Spatial and Cultural Autocorrelation in International Datasets
Ellis Eff ()
No 200401, Working Papers from Middle Tennessee State University, Department of Economics and Finance
Positive autocorrelation implies that proximate observations take on similar values. “Proximate” can be defined in many different dimensions. In a cross-section of nations, it can be defined using physical distance, cultural similarity, ecological similarity, or using frequency and intensity of interaction, such as trade relationships or enemy and ally relationships. Autocorrelation of regression residuals presents well-known problems in least-squares estimation, but autocorrelation also provides useful information for exploratory data analysis and model specification. The paper shows that autocorrelation is widespread in international datasets. The paper demonstrates the usefulness of autocorrelation in uncovering stylized facts about international relations, and in specifying a least-squares model.
Keywords: Spatial Autocorrelation; Culture; Religion (search for similar items in EconPapers)
JEL-codes: C49 F00 Z10 Z12 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:mts:wpaper:200401
Access Statistics for this paper
More papers in Working Papers from Middle Tennessee State University, Department of Economics and Finance Contact information at EDIRC.
Bibliographic data for series maintained by E. Anthon Eff ().