weighting in minimum distance estimation to mitigate the finite-sample bias caused by sampling errors in the weighting matrix …. This paper introduces a new weighting scheme that combines cross-fitting and regularized weighting matrix estimation. We … weighting matrix sampling errors. Additionally, we demonstrate that some economic models in the earnings dynamics literature …

weighting in minimum distance estimation to mitigate the finite-sample bias caused by sampling errors in the weighting matrix …. This paper introduces a new weighting scheme that combines cross-fitting and regularized weighting matrix estimation. We … weighting matrix sampling errors. Additionally, we demonstrate that some economic models in the earnings dynamics literature …

estimation in the local models used a weighting matrix accommodating the proximity among locations. Iterative Fisher scoring is …

estimation in the local models used a weighting matrix accommodating the proximity among locations. Iterative Fisher scoring is …

estimation in the local models used a weighting matrix accommodating the proximity among locations. Iterative Fisher scoring is …