Accès libre

The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech Republic

À propos de cet article

Citez

Adair A. S., Berry J. N., McGreal W. S., 1996, Hedonic modelling, housing submarkets and residential valuation, Journal of Property Research, vol. 3, no. 1, pp. 67-83.10.1080/095999196368899Search in Google Scholar

Algermissen S. T., Steinbrugge K. V., 1984, Seismic Hazard and Risk assessment: Some Case Studies, The Geneva Papers on Risk and Insurance, vol. 9, no. 1, pp. 8-26.10.1057/gpp.1984.2Search in Google Scholar

Amidu A., Aluko B. T., 2010, Client influence on valuation: Perceptual analysis of the driving factors, International Journal of Strategic Property Management, vol. 11, no. 2, pp. 77–89.10.3846/1648715X.2007.9637562Search in Google Scholar

Bin O., 2004, A prediction comparison of housing sales prices by parametric versus semi-parametric regressions, Journal of Housing Economics, vol. 13, no. 1, pp. 68-84.10.1016/j.jhe.2004.01.001Search in Google Scholar

Breiman L., Friedman J., Stone C. J., Olshen R. A., 1984, Classification and Regression Trees (Wadsworth Statistics/Probablility), Chapman and Hall/CRC, UK.Search in Google Scholar

Cannaday R. E., Sunderman M. A., 1986, Estimation of Depreciation for Single-Family Appraisals, Real Estate Economics, vol. 14, no. 2, pp. 255–273.10.1111/1540-6229.00386Search in Google Scholar

Chorafas D. N., 2004, Operational Risk Control Business Opportunity and Challenges for the Insurance Industry, The Geneva Papers on Risk and Insurance: Issues and Practice, vol. 29, no. 1, pp. 87-101.10.1111/j.1468-0440.2004.00274.xSearch in Google Scholar

Cichulska A., Cellmer R., 2019, Analysis of Prices in the Housing Market Using Mixed Models, Real Estate Management and Valuation, vol. 26, no. 4, pp. 102-111.10.2478/remav-2018-0040Search in Google Scholar

Copiello S., Bonifaci P., 2018, Depreciated Replacement Cost: Improving the Method Through a Variant Based on three Cornerstones, Real Estate Management and Valuation, vol. 26, no. 2, pp. 33-47.10.2478/remav-2018-0014Search in Google Scholar

Cupal M., 2014, Models for insurable value assessment, their accuracy and optimal value of buildings, Economic Challenges in Enlarged Europe conference proceedings. Tallinn: Tallinn University of Technology.Search in Google Scholar

Ebru C., Eban A., 2011, Determinants of house prices in Istanbul: a quantile regression approach, Quality & Quantity, vol. 45, no. 2, pp. 305–317.10.1007/s11135-009-9296-xSearch in Google Scholar

Fan G. Z., Ong S. E., Koh H. C., 2006, Determinants of house price: A decision tree approach, Urban Studies, vol. 43, no. 12, pp. 2301-2316.10.1080/00420980600990928Search in Google Scholar

Feldman D., Gross S., 2005, Mortgage Default: Classification Trees Analysis, The Journal of Real Estate Finance and Economics, vol. 30, no. 4, pp. 369–396.10.1007/s11146-005-7013-7Search in Google Scholar

Francke M. K., Vos G. A., 2004, The hierarchical trend model for property valuation and local price indices, The Journal of Real Estate Finance and Economics, vol. 28, no. 2, pp. 179–208.10.1023/B:REAL.0000011153.04496.42Search in Google Scholar

Hannonen M., 2008, Predicting Urban Land prices: A comparison of four approaches, International Journal of Strategic Property Management, vol. 12, no. 4, pp. 217–236.10.3846/1648-715X.2008.12.217-236Search in Google Scholar

Harrison D., Rubinfeld D. L., 1978, Hedonic housing prices and the demand for clean air, Journal of Environmental Economics and Management, vol. 5, no. 1, pp. 81-102.10.1016/0095-0696(78)90006-2Search in Google Scholar

Keskin B., 2008, Hedonic analysis of price in the Istanbul housing market, International Journal of Strategic Property Management, vol. 12, no. 2, pp. 125–138.10.3846/1648-715X.2008.12.125-138Search in Google Scholar

Kim H. G., Hung K. C., Park S. Y., 2015, Determinants of Housing Prices in Hong Kong: A Box-Cox Quantile Regression Approach, The Journal of Real Estate Finance and Economics, vol. 50, no. 2, pp. 270–287.10.1007/s11146-014-9456-1Search in Google Scholar

Kusan H., Aytekun O., Ozdemir I., 2010, The use of fuzzy logic in predicting house selling price, Expert Systems with Applications, vol. 37, no. 3, pp. 1808-1813.10.1016/j.eswa.2009.07.031Search in Google Scholar

Mansfield J. R., Pinder J. A., 2008, ‘Economic’ and ‘functional’ obsolescence: their charakteristics and impacts on valuation practice, Property Management, vol. 26, no. 3, pp. 191-206.10.1108/02637470810879233Search in Google Scholar

MFCR - Ministry of Finance of the Czech Republic, 2013, Zákon č. 151/1997 Sb. v platném znění pro rok 2014 a jeho prováděcí vyhláška č. 441/2013 Sb. (Property Valuation Act Nr. 151 of 1997 and its implementing regulation Nr. 441 of 2013 incl. Appendix), Prag.Search in Google Scholar

Sandroni A., Squintani F., 2013, Overconfidence and asymmetric information: The case of insurance, Journal of economic behavior & organization, vol. 93, pp. 149-165.10.1016/j.jebo.2012.10.015Search in Google Scholar

Seber G. A. F., Lee A. J., 2003, Linear regression analysis, John Wiley and Sons, Hoboken, NJ.10.1002/9780471722199Search in Google Scholar

Sedlacik M., Odehnal J., Foltin, P., 2015, Classification of Terrorism Risk by Multidimensional Statistical Methods, AIP Conference Proceedings 1648 720011.Search in Google Scholar

Selim H., 2009, Determinants of house prices in Turkey: Hedonic regression versus artificial neural network, Expert systems with Applications, vol. 36, no. 2, pp. 2843-2852.10.1016/j.eswa.2008.01.044Search in Google Scholar

Selim S., 2008, Determinants of house prices in Turkey: Hedonic regression model, Doğuş Üniversitesi Dergisi, vol. 9, no. 1, pp. 65-76.10.31671/dogus.2019.223Search in Google Scholar

Sirmans G. S., MacDonald L., Macpherson D. A. et al., 2006, The Value of Housing Characteristics: A Meta Analysis, The Journal of Real Estate Finance and Economics, vol. 33, no. 3, pp. 215-240.10.1007/s11146-006-9983-5Search in Google Scholar

Speyrer J. F., Ragas W. R., 1991, Housing prices and flood risk: An examination using spline regression, The Journal of Real Estate Finance and Economics, vol. 4, no. 4, pp. 395-407.10.1007/BF00219506Search in Google Scholar

Stendebakken M. O. G., Grytli E. R., Olsson, N. O. E., 2015, Proposed aspects for evaluation of the value of spaces in historic buildings, Procedia Economics and Finance, vol. 21, pp. 23-31.10.1016/S2212-5671(15)00146-XSearch in Google Scholar

The European Group of Valuers Associations – TEGoVA, 2012, European Valuation Standards, Gillis, Belgium.Search in Google Scholar

Wong S. K., Yiu C. Y., Chau K. W., 2012, Liquidity and Information Asymmetry in the Real Estate Market, The Journal of Real Estate Finance and Economics, vol. 45, no. 1, pp. 49-62.10.1007/s11146-011-9326-zSearch in Google Scholar

Xu Y., Zhang Q., Zheng S. et al., 2017, House Age, Price and Rent: Implications from Land-Structure Decomposition, The Journal of Real Estate Finance and Economics, vol. 55, no. 1, pp. 1-22.Search in Google Scholar

Zietz J., Zietz E. N., Sirmans G. S., 2008, Determinants of House Prices: A Quantile Regression Approach, The Journal of Real Estate Finance and Economics, vol. 37, no. 4, pp. 317–333.10.1007/s11146-007-9053-7Search in Google Scholar

eISSN:
2300-5289
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Business and Economics, Political Economics, other