This paper analyzes the consequences of cross-border mergers in a spatial framework, thereby distinguishing three channels of influence: a price increase due to the elimination of product market competition, an adjustment in plant location which reduces overall transportation cost expenditures,...

This paper proposes a pair-wise approach to testing for output convergence that considers all N(N-1)/2 possible pairs of log per capita output gaps across N economies. A general probabilistic definition of output convergence is also proposed, which suggests that all such output gap pairs must be...

This paper provides an analysis of outsourcing and trade in a spatial model – la Hotelling. In this setting, we discuss the trade-off between transport-cost-related disadvantages and outsourcing-induced production cost advantages of a large economy. The model gives a rich picture of possible...

We incorporate the now standard knowledge-capital model of multinational firms in a new economic geography setting. The theoretical predictions of our model suggest that unskilled labor mobility leads to less concentration of production than skilled labor mobility does. This is in line with...

This paper undertakes a Monte Carlo study to compare MLE-based and GMM-based tests regarding the spatial autocorrelation coefficient of the error term in a Cliff and Ord type model. The main finding is that a Wald-test based on GMM estimation as derived by Kelejian and Prucha (2005a) performs...

This paper examines the impact of capital market integration (CMI) on higher education and economic growth. We take into account that participation in higher education is noncompulsory and depends on individual choice. Integration increases (decreases) the incentives to participate in higher...

This paper presents a generalized moments (GM) approach to estimating an R-th order spatial regressive process in a panel data error component model. We derive moment conditions to estimate the parameters of the higher order spatial regressive process and the optimal weighting matrix required to...

This paper generalizes the approach to estimating a first-order spatial autoregressive model with spatial autoregressive disturbances (SARAR(1,1)) in a cross-section with heteroskedastic innovations by Kelejian and Prucha (2008) to the case of spatial autoregressive models with spatial...