For more details on the Aitchison book, which sells under a slightly
different title, see
http://www.blackburnpress.com/stanofcoda.html
A standard graphic for your 3-D response data is variously known as a
triangle
triangular
trilinear
triaxial
trinomial
ternary
three-element
mixture or
barycentric
plot, chart, graph or diagram. A Stata implementation is in -triplot-
from SSC.
Stata graphics freaks might note that it is really a scatter plot in
disguise.
A project of mine for 2008, already started, is to publish Stata
programs for alternatives
to such plots, all using some kind of transformation, including some
suggested by Aitchison.
Nick
[email protected]
Verkuilen, Jay
>>I would like to estimate the following model:
i have n firms, each firm has a bundle of 3 products, characterized by
the different resource allocation for each product, measured in % which
sums up to 100%. That is, e.g. firm 1 has 20% of production devoted to
product 1, 30% to product 2, etc., 100% in total. I would like to
explain the resource allocation choice by a firm. Thus, the dependent
variable is actually 3 variables, which are continuous variables (% of
resources) and are interdependent.
Which econometric model should I use and how to handle this in stata?
Thanks very much in advance, Regards, Elena<<
As Maarten noted, you have compositional data. Might I suggest looking
at the book by John Aitchison, Compositional Data Analysis (2003)? Also
Fry, J.M., Fry, T.R.L. and K.R. McLaren, (1996), "The Stochastic
Specification of Demand Share Equations: Restricting Budget Shares to
the Unit Simplex", Journal of Econometrics, 73, 377-385.
The Dirichlet distribution is convenient but has a very restrictive
covariance structure, because it is fully determined by its marginals.
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