scholarly journals A Review of Software for Spatial Econometrics in R

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1276
Author(s):  
Roger Bivand ◽  
Giovanni Millo ◽  
Gianfranco Piras
Keyword(s):  
Maximum Likelihood ◽  
Spatial Econometrics ◽  
Historical Perspective ◽  
Statistical Computing ◽  
Spatial Econometric ◽  
Cross Sectional ◽  
Panel Models ◽  
Econometric Software ◽  
Generalized Moments

The software for spatial econometrics available in the R system for statistical computing is reviewed. The methods are illustrated in a historical perspective, highlighting the main lines of development and employing historically relevant datasets in the examples. Estimators and tests for spatial cross-sectional and panel models based either on maximum likelihood or on generalized moments methods are presented. The paper is concluded reviewing some current active lines of research in spatial econometric software methods.

Fiscal Decentralization and Local Borrowing in Turkish Provinces

2016 ◽  
pp. 505-519
Author(s):  
Mehmet Serkan Tosun ◽  
Dilek Uz ◽  
Serdar Yılmaz
Keyword(s):  
Local Government ◽  
Spatial Econometrics ◽  
Local Governments ◽  
Fiscal Decentralization ◽  
Cross Sectional ◽  
Turkish Republic ◽  
Government Structure ◽  
History Of ◽  
The Government ◽  
Government Reforms

There have been important developments in the decentralization of the government structure in Turkey since the early 1980s. This paper examines the link between fiscal decentralization and local borrowing within Turkish provinces. It first discusses local government reforms throughout the history of the Turkish Republic with the focus on recent reform efforts and current local government structure. It then provides an empirical analysis of the effects of decentralization in Turkish provinces using cross-sectional and panel data approaches, and spatial econometrics. The dataset consists of 67 provinces from 1980 to 2000, and separately cross-sectional data on all 81 provinces for the year 2000. Using decentralization measures such as number of local governments per capita and ratio of own-source municipal revenue to total provincial tax revenue, and specific characteristics of the municipalities the analysis examines whether variations in local decentralization across these provinces and across time have had a significant impact municipal borrowing in those provinces.

scholarly journals The Time-Spatial Dimension of Eurozone Banking Systemic Risk

Risks ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 75 ◽  
Author(s):  
Matteo Foglia ◽  
Eliana Angelini
Keyword(s):  
Spatial Econometrics ◽  
Systemic Risk ◽  
Spatial Dependence ◽  
Financial Stability ◽  
Risk Measure ◽  
Spatial Dimension ◽  
Time Dimension ◽  
Cross Sectional ◽  
Time Space ◽  
Contagion Risk

In this paper, we measure the systemic risk with a novel methodology, based on a “spatial-temporal” approach. We propose a new bank systemic risk measure to consider the two components of systemic risk: cross-sectional and time dimension. The aim is to highlight the “time-space dynamics” of contagion, i.e., if the CDS spread of bank i depends on the CDS spread of other banks. To do this, we use an advanced spatial econometrics design with a time-varying spatial dependence that can be interpreted as an index of the degree of cross-sectional spillovers. The findings highlight that the Eurozone banks have strong spatial dependence in the evolution of CDS spread, namely the contagion effect is present and persistent. Moreover, we analyse the role of the European Central Bank in managing contagion risk. We find that monetary policy has been effective in reducing systemic risk. However, the results show that systemic risk does not imply a policy intervention, highlighting how financial stability policy is not yet an objective.

scholarly journals Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data

2019 ◽  
Vol 16 (16) ◽  
pp. 2871 ◽  
Author(s):  
Shi Wang ◽  
Yizhou Yuan ◽  
Hua Wang
Keyword(s):  
Panel Data ◽  
Environmental Pollution ◽  
Environmental Quality ◽  
Spatial Econometrics ◽  
Interaction Effect ◽  
Spatial Econometric ◽  
Hidden Economy ◽  
Pollutant Discharge ◽  
And Control ◽  
The Impact

Previous studies show that the environmental quality is significantly influenced by corruption and the hidden economy separately. However, what is the impact of their interaction effect on environmental quality? Based on Multiple Indicators Multiple Causes (MIMIC) model, this study calculates the scale of hidden economy in Chinese provinces firstly. Then, we apply the method of spatial econometrics to analyze the interaction effect of corruption and the hidden economy on environmental pollution with China’s provincial panel data from 1998 to 2017. The results indicate that the interaction effect between corruption and hidden economy significantly increases pollutant discharge, suggesting that both anti-corruption and control of the hidden economy may improve environmental quality directly and indirectly.

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 Corrigendum

2018 ◽  
Vol 4 ◽  
pp. 237802311875450
Keyword(s):  
Maximum Likelihood ◽  
Fixed Effects ◽  
The Other ◽  
Sociological Research ◽  
Panel Models ◽  
The Right

Allison, Paul D., Richard Williams, and Enrique Moral-Benito. 2017. “Maximum Likelihood for Cross-lagged Panel Models with Fixed Effects.” Socius: Sociological Research for a Dynamic World 3:1–17. (Original DOI: 10.1177/2378023117710578) In this article, there is an error in the R code shown on pp. 15–16, such that the code displayed there produces noticeably different results from those of the other three packages. The authors have prepared a revised R code that does produce the right results, and have included it below as well as online at https://www3.nd.edu/~rwilliam/dynamic/lav_Socius.R .

A Biparametric Approach to Spatial Autocorrelation

1979 ◽  
Vol 11 (1) ◽  
pp. 51-58 ◽  
Author(s):  
A S Brandsma ◽  
R H Ketellapper
Keyword(s):  
Maximum Likelihood ◽  
Spatial Autocorrelation ◽  
Likelihood Ratio Test ◽  
Econometric Models ◽  
Ratio Test ◽  
Spatial Econometric ◽  
Maximum Likelihood Approach ◽  
Spatial Econometric Models ◽  
Likelihood Approach ◽  
Error Terms

In spatial econometric models, autocorrelation among error terms is usually incorporated by means of the so-called contiguity matrix W, determining the interdependence between the spatial observations on the dependent variable. In this paper, the analysis is generalized by introducing two contiguity matrices, related to two autocorrelation parameters. This may be useful when dealing with variables representing flows between regions, where both the origin and the destination regions have a different impact on the autocorrelation scheme. It is shown analytically and illustrated empirically that the presence of such autocorrelation can be tested with the likelihood-ratio test, whereas the parameters can be estimated by the maximum-likelihood approach.

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