scholarly journals PREDICTING HOUSE PRICES WITH SPATIAL DEPENDENCE: IMPACTS OF ALTERNATIVE SUBMARKET DEFINITIONS

2008 ◽  
2010 ◽  
Vol 32 (2) ◽  
pp. 139-160 ◽  
Author(s):  
Steven Bourassa ◽  
Eva Cantoni ◽  
Martin Hoesli

2019 ◽  
Vol 11 (2) ◽  
pp. 544 ◽  
Author(s):  
Ling Zhang ◽  
He Wang ◽  
Yan Song ◽  
Haizhen Wen

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.


2008 ◽  
Vol 17 (2) ◽  
pp. 191-200 ◽  
Author(s):  
Norman H. Sedgley ◽  
Nancy A. Williams ◽  
Frederick W. Derrick

2020 ◽  
pp. 133-158
Author(s):  
K. A. Kholodilin ◽  
Y. I. Yanzhimaeva

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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