This study tests for strategic competition in public spending on childcare and primary education, and care for the elderly, using panel data on Swedish municipalities over 1996-2005. The high degree of decentralization in the organization of the public sector implies that Swedish data is highly...

This paper reconsiders the multi-country Schumpeterian growth model and its empirical implications. We first show that the model implies a spatial econometric reduced form. Indeed, the global interdependance implied by international R&D spillovers needs to be taken into account in the...

Historical resources provide public good amenities. Often the costs of preservation of historic resources fall to individuals while the public benefits of preservation are poorly understood and not quantified. In this paper we examine the impact of historical and cultural amenities on...

Economic valuation of biodiversity is generally carried out by applying revealed or stated preference approaches to determine people’s willingness to pay for small changes in management options. Studies on species preservation investigating passive or nonuse values typically rely on stated...

In transportation studies, variables of interest are often influenced by similar factors and have correlated latent terms (errors). In such cases, a seemingly unrelated regression (SUR) model is normally used. However, most studies ignore the potential temporal and spatial autocorrelations...

We propose a quantity-based "dual" version of the gravity equation that yields an estimating equation with both cross-sectional interdependence and spatially lagged error terms. Such an equation can be concisely estimated using spatial econometric techniques. We illustrate this methodology by...

Problems of spatial segregation are often associated with segmented housing submarkets where the social status and social capital of a neighborhood appear to be the main driving forces behind housing price formation. Urban regeneration policies aim to raise housing values in poor areas through...

One problem with describing election vote shares using ordinary least squares (OLS) is that it ignores the possible presence of spatial error correlation, whereby the errors are correlated in a systematic manner over space. This omission can bias OLS standard errors. We examine the 2004...