The Size and Power of Bootstrap Tests for Spatial Dependence in a Linear Regression Model
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DOI: 10.1007/s10614-010-9224-0
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Cited by:
- Jin, Fei & Lee, Lung-fei, 2015. "On the bootstrap for Moran’s I test for spatial dependence," Journal of Econometrics, Elsevier, vol. 184(2), pages 295-314.
- Torben Klarl, 2014.
"Is Spatial Bootstrapping A Panacea For Valid Inference?,"
Journal of Regional Science, Wiley Blackwell, vol. 54(2), pages 304-312, March.
- Torben Klarl, 2013. "Is Spatial Bootstrapping a Panacea for Valid Inference?," Discussion Paper Series 322, Universitaet Augsburg, Institute for Economics.
- Zhenlin Yang, 2013. "LM Tests of Spatial Dependence Based on Bootstrap Critical Values," Working Papers 03-2013, Singapore Management University, School of Economics.
- Yang, Zhenlin, 2015. "LM tests of spatial dependence based on bootstrap critical values," Journal of Econometrics, Elsevier, vol. 185(1), pages 33-59.
- Ren, Tongxian & Long, Zhihe & Zhang, Rengui & Chen, Qingqing, 2014. "Moran's I test of spatial panel data model — Based on bootstrap method," Economic Modelling, Elsevier, vol. 41(C), pages 9-14.
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Keywords
; ; ; ; ; ; ; ; ;JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
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