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  • The DID design is a powerful tool for causal effects analysis. It depends on a crucial assumption, the parallel trend assumption.
  • This video demonstrates how to interpret the
  • Let's say that we have loaded this data set into
  • Learn how to use the *didregress* and *xtdidregess* commands in
  • This is a very helpful video to understand and run the "reg" command in

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Let's open the dataset I create. It is about the marital status information for people living in Illinois and Indiana. The no-fault divorce ... Here is how you analyse multiple response questions using mrtab in The Learn how to use the *hdidregress* and *xthdidregress* commands in

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