Spatial and Cultural Autocorrelation in International Datasets

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Spatial and Cultural Autocorrelation in International Datasets

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E. Anthon Eff

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Ellis Anthon Eff

Abstract

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.

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Paper provided by Middle Tennessee State University, Department of Economics and Finance in its series Working Papers with number 200401.

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Date of creation: Feb 2004
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Handle: RePEc:mts:wpaper:200401

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Find related papers by JEL classification:
F00 - International Economics - - General - - - General
C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
Z10 - Other Special Topics - - Cultural Economics - - - General
Z12 - Other Special Topics - - Cultural Economics - - - Religion

This paper has been announced in the following NEP Reports:

NEP-ALL-2005-08-13 (All new papers)
NEP-URE-2005-08-13 (Urban & Real Estate Economics)

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

Easterly, William & Levine, Ross, 1997. "Africa's Growth Tragedy: Policies and Ethnic Divisions," The Quarterly Journal of Economics, MIT Press, vol. 112(4), pages 1203-50, November.
Other versions:
- Easterly, W & Levine, R, 1996. "Africa's Growth Tragedy : Policies and Ethnic Divisions," Papers 536, Harvard - Institute for International Development.
King, Gary & Lowe, Will, 2003. "An Automated Information Extraction Tool for International Conflict Data with Performance as Good as Human Coders: A Rare Events Evaluation Design," International Organization, Cambridge University Press, vol. 57(03), pages 617-642, July. [Downloadable!]

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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

E. Anthon Eff, 2004. "Spatial, Cultural, and Ecological Autocorrelation in U.S. Regional Data," Working Papers 200406, Middle Tennessee State University, Department of Economics and Finance. [Downloadable!]
Frédéric Docquier & Olivier Lohest & Abdeslam Marfouk, 2005. "Brain Drain in Developing Regions (1990-2000)," IZA Discussion Papers 1668, Institute for the Study of Labor (IZA). [Downloadable!]

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