scholarly journals The MARS Algorithm in the Spatial Framework: Non-Linearities and Spatial Effects in Hedonic Models

2020 ◽  
Author(s):  
Fernando A. López ◽  
Konstantin A. Kholodilin
Keyword(s):  
Spatial Effects ◽  
Hedonic Models ◽  
Spatial Framework

Spatial effects and non-linearity in hedonic modeling

2018 ◽  
Vol 36 (1) ◽  
pp. 32-49 ◽  
Author(s):  
Marcelo Cajias ◽  
Sebastian Ertl
Keyword(s):  
Real Estate ◽  
Functional Form ◽  
Asymptotic Properties ◽  
Additive Model ◽  
Percentage Error ◽  
Spatial Effects ◽  
Hedonic Models ◽  
Data Set ◽  
Content Type ◽  
Out Of Sample

Purpose The purpose of this paper is to test the asymptotic properties and prediction accuracy of two innovative methods proposed along the hedonic debate: the geographically weighted regression (GWR) and the generalized additive model (GAM). Design/methodology/approach The authors assess the asymptotic properties of linear, spatial and non-linear hedonic models based on a very large data set in Germany. The employed functional form is based on the OLS, GWR and the GAM, while the estimation methodology was chosen to be iterative in forecasting, the fitted rents for each quarter based on their 1-quarter-prior functional form. The performance accuracy is measured by traditional indicators such as the error variance and the mean squared (percentage) error. Findings The results provide evidence for a clear disadvantage of the GWR model in out-of-sample forecasts. There exists a strong out-of-sample discrepancy between the GWR and the GAM models, whereas the simplicity of the OLS approach is not substantially outperformed by the GAM approach. Practical implications For policymakers, a more accurate knowledge on market dynamics via hedonic models leads to a more precise market control and to a better understanding of the local factors affecting current and future rents. For institutional researchers, instead, the findings are essential and might be used as a guide when valuing residential portfolios and forecasting cashflows. Even though this study analyses residential real estate, the results should be of interest to all forms of real estate investments. Originality/value Sample size is essential when deriving the asymptotic properties of hedonic models. Whit this study covering more than 570,000 observations, this study constitutes – to the authors’ knowledge – one of the largest data sets used for spatial real estate analysis.

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.

Spatial Effects in Land Price Models in Austria

2019 ◽  
Author(s):  
Wolfgang Feilmayr ◽  
Wolfgang Brunauer ◽  
Moritz Starzer
Keyword(s):  
Spatial Effects ◽  
Land Price

Stochastic seismic response of a high-pier bridge: considering spatial effects

2013 ◽  
Author(s):  
Hao Hong ◽  
Shixiong Zheng ◽  
Hongyu Jia ◽  
Li Yu ◽  
Jianhui Gao
Keyword(s):  
Seismic Response ◽  
Spatial Effects ◽  
Stochastic Seismic Response ◽  
High Pier

An Analysis of Disease and Insect Pest Outbreak Considering Spatial Effects : the Case of Rice Sheath Blight

2018 ◽  
Vol 59 (2) ◽  
pp. 85-115
Author(s):  
Yongjoon Kim ◽  
◽  
Donghwan An ◽  
Keyword(s):  
Insect Pest ◽  
Sheath Blight ◽  
Spatial Effects ◽  
Rice Sheath Blight

Measuring Spatial Effects in Presence of Institutional Constraints: The Case of Italian Local Health Authority Expenditure

2013 ◽  
Author(s):  
Vincenzo Atella ◽  
Federico Belotti ◽  
Domenico Depalo ◽  
Andrea Piano Mortari
Keyword(s):  
Health Authority ◽  
Institutional Constraints ◽  
Local Health Authority ◽  
Local Health ◽  
Spatial Effects

scholarly journals Study on the Effect of Environmental Regulation on the Green Total Factor Productivity of Logistics Industry from the Perspective of Low Carbon

2019 ◽  
Vol 12 (1) ◽  
pp. 175 ◽  
Author(s):  
Zijing Liang ◽  
Yung-ho Chiu ◽  
Xinchun Li ◽  
Quan Guo ◽  
Yue Yun
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Jiangsu Province ◽  
Spatial Effects ◽  
Low Carbon ◽  
Method Of Moment ◽  
Factor Productivity ◽  
Logistics Industry ◽  
Forward Logistics ◽  
The Government

Under the low-carbon background, with the aid of the Malmquist–Luenberger SBM (Slack-based Measure) model of unexpected output, the green total factor productivity (GTFP) of the logistics industry in Jiangsu Province, China, was measured and decomposed in this study based on the reality and experience of logistics industry development in 13 cities in three regions of Jiangsu Province in the years 2006–2018 by taking resource consumption into the input system and discharged pollutants into the output system. It is concluded that the environmental regulation (ER) has a significant positive effect on the growth of the GTFP of the logistics industry, and technological progress has become an important endogenous force that promotes the GTFP of the logistics industry in Jiangsu Province. On this basis, a dynamic GMM (Generalized method of moment) model and a Tobit model were constructed to further study the possible temporal and spatial effects of ER on the GTFP of the logistics industry. The research results reveal that the ER can exert both promoting and inhibitory effects on the GTFP of the logistics industry, and there is a temporal turning point for the effects. Besides, the effects notably differ spatially and temporally. Finally, some policies and advice for the green sustainable development of the logistics industry were proposed. For example, the government and enterprises should pay attention to the green and efficient development of the logistics industry and dynamically adjust the ER methods. They should consider the greening of both forward logistics links and reverse logistics system in the supply chain.

Quantitative Measurement of Spatial Effects of DNA Origami on Molecular Binding Reactions Detected using Atomic Force Microscopy

2019 ◽  
Vol 11 (24) ◽  
pp. 21973-21981 ◽  
Author(s):  
Ping Zhang ◽  
Fei Wang ◽  
Wenjing Liu ◽  
Xiuhai Mao ◽  
Changchun Hao ◽  
...  
Keyword(s):  
Atomic Force Microscopy ◽  
Quantitative Measurement ◽  
Dna Origami ◽  
Spatial Effects ◽  
Molecular Binding ◽  
Force Microscopy ◽  
Atomic Force
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