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error models – to correct for misspecification due to neglected spatial autocorrelation in the data set. Our empirical …
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error models - to correct for misspecification due to neglected spatial autocorrelation in the data set. Our empirical …
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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 …
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models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment …
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, referring to both heterogeneity and interdependence of phenomena occurring in two-dimensional space. Spatial autocorrelation or …
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This discussion paper led to an article in <I>Growth and Change</I> (2014). Volume 45, issue 2, pages 240-262.<P> This paper employs Vector Autoregression (VAR) models to measure the impact of monetary policy shocks on regional output in Indonesia. Having incorporated a possible structural break following...</p></i>
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