On the Spatial Correlation of International Conflict Initiation and Other Binary and Dyadic Dependent Variables
AbstractWe examine spatially correlated interregional flows measured as binary choice outcomes. Since the dependent variable is not only binary and dyadic, but also spatially correlated, we propose a spatial origin-destination probit model and a Bayesian estimation methodology that avoids inconsistent maximum likelihood estimates. We apply the model to militarized interstate dispute initiations, observations of which are clearly binary and dyadic and which may be spatially correlated due to their geographic distribution. Using a cross-section of 26 European countries drawn from the period leading up to WWII, we find empirical evidence for target-based spatial correlation and sizable network effects resulting from the correlation. In particular, we find that the effect of national military capability of the potential aggressor, which is a significant determinant of conflict in either case, is overstated in a benchmark model that ignores spatial correlation. This effect is further differentiated by the geographic location of a country.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Department of Economics, University of Missouri in its series Working Papers with number 1306.
Length: 41 pgs.
Date of creation: 24 May 2013
Date of revision:
Publication status: Forthcoming in Regional Science and Urban Economics
spatial correlation; origin-destination flows; probit; militarized interstate disputes; correlates of war;
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions
- N4 - Economic History - - Government, War, Law, International Relations, and Regulation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-06-16 (All new papers)
- NEP-ECM-2013-06-16 (Econometrics)
- NEP-URE-2013-06-16 (Urban & Real Estate Economics)
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.:
- Vassilis A. Hajivassiliou & Daniel L. McFadden, 1993.
"The Method of Simulated Scores for the Estimation of LDV Models,"
_023, Yale University.
- Vassilis A. Hajivassiliou & Daniel L. McFadden, 1998. "The Method of Simulated Scores for the Estimation of LDV Models," Econometrica, Econometric Society, vol. 66(4), pages 863-896, July.
- V A Hajivassiliou & DL McFadden, 1997. "The Method of Simulated Scores for the Estimation of LDV Models," STICERD - Econometrics Paper Series /1997/328, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Haringvard Hegre & John R Oneal & Bruce Russett, 2010. "Trade does promote peace: New simultaneous estimates of the reciprocal effects of trade and conflict," Journal of Peace Research, Peace Research Institute Oslo, vol. 47(6), pages 763-774, November.
- Hess, Gregory D. & Orphanides, Athanasios, 2001. "Economic conditions, elections, and the magnitude of foreign conflicts," Journal of Public Economics, Elsevier, vol. 80(1), pages 121-140, April.
- Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993.
"Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models,"
Journal of Econometrics,
Elsevier, vol. 58(3), pages 347-368, August.
- Vassilis A. Hajivassiliou & Axel Borsch-Supan, 1990. "Smooth Unbiased Multivariate Probability Simulators for Maximum Likelihood Estimation of Limited Dependent Variable Models," Cowles Foundation Discussion Papers 960, Cowles Foundation for Research in Economics, Yale University.
- Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
- Manfred M. Fischer & Thomas Scherngell & Eva Jansenberger, 2005. "The Geography of Knowledge Spillovers between High-Technology Firms in Europe - Evidence from a Spatial Interaction Modelling Perspective," ERSA conference papers ersa05p5, European Regional Science Association.
- James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin-Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967.
- James P. LeSage & Manfred M. Fischer & Thomas Scherngell, 2007. "Knowledge spillovers across Europe: Evidence from a Poisson spatial interaction model with spatial effects," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 393-421, 08.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Stratton).
If references are entirely missing, you can add them using this form.