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Wild Bootstrap Inference for Wildly Different Cluster Sizes (replication data)
The cluster robust variance estimator (CRVE) relies on the number of clusters being sufficiently large. Monte Carlo evidence suggests that the rule of 42 is not true for... -
Forecasting With the Standardized SelfâPerturbed Kalman Filter (replication d...
We propose and study the finite-sample properties of a modified version of the self-perturbed Kalman filter of Park and Jun (Electronics Letters 1992; 28: 558-559) for the...
