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Information Capacity Database in the Rating Model on the Basis of Polish and Italian Real Estate Markets

Author

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  • Renigier-Biłozor Małgorzata

    (Faculty of Geodesy, Geospatial and Civil Engineering, University of Warmia and Mazury in Olsztyn)

  • Biłozor Andrzej

    (Faculty of Geodesy, Geospatial and Civil Engineering, University of Warmia and Mazury in Olsztyn)

Abstract

Preliminary data analyses in decision-making systems and procedures are very important for numerous reasons, in particular because the accumulation and analysis of large data sets is costly and time-consuming. The effective use of decision support systems, including on the real estate market, requires the elimination of noise. The authors have proposed to eliminate redundant data with the use of the modified method for evaluating the capacity of the data set, which is applied in the process of classifying the condition of real estate markets. The proposed procedure (subsystem) is an attempt to improve the effectiveness of analyses relating to the development of methods for rating real estate markets. The proposed solutions will be simulated on the example of leading real estate markets in Poland and Italy.

Suggested Citation

  • Renigier-Biłozor Małgorzata & Biłozor Andrzej, 2016. "Information Capacity Database in the Rating Model on the Basis of Polish and Italian Real Estate Markets," Real Estate Management and Valuation, Sciendo, vol. 24(3), pages 40-51, September.
    • Handle: RePEc:vrs:remava:v:24:y:2016:i:3:p:40-51:n:4
    DOI: 10.1515/remav-2016-0020
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    References listed on IDEAS

    as
    1. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    2. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    3. Karl E. Case & Robert J. Shiller, 1990. "Forecasting Prices and Excess Returns in the Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 18(3), pages 253-273, September.
    4. van Groenendaal, W.J.H., 2003. "Group decision support for public policy planning," Other publications TiSEM eecbe70b-1ce7-4885-903f-6, Tilburg University, School of Economics and Management.
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    More about this item

    Keywords

    decision-making systems; highest integral information capacity; real estate market rating;
    All these keywords.

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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