Using Machine Learning Models and Actual Transaction Data for Predicting Real Estate Prices
Applied Sciences, 2020 Real estate price prediction is crucial for the establishment of real estate policies and can help real estate owners and agents make informative decisions. The aim of this study is to employ actual transaction data and machine learning models to predict
Ping-Feng Pai, Wen-Chang Wang
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Commercial Real Estate Prices in Europe After COVID-19
Journal of European Real Estate Research, 2023 Hoesli M, Malle R.
europepmc +2 more sources
ON THE IMPACT OF REAL ESTATE PRICES ON THE DEVELOPMENT OF REGIONAL ECONOMY IN CHINA–AN ESTIMATION BASED ON PANEL QUANTILE REGRESSION MODEL [PDF]
Malaysian E Commerce Journal, 2021 The paper analyzes the mechanism of real estate prices on economic development with panel quantile regression model. It is found that real estate prices can significantly promote economic development.
Baili Zhang +3 more
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Analysis of Factors Affecting the Dynamics of Residential Real Estate Prices in Russia
Финансы: теория и практика, 2023 In this paper, we have constructed a VAR model to identify and assess the impact of real interest rate shocks, real estate demand, oil prices, uncertainty, and aggregate business activity on residential real estate prices in Russia.
N. S. Nikitina
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Analysis of the impact of macroeconomic factors on real estate prices in Bosnia And Herzegovina
ECONOMICS, 2022 Economic theory and practice are not acquainted with any unique set of macroeconomic factors that affect real estate prices. The very complexity of this phenomenon relativizes any attempt to establish an unchanged list of macroeconomic factors in BiH ...
Stanković Dragan
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Graph Convolutional Network-Based Model for Megacity Real Estate Valuation
IEEE Access, 2022 It is challenging to make precise assessments of real estate prices due to its elevated individual prices, complicated influencing factors, and ambiguous attribute selection.
Zongyan Yang +3 more
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EXPLORING THE IMPACT OF REAL ESTATE POLICY ON REAL ESTATE TRADING USING THE TIME SERIES ANALYSIS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Housing price is a major issue affecting people's lives, but also closely related to the interests of the people themselves. Housing prices are affected by various factors, such as economic factors, population size factors, social factors, national ...
S. W. Shao, X. Huang, L. X. Xiao, H. Liu
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3D Modeling of Discontinuity in the Spatial Distribution of Apartment Prices Using Voronoi Diagrams
Remote Sensing, 2020 An immanent feature of the housing market is a large spatial dispersion of real estate prices along with their simultaneous high stratification. Application of classic methods of data interpolation results in an excessive simplification of the outcome ...
Mirosław Bełej, Marta Figurska
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Regional real estate prices 1920 - 1944, comparison of the economic progress [PDF]
Business & IT, 2017 The market situation in the world between World War I and World War II developed rapidly in the Czech lands. The article summarizes the data acquired by Decorating Ads (1920-1944) and maps the real estate market in selected locations to the beginning of ...
Beran, Vaclav +2 more
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ANALYSIS OF THE INFLUENCE OF SPECIFIC FACTORS ON REAL ESTATE PRICES IN THE REPUBLIC OF SRPSKA
Acta Economica, 2022 The work deals with the analysis of the real estate market and the specificities of the formation of real estate prices in the Republic of Srpska. The specificity is reflected, among other things, in the definition of the market value of real estate if ...
Dragan Stanković
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