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Spatial correlation robust inference with Errors in Location or Distance

Timothy Conley () and Francesca Molinari

No CWP10/05, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies

Abstract: 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.

New Economics Papers: this item is included in nep-ecm and nep-geo
Date: 2005-08-19
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http://cemmap.ifs.org.uk/wps/cwp1005.pdf (application/pdf)

Related works:
Journal Article: Spatial correlation robust inference with errors in location or distance (2007) Downloads
Working Paper: Spatial Correlation Robust Inference with Errors in Location or Distance (2005) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:ifs:cemmap:10/05

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