Skip to main content

The Impacts of Misspecified Spatial Interaction in Linear Regression Models

  • Chapter
New Directions in Spatial Econometrics

Part of the book series: Advances in Spatial Science ((ADVSPATIAL))

Abstract

In most applied empirical studies in the realm of amongst others regional economics, urban planning and environmental economics, the estimation of ana priorispecified model is based on observations for a finite set of spatial units. This causes a number of persistent problems, which to varying extents have been dealt with in the literature. Essentially, the more fundamental problems boil down to the following issues.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Anselin, L., Small Sample Properties of Estimators for the Linear Model with a Spatial Autoregressive Structure in the Disturbance, Modeling and Simulation, 12, 899–904, 1981.

    Google Scholar 

  • Anselin, L., Estimation and Inference in Misspecified Spatial Autoregressive Models, Some Small Sample Results, Columbus: Ohio State University Research Foundation, 1985.

    Google Scholar 

  • Anselin, L., Non-Nested Tests on the Weight Structure in Spatial Autoregressive Models: Some Monte Carlo Results, Journal of Regional Science, 26, 267–284, 1986.

    Article  Google Scholar 

  • Anselin, L., Spatial Econometrics: Methods and Models, Boston: Kluwer, 1988.

    Google Scholar 

  • Anselin, L., Spatial Dependence and Spatial Structural Instability in Applied Region Analysis, Journal of Regional Science, 30, 185–207, 1990.

    Article  Google Scholar 

  • Anselin, L., Testing for Spatial Dependence in Linear Regression Models: A Review, Morgantown: West Virginia University, Regional Research Institute Research Paper 94–16, 1994a.

    Google Scholar 

  • . Anselin, L., Local Indicators of Spatial Association - LISA, Morgantown: West Virginia University, Regional Research Institute, Research Paper 93–31, 1994b.

    Google Scholar 

  • Anselin, L. and R.J.G.M. Florax, Small Sample Properties of Tests for Spatial Dependence in Regression Models: Some further results, 1995 (this issue).

    Google Scholar 

  • Anselin, L. and S. Hudak, Spatial Econometrics in Practice, A Review of Software Options, Regional Science and Urban Economics, 22, 509–536, 1992.

    Article  Google Scholar 

  • Anselin, L. and S. Rey, Properties of Tests for Spatial Dependence in Linear Regression Models, Geographical Analysis, 23, 112–131, 1991.

    Article  Google Scholar 

  • Bera, A.K. and M.J. Yoon, Simple Diagnostic Tests for Spatial Dependence, Champaign: University of Illinois, Department of Economics, 1992 (mimeo).

    Google Scholar 

  • Bolduc, D., R. Laferrière and G. Santarossa, Spatial Autoregressive Error Components in Travel Flow Models: An Application to Aggregate Mode Choice, 1995 (this issue).

    Google Scholar 

  • Boots, B.N and G.F. Royle, A Conjecture on the Maximum Value of the Principal Eigenvalue of a Planar Graph, Geographical Analysis, 23, 276–82, 1991.

    Article  Google Scholar 

  • Brett, C., J. Pinkse and M. E. Slade, Spatial Price Competition, A Semiparametric Approach, Paper Presented at the 41st North American Meetings of the Regional Science Association International, Niagara Falls, ON, 1994.

    Google Scholar 

  • Burridge, P., On the Cliff-Ord Test for Spatial Autocorrelation, Journal ofthe Royal Statistical Society B, 42, 107–108, 1980.

    Google Scholar 

  • Cliff, A. and J.K. Ord, Spatial Processes: Models and Applications, London: Pion, 1981.

    Google Scholar 

  • Florax, R. and H. Folmer, Specification and Estimation of Spatial Linear Regression Models: Monte Carlo Evaluation of Pre-Test Estimators, Regional Science and Urban Economics, 22, 405–432, 1992.

    Article  Google Scholar 

  • Getis, A., Spatial Interaction and Spatial Autocorrelation: A Cross-Product Approach, Environment and Flanning A, 23, 1269–1277, 1991.

    Article  Google Scholar 

  • Getis, A. and K. Ord, The Analysis of Spatial Association by Use of Distance Statistics, Geographical Analysis, 24, 189–206, 1992.

    Article  Google Scholar 

  • Griffith, D., An Evaluation of Correction Techniques for Boundary Effects and Missing Value Techniques, Geographical Analysis, 17, 81–88, 1985.

    Article  Google Scholar 

  • Griffith, D.A., Advanced Spatial Statistics, Dordrecht: Kluwer, 1988.

    Book  Google Scholar 

  • Hordijk, L., Spatial Correlation in the Disturbances of a Linear Interregional Model, Regional and Urban Economics, 4, 117–140, 1974.

    Article  Google Scholar 

  • Kelejian, H.H. and D.P. Robinson, Spatial Autocorrelation: A New Computationally Simple Test with an Application to per Capita County Police Expenditures, Regional Science and Urban Economics, 22, 317–331, 1992.

    Article  Google Scholar 

  • Moran, P.A.P., Notes on Continuous Stochastical Phenomena, Biometrika, 37, 17–23, 1950.

    Google Scholar 

  • Stetzer, F., Specifying Weights in Spatial Forecasting Models: The Results of Some Experiments, Environment and Flanning A, 14, 571–584, 1982.

    Article  Google Scholar 

  • Thursby, J.G. and P. Schmidt, Some Properties of tests for Specification Error in a Linear Regression Model, Journal ofthe American Statistical Association, 72, 635–641, 1977.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Florax, R.J.G.M., Rey, S. (1995). The Impacts of Misspecified Spatial Interaction in Linear Regression Models. In: Anselin, L., Florax, R.J.G.M. (eds) New Directions in Spatial Econometrics. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79877-1_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-79877-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-79879-5

  • Online ISBN: 978-3-642-79877-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics