Spatial model selection and spatial knowledge spillovers: a regional view of Germany

Torben Klarl

No 10-005, ZEW Discussion Papers from ZEW - Leibniz Centre for European Economic Research

Abstract: The aim of this paper is to introduce a new model selection mechanism for cross sectional spatial models. This method is more flexible than the approach proposed by Florax et al. (2003) since it controls for spatial dependence as well as for spatial heterogeneity. In particular, Bayesian and Maximum-Likelihood (ML) estimation methods are employed for model selection. Furthermore, higher order spatial influence is considered. The proposed method is then used to identify knowledge spillovers from German NUTS-2 regional data. One key result of the study is that spatial heterogeneity matters. Thus, robust estimation can be achieved by controlling for both phenomena.

Keywords: Spatial econometrics; Bayesian spatial econometrics; Spatial heterogeneity (search for similar items in EconPapers)
JEL-codes: C11 C31 C52 (search for similar items in EconPapers)
Date: 2010
New Economics Papers: this item is included in nep-cse, nep-ecm, nep-geo and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:zewdip:10005

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