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A commuting-based refinement of the contiguity matrix for spatial models, and an application to local police expenditures

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  • Rincke, Johannes

Abstract

One of the main weaknesses of empirical models in regional science and urban economics involving spatial interdependence is the arbitrary nature of the weight matrix. The paper considers a refinement of the commonly used contiguity matrix which exploits information on commuting flows between locations. Within the set of contiguous jurisdictions, the matrix assigns higher weights to localities for which commuting patterns suggest that households would view them as substitute locations to reside in. The concept is then applied to cities and townships in New England. Using the expenditure competition effect on local police spending as an example, we show that commuting-adjusted weighting schemes give estimates which differ substantially from those obtained using a standard contiguity matrix.

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Bibliographic Info

Article provided by Elsevier in its journal Regional Science and Urban Economics.

Volume (Year): 40 (2010)
Issue (Month): 5 (September)
Pages: 324-330

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Handle: RePEc:eee:regeco:v:40:y:2010:i:5:p:324-330

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Web page: http://www.elsevier.com/locate/regec

Related research

Keywords: Spatial weights Contiguity matrix Commuting flows Police expenditures;

References

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  1. Revelli, Federico, 2003. "Reaction or interaction? Spatial process identification in multi-tiered government structures," Journal of Urban Economics, Elsevier, vol. 53(1), pages 29-53, January.
  2. Rincke, Johannes, 2006. "Competition in the public school sector: Evidence on strategic interaction among US school districts," Journal of Urban Economics, Elsevier, vol. 59(3), pages 352-369, May.
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  8. Büttner, Thiess, 1998. "Local Business Taxation and Competition for Capital: The Choice of the Tax Rate," ZEW Discussion Papers 98-43, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
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  12. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
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  15. Baicker, Katherine, 2005. "The spillover effects of state spending," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 529-544, February.
  16. Brueckner, Jan K., 1998. "Testing for Strategic Interaction Among Local Governments: The Case of Growth Controls," Journal of Urban Economics, Elsevier, vol. 44(3), pages 438-467, November.
  17. Figlio, David N. & Kolpin, Van W. & Reid, William E., 1999. "Do States Play Welfare Games?," Journal of Urban Economics, Elsevier, vol. 46(3), pages 437-454, November.
  18. Kelejian, Harry H. & Robinson, Dennis P., 1992. "Spatial autocorrelation : A new computationally simple test with an application to per capita county police expenditures," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 317-331, September.
  19. Federico Revelli, 2005. "On Spatial Public Finance Empirics," International Tax and Public Finance, Springer, vol. 12(4), pages 475-492, August.
  20. Manski, Charles F, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Wiley Blackwell, vol. 60(3), pages 531-42, July.
  21. Rincke, Johannes, 2007. "Policy diffusion in space and time: The case of charter schools in California school districts," Regional Science and Urban Economics, Elsevier, vol. 37(5), pages 526-541, September.
  22. Bivand, Roger & Szymanski, Stefan, 1997. "Spatial dependence through local yardstick competition:: theory and testing," Economics Letters, Elsevier, vol. 55(2), pages 257-265, August.
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Citations

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Cited by:
  1. Ernest Miguele & Rosina Moreno, 2012. "Do labour mobility and networks foster geographical knowledge diffusion? The case of European regions," Working Papers XREAP2012-14, Xarxa de Referència en Economia Aplicada (XREAP), revised Jul 2012.
  2. Ernest Miguélez & Rosina Moreno, 2013. "Do Labour Mobility and Technological Collaborations Foster Geographical Knowledge Diffusion? The Case of European Regions," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 44(2), pages 321-354, 06.
  3. Seya, Hajime & Yamagata, Yoshiki & Tsutsumi, Morito, 2013. "Automatic selection of a spatial weight matrix in spatial econometrics: Application to a spatial hedonic approach," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 429-444.
  4. Skidmore, Mark & Reese, Laura & Kang, Sung Hoon, 2012. "Regional analysis of property taxation, education finance reform, and property value growth," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 351-363.

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