Testing for Spatial Lag and Spatial Error Dependence Using Double Length Artificial Regressions
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Other versions of this item:
- Badi Baltagi & Long Liu, 2014. "Testing for spatial lag and spatial error dependence using double length artificial regressions," Statistical Papers, Springer, vol. 55(2), pages 477-486, May.
References listed on IDEAS
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Cited by:
- Badi H. Baltagi & Long Liu, 2015. "Testing for Spacial Lag and Spatial Error Dependence in a Fixed Effects Panel Data Model Using Double Length Artificial Regressions," Center for Policy Research Working Papers 183, Center for Policy Research, Maxwell School, Syracuse University.
- Deng, Mingyu & Wang, Mingxi, 2022. "Artificial regression test diagnostics for impact measures in spatial models," Economics Letters, Elsevier, vol. 217(C).
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More about this item
Keywords
double length regression; spatial lag dependence; spatial error dependence; artificial regressions jel no. c12; c21; r15;All these keywords.
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2013-01-07 (Econometrics)
- NEP-URE-2013-01-07 (Urban and Real Estate Economics)
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