| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1002/jae.2277 |
| Spatial filtering, model uncertainty and the speed of income convergence in Europe. | |
| Crespo Cuaresma J; Feldkircher M | |
| 发表日期 | 2013 |
| 出处 | Journal of Applied Econometrics 28 (4): 720-741 |
| 出版年 | 2013 |
| 语种 | 英语 |
| 摘要 | In this paper we put forward a Bayesian model averaging method dealing with model uncertainty in the presence of potential spatial autocorrelation. The method uses spatial filtering in order to account for different types of spatial links. We contribute to existing methods that handle spatial dependence among observations by explicitly taking care of uncertainty stemming from the choice of a particular spatial structure. Our method is applied to estimate the conditional speed of income convergence across 255 NUTS-2 European regions for the period from 1995 to 2005. We show that the choice of a spatial weight matrix - and in particular the choice of a class thereof - can have an important effect on the estimates of the parameters attached to the model covariates. We also show that estimates of the speed of income convergence across European regions depend strongly on the form of the spatial patterns which are assumed to underlie the dataset. When we take into account this dimension of model uncertainty, the posterior distribution of the speed of convergence parameter has a large probability mass around a rate of convergence of 1%, approximately half of the value which is usually reported in the literature. |
| 主题 | World Population (POP) |
| 关键词 | Model uncertainty Spatial filtering Determinants of economic growth European regions |
| URL | http://pure.iiasa.ac.at/id/eprint/10444/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/129763 |
| 推荐引用方式 GB/T 7714 | Crespo Cuaresma J,Feldkircher M. Spatial filtering, model uncertainty and the speed of income convergence in Europe.. 2013. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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