scholarly journals Predicting House Prices with Spatial Dependence: Impacts of Alternative Submarket Definitions

2008 ◽  
Author(s):  
Steven C. Bourassa ◽  
Eva Cantoni ◽  
Martin Hoesli
Keyword(s):  
Spatial Dependence ◽  
House Prices

Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods

2010 ◽  
Vol 32 (2) ◽  
pp. 139-160 ◽  
Author(s):  
Steven Bourassa ◽  
Eva Cantoni ◽  
Martin Hoesli
Keyword(s):  
Spatial Dependence ◽  
House Prices ◽  
Alternative Methods

scholarly journals Spatial Spillover of House Prices: An Empirical Study of the Yangtze Delta Urban Agglomeration in China

2019 ◽  
Vol 11 (2) ◽  
pp. 544 ◽  
Author(s):  
Ling Zhang ◽  
He Wang ◽  
Yan Song ◽  
Haizhen Wen
Keyword(s):  
Indirect Effects ◽  
Spatial Dependence ◽  
Industrial Structure ◽  
House Prices ◽  
Urban Agglomeration ◽  
Spatial Effects ◽  
Yangtze Delta ◽  
Data Set ◽  
Section Data ◽  
Year 2000

This study investigates the spatial dependence of house prices in the Yangtze Delta Urban Agglomeration since the year 2000. According to Moran’s I index and the LISA scatter plot derived from a cross-section data set, the spatial dependence of house prices can be traced across the 25 cities in the agglomeration and became more evident after 2005. This study develops a spatial panel model with geographical distance and economic distance weight matrices. Spatial effects significantly influenced house prices in both cases but the intensity of the former was weaker than for the latter. Income, proportion of the tertiary industry, and amenity exhibited significant indirect effects on house prices in other cities in the inner region of the agglomeration, while competition of population between cities with economic proximity exerted negative indirect effects. Furthermore, urban industrial structure, innovation capability, and urbanization degree revealed differences in terms of spatial dependence among various city groups.

The effect of educational test scores on house prices in a model with spatial dependence

2008 ◽  
Vol 17 (2) ◽  
pp. 191-200 ◽  
Author(s):  
Norman H. Sedgley ◽  
Nancy A. Williams ◽  
Frederick W. Derrick
Keyword(s):  
Spatial Dependence ◽  
Test Scores ◽  
House Prices ◽  
Educational Test

Convergence of regional population density in Russia over 120 years

2020 ◽  
pp. 133-158
Author(s):  
K. A. Kholodilin ◽  
Y. I. Yanzhimaeva
Keyword(s):  
Population Density ◽  
Spatial Dependence ◽  
Population Distribution ◽  
Regional Level ◽  
Capital City ◽  
County Level ◽  
Spatial Effects ◽  
Russian Regions ◽  
Regional Population ◽  
Regional Population Density

A relative uniformity of population distribution on the territory of the country is of importance from socio-economic and strategic perspectives. It is especially important in the case of Russia with its densely populated West and underpopulated East. This paper considers changes in population density in Russian regions, which occurred between 1897 and 2017. It explores whether there was convergence in population density and what factors influenced it. For this purpose, it uses the data both at county and regional levels, which are brought to common borders for comparability purposes. Further, the models of unconditional and conditional β-convergence are estimated, taking into account the spatial dependence. The paper concludes that the population density equalization took place in 1897-2017 at the county level and in 1926—1970 at the regional level. In addition, the population density increase is shown to be influenced not only by spatial effects, but also by political and geographical factors such as climate, number of GULAG camps, and the distance from the capital city.

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