Spatial Econometric Methods for Modeling Origin Destination Flows

2008 ◽  
Author(s):  
James P. LeSage ◽  
Manfred M. Fischer
Keyword(s):  
Spatial Econometric ◽  
Econometric Methods

scholarly journals Modelling Housing Rents Using Spatial Autoregressive Geographically Weighted Regression: A Case Study in Cracow, Poland

2020 ◽  
Vol 9 (6) ◽  
pp. 346
Author(s):  
Mateusz Tomal
Keyword(s):  
Geographically Weighted Regression ◽  
Rental Housing ◽  
Ordinary Least Squares ◽  
Weighted Regression ◽  
Spatial Econometric ◽  
Econometric Methods ◽  
Depth Analysis ◽  
Sar Model ◽  
Internet Platform ◽  
Spatial Autoregressive

The proportion of tenants will undoubtedly rise in Poland, where at present, the ownership housing model is very dominant. As a result, the rental housing market in Poland is currently under-researched in comparison with owner-occupancy. In order to narrow this research gap, this study attempts to identify the determinants affecting rental prices in Cracow. The latter were obtained from the internet platform otodom.pl using the web scraping technique. To identify rent determinants, ordinary least squares (OLS) regression and spatial econometric methods were used. In particular, traditional spatial autoregressive model (SAR) and spatial autoregressive geographically weighted regression (GWR-SAR) were employed, which made it possible to take into account the spatial heterogeneity of the parameters of determinants and the spatially changing spatial autocorrelation of housing rents. In-depth analysis of rent determinants using the GWR-SAR model exposed the complexity of the rental market in Cracow. Estimates of the above model revealed that many local markets can be identified in Cracow, with different factors shaping housing rents. However, one can identify some determinants that are ubiquitous for almost the entire city. This concerns mainly the variables describing the area of the flat and the age of the building. Moreover, the Monte Carlo test indicated that the spatial autoregressive parameter also changes significantly over space.

scholarly journals Spatial Econometrics – Usage in Transportation Sciences: A Review Article

2019 ◽  
Vol 48 (2) ◽  
pp. 143-149 ◽  
Author(s):  
Zsombor Szabó ◽  
Árpád Török
Keyword(s):  
Spatial Econometrics ◽  
Review Article ◽  
Spatial Econometric ◽  
Econometric Methods ◽  
Review Articles

Nowadays the spatial econometrics is became widely used in transportation sciences. In order to know which method can be used or how they should be used, the review articles give answers. In this recent paper the goal is to collect all of the methods in one article which can be used in further researches. The improvement in this article is that beside the spatial econometric methods, other necessary techniques are also introduced. With this fact a whole analysis can be applied.

scholarly journals Spatio-temporal Analysis of Unemployment Rate in Poland

2013 ◽  
Vol 15 (4) ◽  
pp. 133-145 ◽  
Author(s):  
Karolina Lewandowska-Gwarda
Keyword(s):  
Labor Market ◽  
Unemployment Rate ◽  
Social Economic ◽  
Temporal Analysis ◽  
Econometric Models ◽  
Spatiotemporal Data ◽  
Spatial Econometric ◽  
Econometric Methods ◽  
Spatial Econometric Models ◽  
Spatio Temporal

The aim of this paper is to present results of spatio-temporal analysis of unemployment rate in Poland, with the usage of advanced spatial econometric methods. The analysis was done on data collected for ‘powiat’ level between 2006 and 2010. GlS and ESDA tools were applied for visualization of the spatiotemporal data and identification of spatial interactions between polish counties on labor market. Multi-equation spatial econometric models were used to describe unemployment rate in relation to selected social-economic variables.

Modeling dynamic price dispersion of hotel rooms in a spatially agglomerated tourism city for weekend and midweek stays

2019 ◽  
Vol 25 (8) ◽  
pp. 1245-1264 ◽  
Author(s):  
Ibrahim Mohammed ◽  
Basak Denizci Guillet ◽  
Rob Law
Keyword(s):  
Spatial Competition ◽  
Price Dispersion ◽  
Hotel Industry ◽  
Spatial Models ◽  
Spatial Econometric ◽  
Spatial Agglomeration ◽  
Econometric Methods ◽  
Dynamic Price ◽  
Online Pricing ◽  
Dynamic Price Dispersion

In spite of the abundant evidence suggesting the existence of spatial agglomeration in the hotel industry and the potential for spatial econometric methods to contribute to the understanding on the effect of spatial competition on room pricing, limited research has been conducted in this regard. To contribute to this area of research, this study applied spatial models to examine online pricing data of hotels in Hong Kong to determine the effect of spatial agglomeration on dynamic or intertemporal price dispersion. The findings revealed that the magnitude of dynamic price dispersion is not only influenced by demand but also the pricing of neighboring hotels and hotel-specific attributes, such as number of rooms, star rating, chain affiliation, and scale. A major implication of this finding is that real-time tracking and analysis of neighboring hotels’ prices could be an effective strategy to stay competitive in a spatially agglomerated environment.

Methods of spatial econometrics and evaluation of government programs effectiveness

2021 ◽  
Vol 64 (4) ◽  
pp. 107-134
Author(s):  
Olga Demidova ◽  
Keyword(s):  
Spatial Econometrics ◽  
Econometric Models ◽  
Government Programs ◽  
Spatial Econometric ◽  
Promising Direction ◽  
Econometric Methods ◽  
Spatial Econometric Models

The article provides an overview of the main spatial-econometric models and notes the shortcomings that limit their application to the description of the processes taking place in large heterogeneous countries, such as Russia. The main approaches and modifications of the models are given, which make it possible to take into account Russian conditions, and a brief description of the basic articles is given in which spatial-econometric toolkit is applied to Russian data. A very promising direction in the development of spatial-econometric methods is the improvement of methods for assessing of government programs, therefore, the article describes the main approaches how to do this.

Beyond Policy Diffusion: Spatial Econometric Models of Public Administration

2018 ◽  
Vol 29 (4) ◽  
pp. 591-608 ◽  
Author(s):  
Scott J Cook ◽  
Seung-Ho An ◽  
Nathan Favero
Keyword(s):  
Public Administration ◽  
Spatial Models ◽  
State Level ◽  
Cross Sectional Study ◽  
Econometric Models ◽  
Education Spending ◽  
Spatial Econometric ◽  
Cross Sectional ◽  
Econometric Methods ◽  
Spatial Econometric Models

Abstract Interdependence in the decision-making or behaviors of various organizations and administrators is often neglected in the study of public administration. Failing to account for such interdependence risks an incomplete understanding of the choices made by these actors and agencies. As such, we show how researchers analyzing cross-sectional or time-series-cross-sectional (TSCS) data can utilize spatial econometric methods to improve inference on existing questions and, more interestingly, engage a new set of theoretical questions. Specifically, we articulate several general mechanisms for spatial dependence that are likely to appear in research on public administration (isomorphism, competition, benchmarking, and common exposure). We then demonstrate how these mechanisms can be tested using spatial econometric models in two applications: first, a cross-sectional study of district-level bilingual education spending and, second, a TSCS analysis on state-level healthcare administration. In our presentation, we also briefly discuss many of the practical challenges confronted in estimating spatial models (e.g., weights specification, model selection, effects calculation) and offer some guidance on each.

scholarly journals Taking the Fight to Them: Neighborhood Human Rights Organizations and Domestic Protest

2013 ◽  
Vol 44 (4) ◽  
pp. 853-875 ◽  
Author(s):  
Sam R. Bell ◽  
Tavishi Bhasin ◽  
K. Chad Clay ◽  
Amanda Murdie
Keyword(s):  
Human Rights ◽  
Political Protest ◽  
Spatial Econometric ◽  
Political Processes ◽  
Governmental Organizations ◽  
Econometric Methods ◽  
Human Rights Organizations ◽  
Non Governmental Organizations ◽  
Neighbor Effect

This article examines how human rights international non-governmental organizations (hereafter HROs) can increase the level of political protest in neighboring states. Previous research suggests local activities of HROs help to generate mobilization for protests against governments. This article shows that the presence of HROs in neighboring states can be a substitute for domestic HROs; if domestic HROs are already flourishing, there will be less of a ‘neighbor’ effect. At sufficiently high levels of domestic HRO prevalence within a state, neighboring HROs help domestic HROs use institutionalized substitutes for protest mobilization strategies. Spatial econometric methods are used to test the implications of this theory. These results illuminate the role that non-governmental organizations play in these domestic political processes, and demonstrate the transnational nature of their activities.

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