.net/10.1007/s10109-010-0125-5
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    References listed on IDEAS

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    1. Bera, Anil K. & Sosa-Escudero, Walter & Yoon, Mann, 2001. "Tests for the error component model in the presence of local misspecification," Journal of Econometrics, Elsevier, vol. 101(1), pages 1-23, March.
    2. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2008. "Trusting the Stock Market," Journal of Finance, American Finance Association, vol. 63(6), pages 2557-2600, December.
    3. Robert G. King & Ross Levine, 1993. "Finance and Growth: Schumpeter Might Be Right," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 717-737.
    4. Briys, Eric & Dionne, Georges & Eeckhoudt, Louis, 1989. "More on Insurance as a Giffen Good," Journal of Risk and Uncertainty, Springer, vol. 2(4), pages 415-420, December.
    5. Borch, Karl, 1986. "Insurance and Giffen's paradox," Economics Letters, Elsevier, vol. 20(4), pages 303-306.
    6. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    7. Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
    8. Baltagi, Badi H. & Li, Qi, 1995. "Testing AR(1) against MA(1) disturbances in an error component model," Journal of Econometrics, Elsevier, vol. 68(1), pages 133-151, July.
    9. Arthur Hau, 2008. "When Is a Coinsurance-Type Insurance Policy Inferior or Even Giffen?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(2), pages 343-364.
    10. Luigi Guiso & Tullio Jappelli, 1998. "Background Uncertainty and the Demand for Insurance Against Insurable Risks," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 23(1), pages 7-27, June.
    11. Hoy, Michael & Robson, Arthur J., 1981. "Insurance as a Giffen good," Economics Letters, Elsevier, vol. 8(1), pages 47-51.
    12. Baltagi, Badi H. & Heun Song, Seuck & Cheol Jung, Byoung & Koh, Won, 2007. "Testing for serial correlation, spatial autocorrelation and random effects using panel data," Journal of Econometrics, Elsevier, vol. 140(1), pages 5-51, September.
    13. Neil Esho & Anatoly Kirievsky & Damian Ward & Ralf Zurbruegg, 2004. "Law and the Determinants of Property-Casualty Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(2), pages 265-283.
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    Citations

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    Cited by:

    1. Millo, Giovanni, 2014. "Maximum likelihood estimation of spatially and serially correlated panels with random effects," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 914-933.
    2. repec:eee:regeco:v:66:y:2017:i:c:p:28-38 is not listed on IDEAS
    3. Lester, Rodney, 2014. "Insurance and inclusive growth," Policy Research Working Paper Series 6943, The World Bank.
    4. Martin Eling & Dieter Kiesenbauer, 2012. "Does Surplus Participation Reflect Market Discipline? An Analysis of the German Life Insurance Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 42(3), pages 159-185, December.
    5. Giovanni Millo, 2016. "The Income Elasticity of Nonlife Insurance: A Reassessment," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(2), pages 335-362, June.

    More about this item

    Keywords

    Insurance development; Regional panel; Spatial dependence; C31; C33; G22;

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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