A Residential Land Price Index for Luxembourg: Dealing with the Spatial Dimension

2018 ◽  
Author(s):  
Brano Glumac ◽  
Marcos Herrera Gomez ◽  
Julien Licheron
Keyword(s):  
Price Index ◽  
Spatial Dimension ◽  
Land Price ◽  
Residential Land

scholarly journals More Reliable Land Price Index: Is There a Slope Effect?

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 261
Author(s):  
Yi Huang ◽  
Geoffrey Hewings
Keyword(s):  
Land Use ◽  
Price Index ◽  
House Price ◽  
Land Values ◽  
Price Indices ◽  
Land Price ◽  
House Price Indices ◽  
Physical Attributes ◽  
Constant Quality

This paper focuses on the physical attributes of land that intrinsically limit land use and possibly affect land values. In particular, we investigate if the slope of a land does decrease its price and investigate the role of land slope in forming more reliable constant-quality land price indices and aggregate house price indices. We find that, while land slopes do decrease the land price per unit, they have a small effect on the quality-adjusted land price indices in selected neighborhoods in Auckland, New Zealand, where sloped terrain is common.

Modeling fine-scale residential land price distribution: An experimental study using open data and machine learning

2021 ◽  
Vol 129 ◽  
pp. 102442
Author(s):  
Peng Zhang ◽  
Shougeng Hu ◽  
Weidong Li ◽  
Chuanrong Zhang ◽  
Shengfu Yang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Experimental Study ◽  
Open Data ◽  
Fine Scale ◽  
Land Price ◽  
Residential Land ◽  
Price Distribution

The Study of the Factors Affecting Urban Residential Land Price

2013 ◽  
Vol 357-360 ◽  
pp. 2854-2858
Author(s):  
Hui Jiang ◽  
Sheng Hua Jia ◽  
Yan Feng Huang
Keyword(s):  
Fixed Effects ◽  
Positive Impact ◽  
Urban Infrastructure ◽  
Living Standards ◽  
Fixed Effects Model ◽  
Land Price ◽  
Residential Land ◽  
Factors Affecting ◽  
Panel Model ◽  
Level Of Economic Development

In this paper, we use the 2005-2010 data of 35 large and medium cities in China to establish a panel model, and fixed effects model is used to estimate the factors that affect the price of urban residential land. The empirical results show that urban infrastructure, the level of economic development, the living standards of residents and the size of the population have a significant positive impact on urban residential land price.

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