Spatial unit roots can lead to spurious regression results. We present a brief overview of the methods developed in Müller and Watson (2024) to test for and correct for spatial unit roots. We also introduce a suite of Stata commands (-spur-) implementing these techniques. Our commands exactly...

Spatial unit roots can lead to spurious regression results. We present a brief overview of the methods developed in Müller and Watson (2024) to test for and correct for spatial unit roots. We also introduce a suite of Stata commands (-spur-) implementing these techniques. Our commands exactly...

The article focuses on properties generalised to the multidimensional case of known coefficients of spatial correlation. The main result of the work is the decomposition of the introduced generalised autocorrelation coefficients into the sum of ordinary autocorrelation coefficients, but...

Spatial unit roots can lead to spurious regression results. We present a brief overview of the methods developed in Müller and Watson (2024) to test for and correct for spatial unit roots. We also introduce a suite of Stata commands (-spur-) implementing these techniques. Our commands exactly...

Spatial dynamic microsimulations have distinct potential to operate and project populations on finely detailed geographic level. For this, a detailed building and dwellings data set is typically needed, such that inner-region migration flows and local population developments may be modelled...

Spatial dynamic microsimulations have distinct potential to operate and project populations on finely detailed geographic level. For this, a detailed building and dwellings data set is typically needed, such that inner-region migration flows and local population developments may be modelled...

This paper considers a random search model where some locations provide sellers with better chances of meeting many buyers than other locations (for example popular shopping streets or the first page of a search engine). When sellers are heterogeneous in terms of the quality of their product...

This paper considers a random search model where some locations provide sellers with better chances of meeting many buyers than other locations (for example popular shopping streets or the first page of a search engine). When sellers are heterogeneous in terms of the quality of their product...

Ecotourism can contribute to the conservation of environmental values, as well as to the development of positive synergies between agents in the tourism sector, tourists and the local population. The growing interest in tourism offers with low environmental impact, which support the local...

Smuggling harms the economy and development of a country. Various statistical methods can be used to determine the geographical distribution of smuggling within a country. In this regard, clustering techniques (both classical and spatial analysis) have been used to present an overview of...

Improved land-use efficiency in agricultural production is crucial to meet increasing demand for agricultural commodities using the finite area of arable land worldwide. By applying a spatial autoregressive stochastic frontier methodology to county-level data spanning from 1980 to 2011, we...

Alcohol consumption among women in India is a complicated phenomenon driven by several determining variables and demonstrating clear regional patterns throughout the country. The study examines district-level disparities in women's alcohol prevalence (WAP) in India using recent NFHS-5 data from...

As the world's largest energy consumer, China seeks ways to optimize its energy structure. Using a sample of 30 Chinese provinces, this study develops an indicator system to measure provincial-level energy-structure optimization from 2004 to 2021. We also explore the spatial spillovers of green...

Regions and industries are not isolated islands; so, when evaluating productivity growth, regional and sectoral growth paths should not be expected to generate independently. Moreover, accounting for spatial interactions via econometric models has become normal practice; but modelling...

In this study, we use daily gold log-returns to analyse the quality of forecasting expected shortfalls (ES) using volatility and models based on the extreme value theory (EVT). ES forecasts were calculated for conditional APARCH models formed on the entire distribution of returns, as well as for...

Background It is a well-known phenomenon that nonlinearities that are inherent in the relationship among economic variables negatively affect the commonly used estimators in the econometric models. The nonlinearities cause an instability of the estimated parameters that, in particular, are...

We estimate the causal effect of partisan media on voter behavior by exploiting a natural experiment in which Sky News Australia - a conservative 24-hour news channel - became freely available to 8 million people. Using comprehensive national polling-station-level electoral data and broadcast...

This paper considers a random search model where some locations provide sellers with better chances of meeting many buyers than other locations (for example popular shopping streets or the first page of a search engine). When sellers are heterogeneous in terms of the quality of their product...