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Spatial and Cultural Autocorrelation in International Datasets

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  • E. 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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Bibliographic Info

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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Web page: http://www.mtsu.edu/~berc/working/Economics_Working_Papers.html
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Keywords: Spatial Autocorrelation; Culture; Religion;

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  1. 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, June.
  2. Andrew Rose, 2005. "Which International Institutions Promote International Trade?," Review of International Economics, Wiley Blackwell, vol. 13(4), pages 682-698, 09.
  3. Easterly, W & Levine, R, 1996. "Africa's Growth Tragedy : Policies and Ethnic Divisions," Papers 536, Harvard - Institute for International Development.
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Cited by:
  1. 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.
  2. Miriam Henseler & Joachim Plesch, 2009. "How Can Scholarship Institutions Foster the Return of Foreign Students?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 229(4), pages 382-409, August.
  3. Docquier, Frédéric & Lohest, Olivier & Marfouk, Abdeslam, 2005. "Brain Drain in Developing Regions (1990-2000)," IZA Discussion Papers 1668, Institute for the Study of Labor (IZA).

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