Abstract
Until recently, much effort has been devoted to the estimation of panel data regression models without adequate attention being paid to the drivers of diffusion and interaction across cross section and spatial units. We discuss some new methodologies in this emerging area and demonstrate their use in measurement and inferences on cross section and spatial interactions. Specifically, we highlight the important distinction between spatial dependence driven by unobserved common factors and those based on a spatial weights matrix. We argue that, purely factor driven models of spatial dependence may be somewhat inadequate because of their connection with the exchangeability assumption. Limitations and potential enhancements of the existing methods are discussed, and several directions for new research are highlighted.
| Original language | English |
|---|---|
| Place of Publication | St. Andrews |
| Publisher | Scottish Institute for Research in Economics |
| Number of pages | 43 |
| Publication status | Published - 2009 |
Publication series
| Name | SIRE Discussion Papers |
|---|---|
| Publisher | Scottish Institute for Research in Economics |
| No. | 2009-39 |
Keywords
- cross sectional and spatial dependence
- spatial weights matrix
- interactions and diffusion
- Monetary Policy Committee
- Generalised method of moments
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Structural interactions in spatial panels
Bhattacharjee, A. & Holly, S., 1 Feb 2011, In: Empirical Economics. 40, 1, p. 69-94 26 p.Research output: Contribution to journal › Article › peer-review
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Structural Interactions in Spatial Panels
Bhattacharjee, A. & Holly, S., 2010, St. Andrews: Centre for Dynamic Macroeconomic Analysis, 42 p. (CDMA Working Paper Series; no. CDMA10/03).Research output: Working paper/Preprint › Working paper
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