The New Palgrave Dictionary of Economics

2018 Edition
| Editors: Macmillan Publishers Ltd

GIS Data in Economics

  • Henry G. Overman
Reference work entry
DOI: https://doi.org/10.1057/978-1-349-95189-5_2445

Abstract

Geographical information systems (GIS) are used for inputting, storing, managing, analysing and mapping spatial data. This article considers the role each of these functions can play in economics. GIS can map economic data with a spatial component, generate additional spatial data as inputs to statistical analysis, calculate distances between features of interest and define neighbourhoods around objects. GIS also introduce economics to new data. For example, remote sensing provides large amounts of data on the earth’s surface. These data are of inherent interest, but can also provide an exogenous source of variation and allow the construction of innovative instrumental variables.

Keywords

Geographical information systems (GIS) and economics Spatial data Hedonic analysis 

JEL Classifications

R12 
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Bibliography

  1. Bateman, I., and A. Lovett. 1998. Using geographical information systems (GIS) and large area databases to predict yield class: A study of Sitka spruce in Wales. Forestry 71: 147–168.CrossRefGoogle Scholar
  2. Bateman, I., A. Jones, A. Lovett, I. Lake, and B. Day. 2002. Applying geographical information systems (GIS) to environmental and resource economics. Environmental and Resource Economics 22: 219–269.CrossRefGoogle Scholar
  3. Burchfield, M., H. Overman, D. Puga, and M. Turner. 2006. The determinants of sprawl: A portrait from space. Quarterly Journal of Economics 135: 587–633.CrossRefGoogle Scholar
  4. Diggle, P. 2003. Statistical analysis of spatial point patterns. London: Arnold.Google Scholar
  5. Duranton, G., and H. Overman. 2005. Testing for localisation using micro-geographic data. Review of Economic Studies 72: 1077–1106.CrossRefGoogle Scholar
  6. Gibbons, S., and S. Machin. 2005. Valuing rail access using transport innovations. Journal of Urban Economics 57: 148–169.CrossRefGoogle Scholar
  7. Hoxby, C. 2000. Does competition among public schools benefit students and taxpayers? American Economic Review 90: 1209–1238.CrossRefGoogle Scholar
  8. Longley, P., M. Goodchild, D. Maguire, and D. Rhind. 2005. Geographical information systems and science. 2nd ed. Chichester: John Wiley and Sons.Google Scholar
  9. Overman, H., and Y. Ioannides. 2004. The spatial evolution of the US urban system. Journal of Economic Geography 4: 131–156.CrossRefGoogle Scholar
  10. Rappaport, J. 2006. Moving to nice weather. Working paper no. 03–07. Research Division, Federal Reserve Bank of Kansas City.Google Scholar
  11. Rosenthal, S. and Strange, W. 2005. The attenuation of agglomeration economies: A Manhattan skyline approach. Working paper. University of Toronto.Google Scholar

Copyright information

© Macmillan Publishers Ltd. 2018

Authors and Affiliations

  • Henry G. Overman
    • 1
  1. 1.