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Autor
Wiśniewski Radosław (University of Warmia and Mazury in Olsztyn, Poland)
Tytuł
Modeling of Residential Property Prices Index Using Committees of Artificial Neural Networks for Pigs the European-G8 and Poland
Źródło
Argumenta Oeconomica, 2017, nr 1 (38), s. 145-194, rys., tab., bibliogr. 90 poz.
Argumenta Oeconomica
Słowa kluczowe
Ceny nieruchomości, Nieruchomości, Sieci neuronowe, Zharmonizowany wskaźnik cen konsumpcyjnych
Real estate prices, Real estate, Neural networks, Harmonised Index of Consumer Prices (HICP)
Uwagi
summ.
Firma/Organizacja
Grupa G8
G8 Group
Abstrakt
This paper develops models of residential property prices indices for PIGS, the European-G8 and Poland using a committee of artificial neural networks approach. Quarterly time series data are applied for testing and the empirical results suggest that population growth, unemployment rate, final consumption expenditure, net national income (ANNI), household final consumption expenditure, long-term interest rates, HICP rate of change of housing, water, electricity, gas and other fuels, HICP housing services, HICP actual rentals for housing, and HICP maintenance and repair of the dwelling are the major determinants of the residential property price index in PIGS, the European-G8 and Poland. The developed models show that the economic and financial situation in a given country affects the residential property markets. Residential property markets are connected, despite the fact that they are situated in different parts of Europe. The economic and financial crisis in the countries of the PIGS group affects not only the PIGS markets but also the real estate markets of the European-G8 and Poland. The results also suggest that a methodology based on a committee of artificial neural networks has the ability to learn, generalize, and converge the residential property prices index3.(original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka Szkoły Głównej Handlowej w Warszawie
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
Biblioteka Główna Uniwersytetu Ekonomicznego we Wrocławiu
Pełny tekst
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Bibliografia
Pokaż
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Cytowane przez
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ISSN
1233-5835
Język
eng
URI / DOI
http://dx.doi.org/10.15611/aoe.2017.1.06
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