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The Normal Mixture Decomposition

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Author Info
Stanislav Kolenikov () (University of North Carolina at Chapel Hill)

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Abstract

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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Publisher Info
Paper provided by Stata Users Group in its series North American Stata Users' Group Meetings 2001 with number 1.3.

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Date of creation: 15 Jan 2001
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Handle: RePEc:boc:asug01:1.3

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  1. Damjan Pfajfar & Emiliano Santoro, 2007. "Heterogeneity, Asymmetries and Learning in InfIation Expectation Formation: An Empirical Assessment," Money Macro and Finance (MMF) Research Group Conference 2006 123, Money Macro and Finance Research Group. [Downloadable!]
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