Trends in Spatial Statistics and Spatial Econometrics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 423
Special Issue Editor
Interests: spatial and spatio-temporal modelling; estimation methods; simultaneous equation models; limited dependent variables; forecasting; computational statistics
Special Issue Information
Dear Colleagues,
With over fifty years’ worth of contributions to the literature, spatial econometrics is now recognized as a consolidated discipline worldwide. From a theoretical point of view, this field has, for instance, provided information on frequentist and Bayesian estimation techniques to consistently estimate parameters of interest in the presence of spatial dependence. From an empirical point of view, these methods have been used to study several economic phenomena. This Special Issue aims to collect high-quality research papers that contribute to the development of spatial econometrics. Theoretical and applied studies in spatial econometrics can be submitted. We invite authors to submit original research articles as well as review articles in areas of interest, including but not limited to the following: spatial dependence, static and dynamic spatial panel data modeling, time-varying spatial marginal effects, spatial nonlinear modeling, spatial weighting matrix, spatial microeconometrics, resampling methods under spatial dependence, hypothesis tests under spatial dependence, forecasting with spatio-temporal data, spatial factor models, Bayesian methods under spatial dependence, financial spatial econometrics, and endogeneity issues in spatial econometrics.
Dr. Anna Gloria Billé
Guest Editor
Manuscript Submission Information
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Keywords
- spatial dependence
- static and dynamic spatial panel data modeling
- time-varying spatial marginal effects
- spatial nonlinear modeling
- spatial weighting matrix
- spatial microeconometrics
- resampling methods under spatial dependence
- hypothesis tests under spatial dependence
- forecasting with spatio-temporal data
- spatial factor models
- bayesian methods under spatial dependence
- financial spatial econometrics
- endogeneity issues in spatial econometrics
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