Multilevel time series modelling of mobility trends in the Netherlands for small domains

Author:

Boonstra Harm Jan1,van den Brakel Jan12,Das Sumonkanti12

Affiliation:

1. Statistical Methods Statistics Netherlands Heerlen Netherlands

2. Quantitative Economics Maastricht University Maastricht Limburg Netherlands

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Reference45 articles.

1. Bayesian Estimators for Small Area Models when Auxiliary Information is Measured with Error

2. Bell W.R.&Huang E.T.(2006)Using the t‐distribution to deal with outliers in small area estimation. InProceedings of statistics Canada symposium 2006.

3. Multilevel hierarchical Bayesian versus state space approach in time series small area estimation: the Dutch Travel Survey

4. Boonstra H.J.(2020)mcmcsae: Markov Chain Monte Carlo small area estimation. R package version 0.5.0.

5. Boonstra H.J.&van den Brakel J.(2018)Hierarchical Bayesian time series multilevel models for consistent small area estimates at different frequencies and regional levels. Statistics Netherlands discussion paper December 4 2018.

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