Scandinavian Working Papers in Economics
Working Paper Series,
IFAU - Institute for Evaluation of Labour Market and Education Policy
No 2009:15: Cluster sample inference using sensitivity analysis: the case with few groups
Johan Vikström ()
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Johan Vikström: IFAU - Institute for Labour Market Policy Evaluation, Postal: P O Box 513, SE-751 20 Uppsala, Sweden
Abstract: This paper re-examines inference for cluster samples. Sensitivity analysis is proposed as a new method to perform inference when the number of groups is small. Based on estimations using disaggregated data, the sensitivity of the standard errors with respect to the variance of the cluster effects can be examined in order to distinguish a causal effect from random shocks. The method even handles just-identified models. One important example of a just-identified model is the two groups and two time periods difference-in-differences setting. The method allows for different types of correlation over time and between groups in the cluster effects.
Keywords: Cluster-correlation; difference-in-difference; sensitivity analysis
43 pages, June 11, 2009
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wp09-15.pdf
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- Johan Vikström, (2016), 'Cluster Sample Inference with Very Few Groups', Economics Letters, vol 3, no 1, pages 1-10
- IFAU - Institute for Evaluation of Labour Market and Education Policy
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