SEARCH

SEARCH BY CITATION

References

  • Akaike H (1974) A new look at statistical model identification. IEEE Transactions on Automatic Control 19: 716723
  • Aldstadt J, Getis A (2006) Using AMOEBA to create a spatial weights matrix and identify spatial clusters. Geographical Analysis 38: 327343
  • Anselin L (1988) Spatial econometrics: Methods and models. Kluwer Academic Publishers, Dordrecht
  • Anselin L (2002) Under the hood: Issues in the specification and interpretation of spatial regression models. Agricultural Economics 27: 247267
  • Anselin L, Bera A (1998) Spatial dependence in linear regression models with an introduction to spatial econometrics. In: UllahA, GilesDE (eds) Handbook of applied economic statistics. Marcel Dekker, New York
  • Anselin L, Bera A, Florax RJGM, Yoon MJ (1996) Simple diagnostic tests for spatial dependence. Regional Science and Urban Economics 26: 77104
  • Anselin L, Rey S (1991) Properties of tests for spatial dependence in linear-regression models. Geographical Analysis 23: 112131
  • Bavaud F (1998) Models for spatial weights: A systematic look. Geographical Analysis 30: 153171
  • Bhattacharjee A, Jensen-Butler C (2006) Estimation of spatial weights matrix, with an application to diffusion in housing demand. Working paper, School of Economics and finance, St Andrews University, UK
  • Bozdogan H (1987) Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions. Psychometrika 52: 345370
  • Bronnenberg BJ (2005) Spatial models in marketing research and practice. Applied Stochastic Models in Business and Industry 21: 335343
  • Burridge P (1980) Cliff-Ord test for spatial correlation. Journal of the Royal Statistical Society Series B-Methodological 42: 107108
  • Case AC, Rosen HS, Hines JR (1993) Budget spillovers and fiscal-policy interdependence: Evidence from the States. Journal of Public Economics 52: 285307
  • Cliff AD, Ord JK (1981) Spatial processes: Models and applications. Pion, London
  • Conley TG, Ligon E (2002) Economic distance and cross-country spillovers. Journal of Economic Growth 7: 157187
  • Farber S, Paez A, Volz E (2009) Topology and dependency tests in spatial and network autoregressive models. Geographical Analysis (forthcoming).
  • Florax RJGM, De Graaff T (2004) The performance of diagnostic tests for spatial dependence in linear regression models: A meta-analysis of simulation studies. In: AnselinL, FloraxRJGM, ReySJ (eds) Advances in spatial econometrics. Springer, Berlin
  • Florax RJGM, Folmer H, Rey SJ (2003) Specification searches in spatial econometrics: The relevance of Hendry's methodology. Regional Science and Urban Economics 33: 557579
  • Florax RJGM, Rey S (1995) The impact of misspecified spatial structure in linear regression models. In: AnselinL, FloraxRJGM (eds) New directions in spatial econometrics. Springer-Verlag, Berlin
  • Folmer H, Oud J (2008) How to get rid of W? A latent variable approach to modelling spatially lagged variables. Environment and Planning A 40: 25262538
  • Getis A, Aldstadt J (2004) Constructing the spatial weights matrix using a local statistic. Geographical Analysis 36: 90104
  • Goodchild MF, Haining RP (2004) GIS and spatial data analysis: Converging perspectives. Papers in Regional Science 83: 363385
  • Griffith AD (1996) Some guidelines for specifying the geographic weights matrix contained in spatial statistical models. In: ArlinghausSL, GriffithDA, DrakeWD, NystuenJD (eds) Practical handbook of spatial statistics. CRC Press, Boca Raton, FL
  • Griffith DA, Lagona F (1998) On the quality of likelihood-based estimators in spatial autoregressive models when the data dependence structure is misspecified. Journal of Statistical Planning and Inference 69: 153174
  • Kelejian HH, Robinson DP (1998) A suggested test for spatial autocorrelation and/or heteroskedasticity and corresponding Monte Carlo results. Regional Science and Urban Economics 28: 389417
  • Leenders RTAJ (2002) Modelling social influence through network autocorrelation: Constructing the weight matrix. Social Networks 24: 2147
  • Paez A, Scott D, Volz E (2008) Weight matrices for social influence analysis: An investigation of measurement errors and their effect on model identification and estimation quality. Social Networks 30: 309317
  • Smith T (2008) Estimation bias in spatial models with strongly connected weight matrices. Geographical Analysis (forthcoming).
  • Stetzer F (1982) Specifying weights in spatial forecasting models: The results of some experiments. Environment and Planning A 14: 571584