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Mixed models: A simulation approach


  • Isabel Cañette

    (StataCorp LP)


Simulating data is a powerful tool for understanding statistical models and for spotting identification problems. I will use simulation techniques to explain the building blocks for linear mixed models, and I will also show how to estimate the parameters using the xtmixed command. Using these basic blocks, I will explain how more-complex models can be constructed. Finally, I will explain some nice (but not obvious) applications of xtmixed.

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  • Isabel Cañette, 2011. "Mixed models: A simulation approach," Mexican Stata Users' Group Meetings 2011 10, Stata Users Group.
  • Handle: RePEc:boc:msug11:10

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    References listed on IDEAS

    1. Qi Zhang, 2003. "DAD, an Innovative Tool for Income Distribution Analysis," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(3), pages 281-284, December.
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