空间自相关研究:以俄罗斯地区通货膨胀为例

Q3 Economics, Econometrics and Finance Applied Econometrics Pub Date : 2021-01-01 DOI:10.22394/1993-7601-2021-64-5-22
A. Kirillov
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引用次数: 0

摘要

本文运用apple统计方法探讨了俄罗斯地区通货膨胀过程的空间自相关性。本文讨论了apple是Moran i的良好替代方案。为了进行本研究,我们修改了面板数据结构的空间依赖性统计。我们使用俄罗斯地区cpi的时间序列(即通货膨胀的定量测量)的食品,非食品,服务篮子。我们在研究的视界上找到证据来证实区域暴胀过程存在空间自相关的假设。
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A study on spatial autocorrelation: Case of Russian regional inflation
We apply APLE statistic to explore spatial autocorrelation of Russian regional inflationary processes. APLE is discussed to be the fine alternative to Moran’s I. To conduct this study we modify statistics of spatial dependence for panel data structure. We use time series of Russian regional CPIs (i.e. quantitative measure of inflation) of food, non-food, services baskets. We find evidence to confirm the hypothesis of the existence of spatial autocorrelation of regional inflationary processes on the horizon of our study.
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来源期刊
Applied Econometrics
Applied Econometrics Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
0.70
自引率
0.00%
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0
期刊介绍: The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.
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