Imperial College London
Alternate

ProfessorRustamIbragimov

Business School

Professor of Finance and Econometrics
 
 
 
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Contact

 

+44 (0)20 7594 9344i.rustam Website CV

 
 
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Location

 

40953 Prince's GateSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ibragimov:2016:10.1162/REST_a_00545,
author = {Ibragimov, R and Müller, UK},
doi = {10.1162/REST_a_00545},
journal = {Review of Economics and Statistics},
pages = {83--96},
title = {Inference with few heterogeneous clusters},
url = {http://dx.doi.org/10.1162/REST_a_00545},
volume = {98},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Suppose estimating a model on each of a small number of potentially heterogeneous clusters yields approximately independent, unbiased, and Gaussian parameter estimators. We make two contributions in this setup. First, we show how to compare a scalar parameter of interest between treatment and control units using a two-sample t-statistic, extending previous results for the one-sample t-statistic. Second, we develop a test for the appropriate level of clustering; it tests the null hypothesis that clustered standard errors from a much finer partition are correct. We illustrate the approach by revisiting empirical studies involving clustered, time series, and spatially correlated data.
AU  - Ibragimov,R
AU  - Müller,UK
DO  - 10.1162/REST_a_00545
EP  - 96
PY  - 2016///
SN  - 0034-6535
SP  - 83
TI  - Inference with few heterogeneous clusters
T2  - Review of Economics and Statistics
UR  - http://dx.doi.org/10.1162/REST_a_00545
UR  - http://hdl.handle.net/10044/1/45881
VL  - 98
ER  -
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