error models – to correct for misspecification due to neglected spatial autocorrelation in the data set. Our empirical … spatial structure that is required for the estimation of spatial models improves the forecasting performance of non …

as employment, requires an understanding of spatial (or spatio-temporal) autocorrelation effects associated with a … deal with the analysis of and accounting for spatial autocorrelation by means of spatial filtering t! echniques for data …

models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment …

error models - to correct for misspecification due to neglected spatial autocorrelation in the data set. Our empirical … spatial structure that is required for the estimation of spatial models improves the forecasting performance of non …

with other regions. These hypotheses are confirmed by means of an estimation of wage curves with data for 327 regions of …