Chapter

Non-standard Spatial Statistics and Spatial Econometrics

Volume 1 of the series Advances in Geographic Information Science pp 243-243

Date:

General Spatial Econometric Conclusions

  • Daniel A. GriffithAffiliated withUniversity of Texas, Dallas School of Economic, Political & Policy Sciences Email author 
  • , Jean H.P. PaelinckAffiliated withGeorge Mason University, School of Public Policy

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Abstract

What should be clear from the exercises presented is that in most of them, classical “regression” has been combined with mathematical programming to obtain the desired estimators.