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spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics …. 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
The main purpose of the article is to consider a important issue of spatial econometrics which is a proper …
Persistent link: https://www.econbiz.de/10011997008
We consider treatment effect estimation via a difference-in-difference approach for data with local spatial interaction such that the outcome of observed units depends on their own treatment as well as on the treatment status of proximate neighbors. We show that under standard assumptions...
Persistent link: https://www.econbiz.de/10011301196
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
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
autoregressive models, a unique W exists, and the strength of influence of the variable (or autocorrelation) is expressed through … solution space. Since the coefficients of W are a measure of the autocorrelation, the model is a linear function of the …. Simultaneously, the model may exhibit negative autocorrelation at short distances, caused by substitution effects, and positive …
Persistent link: https://www.econbiz.de/10014173294
Spatial econometrics has recently been appraised in a theme issue of the Journal of Regional Science. Partridge et al …. Theory or the specific context of the empirical application should be the main guide for specifying a model. Especially the … econometrics. …
Persistent link: https://www.econbiz.de/10011581774
Bootstrapping methods have so far been rarely used to evaluate spatial data sets. Based on an extensive Monte Carlo study we find that also for spatial, cross-sectional data, the wild bootstrap test proposed by Davidson and Flachaire (2008) based on restricted residuals clearly outperforms...
Persistent link: https://www.econbiz.de/10010239512
The traditional approach to estimate spatial models bases on a preconceived spatial weights matrix to measure spatial interaction among locations. The a priori assumptions used to define this matrix are supposed to be in line with the "true" spatial relationships among the locations of the...
Persistent link: https://www.econbiz.de/10012172405
We consider treatment effect estimation via a difference-in-difference approach for data with local spatial interaction such that the outcome of observed units depends on their own treatment as well as on the treatment status of proximate neighbors. We show that under standard assumptions...
Persistent link: https://www.econbiz.de/10013018481