Technical Appendix for: Spatial Correlation Robust Inference with Errors in Location or Distance

By Timothy G. Conley, Francesca Molinari. 2005

98 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/ce796c68ae07b2cf5a36f95146de3af0fa6bc937

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Harry H. Kelejian
2. Ingmar R. Prucha
3. M. Kim
4. Gianfranco Piras
5. Yixiao Sun
6. Dean Eckles
7. René F. Kizilcec
8. Eytan Bakshy

Citations in the corpus

• HAC estimation in a spatial framework (2007, background): “8 In a different context, Monte Carlo results relating to non-parametric estimation of asymptotic variances are also given in Conley and Molinari (2005) .”
• Spatial Heteroskedasticity and Autocorrelation Consistent Estimation of Covariance Matrix (2011, methodology): “Conley and Molinari (2007) examine the performance of this estimator using Monte Carlo simulation.”
• Estimating peer effects in networks with peer encouragement designs (2016, methodology): “Prior work on Facebook specifically (12, 13), and other related technologies (14, 15) has provided observational and quasi-experimental evidence for peer effects in initial adoption, content production, and sustained use.”