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Spatial Lag (spatial + lag)
Selected AbstractsHuman capital spillovers, productivity and regional convergence in SpainPAPERS IN REGIONAL SCIENCE, Issue 2 2010Raul Ramos Regional convergence; productivity; human capital composition; geographical spillovers Abstract This paper analyses the differential impact of human capital, in terms of different levels of schooling, on regional productivity and convergence. The potential existence of geographical spillovers of human capital is also considered by applying spatial panel data techniques. The empirical analysis of Spanish provinces between 1980 and 2007 confirms the positive impact of human capital on regional productivity and convergence, but reveals no evidence of any positive geographical spillovers of human capital. In fact, in some specifications the spatial lag presented by tertiary studies has a negative effect on the variables under consideration. Abstract Este artículo analiza el impacto diferencial del capital humano, en términos de niveles diferentes de escolaridad, sobre la productividad regional y la convergencia. Se tiene en cuenta también la existencia potencial de spillovers geográficos de capital humano, mediante la aplicación de técnicas de datos de panel espaciales. El análisis empírico de las provincias españolas entre 1980 y 2007 confirma el impacto positivo del capital humano en la productividad regional y la convergencia, pero muestra una falta de pruebas de la existencia de cualquier tipo de spillover geográfico de capital humano. De hecho, el intervalo espacial que presentan los estudios de tercer grado tiene en ciertas especificaciones un efecto negativo en las variables consideradas. [source] A cross-sectional analysis of residential property prices: the effects of income, commuting, schooling, the housing stock and spatial interaction in the English regions,PAPERS IN REGIONAL SCIENCE, Issue 3 2006Bernard Fingleton Housing supply and markets; cross-sectional models; spatial econometric models Abstract., This article examines the distribution of residential property prices in 2001 across local areas in England using spatial econometric methods, showing that spatial variations in local income, income within commuting distance, the stock of residential properties and the quality of local schooling have significant effects. The residual spatial variation due to unknown factors is modelled by a proxy variable, but this does not rule out a significant spatial lag. The article argues that this represents endogenous interaction of property price levels between neighbouring areas, which is interpreted as the outcome of local market knowledge and preference, which produces greater price similarity between an area and its neighbours than one would anticipate from the levels of the exogenous price determinants. [source] Suicide and Alcohol: Do Outlets Play a Role?ALCOHOLISM, Issue 12 2009Fred W. Johnson Background:, The purpose of this study was to determine whether the number of alcohol outlets in local and adjacent areas, in particular bars, was related over time to completed suicide and suicide attempts. There is evidence both from studies of individuals and time series aggregate studies, mostly at the national level, of substantial alcohol involvement in suicide, but no small-area, longitudinal studies have been carried out. The present study is the first that is both longitudinal and based on a large number of small spatial units, California zip codes, a level of resolution permitting analysis of the relationship between local alcohol access and suicide rates over time. Method:, Longitudinal data were obtained from 581 consistently defined zip code areas over 6 years (1995,2000) using data from the California Index Locations Database, a geographic information system that contains both population and place information with spatial attributes for the entire state. Measures obtained from each zip code included population characteristics (e.g., median age) and place characteristics (e.g., numbers of retail and alcohol outlets) which were related in separate analyses to (i) suicide mortality and (ii) the number of hospitalizations for injuries caused by suicide attempts. The effect of place characteristics in zip code areas adjacent to each of the 581 local zip codes (spatial lags) was also assessed. Analysis methods were random effects models corrected for spatial autocorrelation. Results:, Completed suicide rates were higher in zip code areas with greater local and lagged bar densities; and higher in areas with greater local but not lagged off-premise outlet densities. Whereas completed suicide rates were lower among blacks and Hispanics, completed suicide rates were higher among low income, older whites living in less densely populated areas, that is, rural areas. Rates of suicide attempts were higher in zip code areas with greater local but not lagged bar densities, and higher among low income younger whites living in smaller households and in rural areas. Rates of attempted suicide were also higher among blacks. Completed suicide and suicide attempt rates were lower in zip code areas with greater local restaurant densities; there were no lagged effects for restaurants. Conclusions:, Bar densities in particular appear related to suicide, meaning, because this is an aggregate-level spatial analysis, that suicides, both attempted and completed, occur at greater rates in rural community areas with greater bar densities. Because the suicide rate is highest in rural areas, this study suggests that although the number of completed and attempted suicides is no doubt greater in absolute numbers in urban areas, the suicide rate, both completed and attempted, is greater in rural areas, which draws attention, perhaps much needed, to the problems of rural America. [source] A SPATIAL CLIFF-ORD-TYPE MODEL WITH HETEROSKEDASTIC INNOVATIONS: SMALL AND LARGE SAMPLE RESULTS,JOURNAL OF REGIONAL SCIENCE, Issue 2 2010Irani Arraiz ABSTRACT In this paper, we specify a linear Cliff-and-Ord-type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the disturbance process are assumed to be heteroskedastic with an unknown form. We formulate multistep GMM/IV-type estimation procedures for the parameters of the model. We also give the limiting distributions for our suggested estimators and consistent estimators for their asymptotic variance-covariance matrices. We conduct a Monte Carlo study to show that the derived large-sample distribution provides a good approximation to the actual small-sample distribution of our estimators. [source] | ||||||||||