Spillover Effects of Homicides across Mexican Municipalities: A Spatial Regime Model Approach

Flores, Miguel and Rodriguez-Oreggia, Eduardo (2014): Spillover Effects of Homicides across Mexican Municipalities: A Spatial Regime Model Approach.

Abstract

This paper investigates spatial diffusion patterns of high levels of violence across Mexican municipalities to nearby locations while also exploring the possible effect of increasing law enforcement resources in some regions of the country. Our approach consists of providing a framework based on spatial regime models to address spatial heterogeneity that indicates instability in the structural determinants of homicides. In this context, a distinction is made in relation to the regimes that are analyzed between those municipalities that were exposed to joint operations (‘operativos conjuntos’) and those that were not exposed to the operations. Spatial econometric models were estimated for each regime in light of investigating possible spillover effects arising from the covariates. The results point to differences in regard to the significance, magnitude, and sign of the effects related to some variables according to each spatial regime’s specification. While the direct effects show that socioeconomic variables tend to play an important role in explaining the variation of homicides in the non-joint operation regime, the historical level of homicides and closeness to the U.S. border operate in a more significant way for those municipalities in the joint operation regime. In regard to the indirect effects estimates, a positive and significant spillover effect upon homicide rates is attributed to our law enforcement variable as well as to the proxy variable of informality. These spillover effects are found to be greater in magnitude especially in those municipalities exposed to joint operations.

• Item Type: MPRA Paper
• Language: English
• Keywords: ESDA, spillover effects, homicides, spatial regime model
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General; H - Public Economics > H7 - State and Local Government ; Intergovernmental Relations; O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics

References

Anselin, Luc. (1988) Spatial Econometrics: Methods and Models, Kuwler Academic Publishers, Dordrecht, The Netherlands.

Anselin, Luc. (1990) “Spatial Dependence and Spatial Structural Instability in Applied Regression Analysis,” Journal of Regional Science, 30(2), 185-207.

Anselin, Luc. (1993) “The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial Association,” Paper presented at the GISDATA Specialist Meeting on GIS and Spatial Analysis, Amsterdam, The Netherlands, December 1-5 (West Virginia University, Regional Research Institute, Research Paper 9330).

Anselin, Luc. (1995) “Local indicators of spatial association-LISA,” Geographical Analysis,” 27, 93-115.

Baller, R. D. Anselin, L., Messner, S. F., Deane, G. & Hawkins, D. D. (2001) “Structural Covariates of U.S. County Homicide Rates: Incorporating Spatial Effects,” Criminology, 39(3), 561-590.

Bannister, Jonathan. (1991). The impact of environmental design upon the incidence and type of crime, a literature review. Series: Central research unit papers. Central Research Unit, Edinburg, UK.

Barr, Robert, and Pease, Ken. (1990). Crime placement, displacement, and deflection. Crime and Justice, 12, 277-318.

Clarke, Ronald, and Weisburd, David. (1994). Diffusion of crime control benefits: Observation on the reverse of displacement. In R.V. Clarke (Ed.), Crime Prevention Studies, Vol 2. New York, Criminal Justice Press.

Cohen, Jaquelin, & Tita, George. (1999). Diffusion in homicide: exploring a general method for detecting spatial diffusion processes, Journal of Quantitative Criminology, 15, 451-493.

Chabat, Jorge. (2010). La respuesta del gobierno de Felipe Calderón al desafío del narcotráfico: Entre lo malo y lo peor. In Alvarado, A. and Serrano, M. (eds) Seguridad Nacional y Seguridad Interior. Los grandes problemas de Mexico, COLMEX, Mexico.

Di Tella, Rafael., and Schragrodsky, Ernesto. (2004). Do police reduce crime? Estimates using the allocation of police forces after a terrorist attack. American Economic Review, 94(1), 115-133.

Dube, A., Dube, O. and Garcia-Ponce, O. (2013) “Cross-Border Spillover: U.S. Gun Laws and Violence in Mexico,” American Political Science Review, 17(3), 397-417.

Eck, J.P. (1993). The threat of crime displacement. Criminal Justice Abstracts, 25, 527-543.

Elhorst, James P. (2010) “Applied Spatial Econometrics: Raising the Bar,” Spatial Economic Analysis 5 (1): 9–28.

Elhorst, James P. (2014) Spatial Econometrics. From Cross-Sectional Data to Spatial Panels, Springer.

Escalante, Fernando. (2010). Panorama del homicidio en Mexico, esquema de analisis territorial 1990-2007. In Alvarado, A. and Serrano, M. (eds) Seguridad Nacional y Seguridad Interior. Los grandes problemas de Mexico, COLMEX, Mexico.

Guerette, Rob. (2009) “Analyzing Crime Displacement and Diffusion,” Problem-Oriented Guides for Police Problem-Solving Tools Series No. 10. U.S. Department of Justice, Office of Community Oriented Policing Services.

Hessenling, Rene. (1994). Displacement: a review of the empirical literature. In R.V. Clarke (Ed.), Crime Prevention Studies, Vol. 3. Monsey, Criminal Justice Press.

Kelejian , Harry H. and Dennis P. Robinson. (1993) “A suggested method of estimation for spatial interdependent models with autocorrelated errors, and application to a county expenditure model,” Papers in Regional Science 72:297-312.

Kelejian Harry and Ingmar R. Prucha. (1998) “A Generalized Spatial Two-State Least Squares Procedure for estimating a Spatial Autogressive Model,” Journal of Real Estate and Finance Economics, 17:1, 99-121.

LeSage, James, and Robert Kelley Pace (2009) Introduction to Spatial Econometrics, (Boca Raton: Taylor Francis/CRC Press).

Maldonado, Salvador. (2012). Drogas, violencia y militarizacion en el Mexico rural, el caso de Michoacan. Revista Mexicana de Sociología, 74(1), 5-39.

Merino, J. and Gomez, V. (2012) “Cuerpos sin nombre,” NEXOS, num. 420, Diciembre 2012.

Messner, S., and Anselin, L. (2004) Spatial Analyses of Homicide with Areal Data. In M. Goodchild and D. Janelle (Eds.), Spatially Integrated Social Science (pp. 127-144). New York: Oxford University Press.

Rey, Serge, Mack, E,. and Koschinsky, J. (2012). “Exploratory Space–Time Analysis of Burglary Patterns,” Journal of Quantitative Criminology, 28 (3), 509–531.

Rodriguez-Oreggia, Eduardo and Flores, M. (2012) “Structural factors and the “War on Drugs” effects on the upsurge in homicides in Mexico,” CID Working Paper No. 229, January 2012, Center for International Development at Harvard University.

Ratcliffe, Jerry. (2010). The spatial dependency of crime increase dispersion. Security Journal, 23, 18-36.

Rhoda, Richard and Burton Tony. (2010) Geo-Mexico: The geography and dynamics of modern Mexico, Sombrero Books, First edition. Available online: http://geo-mexico.com/?p=1166.

Sanchez, Vicente. (2011). La actual lucha del gobierno mexicano contra la delincuencia en la frontera con Estados Unidos. Frontera Norte, 23(45), 97-129.

Vega, S. Hallek and Elhorst J. Paul. (2013) “On spatial econometric models, spillover effects, and W,” Paper presented at the 53rd ERSA Congress, Palermo, Italy.

Zimring, Franklin E. and Hawkings G. (1997) Crime Is Not the Problem: Lethal Violence in America, Oxford, U.K.: Oxford University Press.