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...

This study analyses the critical role of core infrastructure in the regional development of Pakistan. The Dynamic Fixed-Effect Spatial Durbin Model has been used for the provincial data during 1991 to 2020. The spatial dependence parameter is positive and statistically highly significant,...

In spatio-temporal epidemiological analysis, it is of critical importance to identify the significant covariates and estimate the associated time-varying effects on the health outcome. Due to the heterogeneity of spatio-temporal data, the subsets of important covariates may vary across space and...

In this paper, we introduce the concept of fractional integration for spatial autoregressive models. We show that the range of the dependence can be spatially extended or diminished by introducing a further fractional integration parameter to spatial autoregressive moving average models (SARMA)....

We propose a model of sequential spatial search with learning. There is a mapping from a space of technologies (or products) to qualities that is unknown to the searcher. The searcher can learn various points on this mapping through costly experimentation. She cares both about the technology...

We extend LeSage and Pace's (2008) spatial autoregressive model for origin-destination flows by accommodating two-way fixed effects. Those fixed effects represent unobserved characteristics of origin and destination units. A partial likelihood approach is used to remove fixed effects in the...

How likely is financial contagion when banks anticipate an aggregate liquidity shock and what are the consequences for bank choices, welfare, and regulation? We study an economy with two regional banks that insure risk-averse consumers against their idiosyncratic liquidity shocks and hold...

In order to allocate resources and formulate policies effectively, governments and enterprises often need accurate geographical information on profit-seeking enterprises. This study explores the impact of local fiscal expenditure and environmental regulation on the number of profit-seeking...

This paper studies how the strength of social ties are affected by the geographical location of other individuals and their social capital. We characterize the equilibrium in terms of both social interactions and social capital. We show that lower travel costs increase not only the interaction...

Cross-border, transnational regional development in the Rhine-Alpine EU transport corridor represents an ongoing challenge. With 18 partners from five countries, the Rhine-Neckar regional association (Verband Region Rhein-Neckar, VRRN) therefore initiated an EU-funded project along the corridor...

This paper aims analysis spatial interaction of Romanian Cities from 1948 until 2021 trying to perceive if along seven decades of quite different political regimes – from Central Planning to Market Interaction– there have been changes in the features of spatial interaction. The analysis...

We re-examine the Systemic Cycles of Accumulation (SCA) of Arrighi (2010) and Arrighi and Silver (1999) which provide a framework for the analysis of the cyclical patterns of geographical expansion of trade and production and the related shifts of hegemonic power within the world capitalist...

Recent theoretical approaches stress the importance of complex integration strategies of multinationals and the interdependence between locations. Up till now little has been done to incorporate the potential cross-country dependencies into the empirical analysis of the determinants and the...

In this article we propose two-step generalized method of moment (GMM) procedure for a Spatial Binary Probit Model. In particular, we propose a series of two-step estimators based on different choices of the weighting matrix for the moments conditions in the first step, and different estimators...

This paper studies how the strength of social ties are affected by the geographical location of other individuals and their social capital. We characterize the equilibrium in terms of both social interactions and social capital. We show that lower travel costs increase not only the interaction...

This paper brings forward a novel Bayesian estimation and model selection method for spatial dynamic panel data model with convex combinations of different spatial weight matrices. We reparameterize the model as a high order spatial panel model, and recover the importance weights by a...

When there are efficiency spillovers, we can use a spatial autoregressive stochastic frontier model to estimate total (spillover-corrected) efficiencies. Glass et al. (2016) ( Journal of Econometrics ) provide a formula for total efficiency in this context, which is an approximation. We provide...

Finding a suitable weight matrix in spatial GARCH models is a challenge when the actual locations are not known. Thus, we introduce an estimation procedure for spatial GARCH models when the locations are unknown. We suggest to use balance sheet data of companies as proxy for the spatial distance...

The present paper examines the effect of entrepreneurship capital and spatial productivity spillovers on Greek regional labour productivity during Greek financial crisis. A spatial autoregressive (SAR) dynamic panel data model using the robust Blundell and Bond GMM estimator suggests that...

We consider estimation and inferences for fixed effects spatial panel data models based on unbalanced panels that arise from nonparticipation or inaction of some spatial units in certain time periods. The unbalanced nature of the panel data renders the standard transformation method of...

The real estate prices in urban China have been soaring sharply since the commercialization reform of the housing market in 1998, but have suffered from downward pressure recently. In addition to the peculiarities of the state-owned land system, newly built houses dominate market across the vast...

This paper develops a nonlinear spatial dynamic panel data model, with one particularly interesting application to a structural interaction model for share data. To account for effects from popular units, the spatial weights matrices in our model can allow for dominant units, with unbounded...

This paper proposes a new spatial lag regression model which addresses global spatial autocorrelation arising from cross-sectional dependence between counts. Our approach offers an intuitive interpretation of the spatial correlation parameter as a measurement of the impact of neighbouring...