This paper studies tax policy interaction among local governments for both mobile and immobile tax bases. We exploit exogenous changes in the local tax setting of German municipalities due to participation in state debt reduction programs to learn about the size, scope and nature of strategic...

We introduce a new time-varying parameter spatial matrix autoregressive model that integrates matrix-valued time series, heterogeneous spillover effects, outlier robustness, and time-varying parameters in one unified framework. The model allows for separate dynamic spatial spillover effects...

We investigate how strongly the local environment beyond the family can contribute to understanding the formation of children's economic preferences. Building on precise geolocation data for around 6000 children, we use fixed effects, spatial autoregressive models and Kriging to capture the...

We investigate how strongly the local environment beyond the family can contribute to understanding the formation of children's economic preferences. Building on precise geolocation data for around 6.000 children, we use fixed effects, spatial autoregressive models and Kriging to capture the...

We investigate how strongly the local environment beyond the family can contribute to understanding the formation of children's economic preferences. Building on precise geolocation data for around 6.000 children, we use fixed effects, spatial autoregressive models and Kriging to capture the...

This study investigates the role of savings as a channel for the second demographic dividend in minimum comparable areas (MCA) in Brazil between 2000 and 2010. Using spatial econometric models, the research analyzed the effects of per capita savings, education, and labor force participation on...

We estimate the Phillips Curve using panel data to infer the slope of the aggregate Phillips Curve for Spain. In recent years, inflation has become a puzzle for economists and monetary authorities and academic research has been more active suggesting many possible explanations to the inflation...

The impact of current changes in technology, society, and the environment demand innovative research approaches that can accurately capture the increasing complexity of modern geographic data. To this end, this article provides an introduction to the use and implementation of spatial network...

This article provides a comprehensive analysis of how regional changes in the age and education distribution of the labour force affect local and neighbourhood unemployment rates. Based on theoretical considerations, we argue that differences in job search, separation, and commuting are key...

Recent studies harnessing geospatial big data and machine learning have significantly advanced poverty mapping, enabling granular and timely welfare estimates in traditionally datascarce regions. While much of the existing research has focused on overall out-of-sample predictive performance,...

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...

Spatially resolved modelling of local hydrogen ecosystems can help to identify optimal sizing and locations for plants and infrastructure along the value chain. Spatial clustering to identify the subregions can lead to a better representation of important features compared to administrative...

This paper examines the extent of stock-returns' co-movements among firms in different countries and explores how various measures of closeness affect those co-movements by estimating a spatial autoregressive (SAR) convex combination model that merges four weight matrices-geographical distance,...

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...

We investigate how strongly the local environment beyond the family can contribute to understanding the formation of children's economic preferences. Building on precise geolocation data for around 6000 children, we use fixed effects, spatial autoregressive models and Kriging to capture the...

Concerns have been raised regarding the equity and efficiency of Chinese healthcare systems, where improved transportation is expected to be a significant factor. The positive externalities of transport have been confirmed in many domains, but there is a lack of evidence in the field of...

Research background: The unadjusted gender pay gap (GPG) is one of the indicators that measure progress towards SDG5. There is considerable variability in the values of this indicator among the individual countries and regions of the EU. However, due to the effects resulting from the...

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...