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- W2891723356 abstract "We bring together the spatial and global vector autoregressive (GVAR) classes of econometric models by providing a detailed methodological review of where they meet in terms of structure, interpretation, and estimation methods. We discuss the structure of cross-section connectivity (weight) matrices used by these models and its implications for estimation. Primarily motivated by the continuously expanding literature on spillovers, we define a broad and measurable concept of spillovers. We formalize it analytically through the indirect effects used in the spatial literature and impulse responses used in the GVAR literature. Finally, we propose a practical step-by-step approach for applied researchers who need to account for the existence and strength of cross-sectional dependence in the data. This approach aims to support the selection of the appropriate modeling and estimation method and of choices that represent empirical spillovers in a clear and interpretable form. JEL Classification: C33, C38, C51" @default.
- W2891723356 created "2018-09-27" @default.
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- W2891723356 date "2018-02-01" @default.
- W2891723356 modified "2023-09-25" @default.
- W2891723356 title "Spillovers in space and time : Where spatial econometrics and Global VAR models meet" @default.
- W2891723356 doi "https://doi.org/10.2866/084378" @default.
- W2891723356 hasPublicationYear "2018" @default.
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