Showing 1 - 10 of 126
models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment …
Persistent link: https://www.econbiz.de/10011372985
Existing indices measuring the spatial distribution of economic activity such as the Krugman Specialisation Index, the Hirschmann-Herfindahl index and the Ellison-Glaeser index typically do not take into account the spatial structure of the data. In this paper, we first consider traditional...
Persistent link: https://www.econbiz.de/10011373826
error models – to correct for misspecification due to neglected spatial autocorrelation in the data set. Our empirical …
Persistent link: https://www.econbiz.de/10011343272
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 …
Persistent link: https://www.econbiz.de/10011349204
In this paper we employ techniques developed in spatial econometrics to analyse spatial patterns of technology diffusion, to detect clusters and to estimate theoretical models that incorporate space explicitly. These techniques correct for misspecifications resulting from the omission of spatial...
Persistent link: https://www.econbiz.de/10011335193
Persistent link: https://www.econbiz.de/10000961566
Persistent link: https://www.econbiz.de/10000151697
Persistent link: https://www.econbiz.de/10000122459
Persistent link: https://www.econbiz.de/10009230368
We introduce a new estimation framework which extends the Generalized Method of Moments (GMM) to settings where a subset of the parameters vary over time with unknown dynamics. To filter out the dynamic path of the time-varying parameter, we approximate the dynamics by an autoregressive process...
Persistent link: https://www.econbiz.de/10011431471