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. Spatial econometrics focuses on the specification and estimation of regression models explicitly incorporating such spatial …, referring to both heterogeneity and interdependence of phenomena occurring in two-dimensional space. Spatial autocorrelation or …
Persistent link: https://www.econbiz.de/10011334352
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 …
Persistent link: https://www.econbiz.de/10011343272
geometric ergodicity of the model. Simulation results justify the use of limit theory in empirically relevant settings. The …
Persistent link: https://www.econbiz.de/10011658755
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
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
We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...
Persistent link: https://www.econbiz.de/10010391531
We consider treatment effect estimation via a difference-in-difference approach for data with local spatial interaction …
Persistent link: https://www.econbiz.de/10011301196
wide range of estimation procedures. A Monte Carlo study is conducted for time-varying parameter models such as generalized …
Persistent link: https://www.econbiz.de/10011295703
The empirical support for a real business cycle model with two technology shocks is evaluated using a Bayesian model averaging procedure. This procedure makes use of a finite mixture of many models within the class ofvector autoregressive (VAR) processes. The linear VAR model is extendedto...
Persistent link: https://www.econbiz.de/10011380727
availability and accessibility of sophisticated computational techniques. Among the class of nonlinear models chaos theory stands …
Persistent link: https://www.econbiz.de/10011299990