The Normal Mixture Decomposition
This talk will present the program for univariate normal mixture maximum likelihood estimation developed by the author. It will demonstrate the use of -ml lf- estimation method, as well as a number of programming tricks, including global macros manipulation and dynamic definition of the program to be used by -ml-. The merits and limitations of Stata's -ml- optimizer will be discussed. The application to income distribution analysis with a real data set will also be shown.
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