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Статистика и выводы: причинно-следственные связи и вероятности
МЕТОД: Московский ежегодник трудов из обществоведческих дисциплин. 2015. № 5. С. 299–308.
Gasparyan O. T.
Spatial econometrics is one of the mainstream directions in the contemporary quantitative analysis. In political science the development of comparative cross-sectional studies leads to the necessity of understanding spatial econometric techniques.\
The current paper shows the importance of spatial modeling on the example of Russian regions and presumes that ignoring the spatial interdependence of the initial observations could result in overestimation of one factor’s influence on the other.
Priority areas:
humanitarian
Language:
Russian
Keywords: causalityпространственная корреляцияпричинностьspatial econometricsпространственная эконометрикапространственные моделиspatial lags
Publication based on the results of:
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Post-Soviet Eurasia is one of the world's most geopolitically consequential and rapidly transforming regions. Developments across it increasingly reshape political, economic and social relations far beyond its borders. Understanding these dynamics is therefore both intellectually urgent and analytically demanding, requiring an interdisciplinary approach capable of moving beyond established categories and fragmented national perspectives.
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Yakovlev E., Maksimov D. A., Mathematical notes 2026 Vol. 120 No. 3 P. 483–496
Smooth principal bundles whose total spaces and bases are time oriented Lorentzian manifolds and whose projections are Lorentzian submersions preserving time orientations are studied. Previously, the authors showed that the chronologicity, causality, and stable causality always lift from the base to the space of a Lorentzian bundle. For strong causality and global hyperbolicity, this holds ...
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