Spatial correlation robust inference with Errors in Location or Distance
Timothy Conley () and
No CWP10/05, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies
This paper presents results from a Monte Carlo study concerning inference with spatially dependent data. It investigates the impact of location/distance measurement errors upon the accuracy of parametric and nonparametric estimators of asymptotic variances.
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Journal Article: Spatial correlation robust inference with errors in location or distance (2007)
Working Paper: Spatial Correlation Robust Inference with Errors in Location or Distance (2005)
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Persistent link: https://EconPapers.repec.org/RePEc:ifs:cemmap:10/05
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