4.2 Editorial Material

Raising the bar (20)

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Non-spatial and spatial econometric analysis of tourism demand in a panel of countries around the world

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Summary: Spatial and non-spatial data econometric models were used to analyze a panel of 43 countries from 2006 to 2016, finding that political stability and human development indices impact tourist arrivals, and that tourist arrivals in neighboring countries positively impact those in a given country.

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Unveiling spatial and temporal patterns of second home dynamics: a Bayesian spatiotemporal analysis for a Mediterranean island

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Summary: This study applied spatial models to analyze the incidence rate of second homes in Corsica, France, and found a gradual increase in the incidence rate over the study period.

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A spatial multinomial logit model for analysing urban expansion

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Summary: The study introduces a Bayesian multinomial logit model for analyzing spatial patterns of urban expansion and showcases its performance using European regional data. The results indicate that spatial dependence plays a key role in the land-sealing process.

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Article Economics

Geography and embeddedness in city networks

Jose Miguel Navarro-Azorin et al.

Summary: This study assesses the empirical relevance of geography in driving the position of nodes within a city network. By analyzing municipal data from Spain, it is found that network ties between municipalities explain about a third of network centrality, beyond those directly related to geographical proximity.

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Article Economics

Application of machine-learning models to estimate regional input coefficients and multipliers

Amir Hossein Pakizeh et al.

Summary: This study introduces a novel method using machine learning algorithms to estimate regional input coefficients by utilizing IOTs from multiple other regions. Results from data in Japan suggest the superior performance of ML models compared to location quotient models.

SPATIAL ECONOMIC ANALYSIS (2022)

Article Economics

Store sales evaluation and prediction using spatial panel data models of sales components

Auke Hunneman et al.

Summary: This paper presents a framework for store sales evaluation and prediction by decomposing sales into different components and explaining them using various models. The framework significantly reduces prediction errors for existing and new stores compared to a benchmark model.

SPATIAL ECONOMIC ANALYSIS (2022)

Article Economics

A simple test for stability of a spatial model

Harry Kelejian et al.

Summary: This paper suggests a simple test to check if a spatial model is stable for the entire sample period, allowing for unknown changes and additional endogenous regressors, but does not indicate the cause of instability.

SPATIAL ECONOMIC ANALYSIS (2022)

Article Economics

Machine-learning models for bankruptcy prediction: do industrial variables matter?

Daniela Bragoli et al.

Summary: This study provides a predictive model specifically for the Italian economy, using the AIDA Bureau van Dijk dataset from 2007-15. XGBoost was found to be the best performer, and industrial/regional variables were found to be important factors affecting bankruptcy probability. This research highlights the significance of including both financial ratios and industrial/regional variables in bankruptcy forecasting models.

SPATIAL ECONOMIC ANALYSIS (2022)

Article Economics

Construction of multiregion-multisector input-output tables: a spatial econometric approach for Poland

Andrzej Toroj

Summary: This paper explores the use of spatial econometrics in estimating interregional flow matrix in multisector-multiregion input-output tables, presenting a non-survey method with missing parameters estimated through maximum likelihood. The method is empirically demonstrated in economic impact assessment simulations for Poland, showing promising performance that can be widely replicated across countries.

SPATIAL ECONOMIC ANALYSIS (2021)

Article Economics

The effect of agglomeration economies and geography on the survival of accommodation businesses in Sicily

Davide Piacentino et al.

Summary: The study focuses on the geographical pattern of the accommodation industry in Sicily, and examines the determinants of market exit risk. It finds that distance from the coast plays a significant role, with accommodation firms over 2 km away facing higher risk of failure.

SPATIAL ECONOMIC ANALYSIS (2021)

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Population distribution over time: modelling local spatial dependence with a CAR process

Ilenia Epifani et al.

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Global Airline Networks: Comparative Nodal Access Measures

Morton E. O'Kelly

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Node centrality in weighted networks: Generalizing degree and shortest paths

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Testing the hypothesis of stability in spatial econometric models

Jesus Mur et al.

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Symptoms of instability in models of spatial dependence

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