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 set-up. 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 developa test for the appropriate level of clustering, which 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 spatiallycorrelated data.
AU - Ibragimov,R
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 -