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st: RE: Microdata Adjustment through re-weighting

From   "Nick Cox" <>
To   <>
Subject   st: RE: Microdata Adjustment through re-weighting
Date   Sat, 16 May 2009 17:04:14 +0100

Similar-sounding problems have been attacked through a technique that
uses a much simpler algorithm and goes under many different names. 

See -ipf- and -mstdize- on SSC and any encyclopaedic survey of
categorical data analysis. 


Andreas Peichl

I'm interested in re-weighting a microdata sample to fit aggregate
data based on the Minimum Information Loss (MIL) principle (see Merz
Based on information theory this principle satisfies the desired
constraint on the weighting factors to be computed. For the consistent
solution which simultaneously adjusts hierarchical microdata (e.g.
and personal information), a fast numerical solution by a specific
Newton-Raphson (MN) procedure with a global exponential approximation is
proposed by Merz (1994). 
This procedure involes numerically solving of a set of non-linear

I'm aware of
I was wondering if it were possible to solve a set of non-linear
with Mata (So far, I have't used Mata but I'd like to invest the time to
learn it if it helps me solving this problem)? If yes, any hints on how
tackle this problem are highly appreciated.  
Does somebody know any other programs for Stata/Mata that allow
of microdata?

Merz, Joachim (1994): Microdata Adjustment by the Minimum Information
Principle. Unpublished.

Dr. Andreas Peichl

Research Associate

IZA - Forschungsinstitut zur Zukunft der Arbeit GmbH 
IZA - Institute for the Study of Labor 
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