The use of sampling weights in the M-quantile random-effects regression: an application to PISA mathematics scores

@inproceedings{Spagnolo2018TheUO,
  title={The use of sampling weights in the M-quantile random-effects regression: an application to PISA mathematics scores},
  author={Francesco Schirripa Spagnolo and Nicola Salvati and Antonella D'agostino and Ides Nicaise},
  year={2018}
}
M-quantile random-effects regression represents an interesting approach for modelling multilevel data when the interest of researchers is focused on the conditional quantiles. When data are based on complex survey designs, sampling weights have to be incorporate in the analysis. A pseudo-likelihood approach for accommodating sampling weights in the M-quantile random-effects regression is presented. The proposed methodology is applied to the Italian sample of the “Program for International… CONTINUE READING

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