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Robust Two-Stage Estimation in General Spatial Dynamic Panel Data Models
This paper proposes a robust two-stage estimation procedure for a general spatial dynamic panel data model in light of the two-stage estimation...
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Impact of COVID-19 on financial returns: a spatial dynamic panel data model with random effects
Using a dataset including financial market returns and volatility proxies for several countries, we analyzed the impact of Covid-19 deaths on the...
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Spatial Dynamic Panel Model: An Application to Environmental Violations in Brazil
This chapter presents a review of the Spatial Econometrics literature, which deals with interactions of economic units in space, traditionally using...
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Observed-data DIC for spatial panel data models
In spatial panel data modeling, researchers often need to choose a spatial weights matrix from a pool of candidates, and decide between static and...
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Estimating dynamic spatial panel data models with endogenous regressors using synthetic instruments
The paper applies synthetic instruments, initially developed for cross-sectional regression, to estimate dynamic spatial panel data models. These...
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Panel Data
Panel data, also known as cross-sectional time series data, is a type of data that combines both cross-sectional and time series dimensions. In...
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Crime under-reporting in Bogotá: a spatial panel model with fixed effects
We examine spatial spillovers in violent crime and its under-reporting in Bogotá, Colombia, using a cuadrante (quadrant) level data. To model spatial...
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Empirical likelihood for spatial dynamic panel data models
Spatial dynamic panel data (SDPD) models have received great attention in economics in recent 10 years. Existing approaches for the estimation and...
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Spatial panel count data: modeling and forecasting of urban crimes
The steadily growing access to high-quality spatio-temporal crime count data with a high level of spatial detail allows to uncover interesting...
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The spatiotemporal dynamic and spatial spillover effect of green finance efficiency in China: analysis based on super-SBM model and spatial Durbin model
Green finance is a key institutional framework supporting China’s newly publicized “Ecological Civilization Construction” initiative, and studies...
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The convergence of energy intensity in develo** countries: a spatial econometric analysis with Indonesia’s provincial panel data
Energy intensity convergence can be used to assess the effectiveness of policies in reducing energy intensity. This study analyzes the energy...
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A Dynamic Occupancy Model for Interacting Species with Two Spatial Scales
Occupancy models have been extended to account for either multiple spatial scales or species interactions in a dynamic setting. However, as...
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Direct and indirect determinants of COVID-19 outbreak in Australia: a spatial panel data analysis
An outbreak of Coronavirus Disease 2019 (COVID-19) was experienced all around the world. Identifying the spatial prevalence of this disease can lead...
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Dynamic clustering of spatial–temporal rainfall and temperature data over multi-sites in Yemen using multivariate functional approach
Analyzing Multivariate Functional Data (MFD) presents growing challenges in the context of climate change modeling due to many issues, such as coarse...
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Does digital economy affect the quantity and efficiency of carbon emissions: evidence from dynamic spatial Durbin model analysis
The digital economy development has the potential to contribute significantly to reducing carbon emissions and improving emission efficiency....
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Bayesian spatial panel models: a flexible Kronecker error component approach
We introduce a class of spatial panel data models with correlated error components that can simultaneously handle cross-sectional and temporal...
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Spatial effects of tourism development on economic resilience: an empirical study of Wenchuan earthquake based on dynamic spatial Durbin model
This study highlights the importance of the effects of spatial tourism. Using panel data of 135 Wenchuan earthquake-affected counties from 2008 to...
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Panel Count Data Models: Examining Dengue Incidence in Malaysia
Understanding the discrete non-negative nature of count data is important for econometricians to model panel count data type. Panel count data is one...
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Wave after wave: determining the temporal lag in Covid-19 infections and deaths using spatial panel data from Germany
The Covid-19 pandemic requires a continuous evaluation of whether current policies and measures taken are sufficient to protect vulnerable...
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Modelling Housing Using Multi-dimensional Panel Data
This chapter surveys housing models using multi-dimensional panels. While there is a vast literature on housing models using two-dimensional panel...