If I understand what you're saying, you have an ordinal probit
specification and you want to change your explanatory variable M such that
the predicted value (or expected category) of your dependent variable e
increases by 2. I think with Clarify, you'd need to do this 'by hand',
increasing M gradually until the prediction came out as you wanted it.
Doing this via a bisection search would be the quickest strategy I'd
guess.
Gary
---
Gary King
Institute for Quantitative Social Science
Harvard University, 34 Kirkland St, Cambridge, MA 02138
http://GKing.Harvard.Edu, email: King(a)Harvard.Edu
Direct 617-495-2027, Assistant 495-9271, eFax 812-8581
On Mon, 25 Apr 2005, Gary King wrote:
---------- Forwarded message ----------
Date: Mon, 25 Apr 2005 08:28:59 -0500 (CDT)
From: Nicolas EPELE <e_nico77(a)yahoo.com>
To: King(a)Harvard.Edu
Subject: Professor Gary King, request
Professor Gary King:
My name is Nicolas Epele. I'm writing from
Argentina, I'm economist from Universidad Nacional de La Plata and I'm trying
to use the Clarify package in Stata. I'm trying to do the next simulation: I
have a dataset of micro-data with years of schooling, e, an characteristics,
M. I'm running the ordered probit model OP(e | M). So would like to generate
an e' vector of years of schooling with a mean 2 years greater than the mean
of vector e, but preserving the relation established in the model. So if I
run OP(e' | M), the coefficient will be similar to OP(e | M) model. I'm
writing to know if Clarify can do that.
Thanks in advance and thank you very much for
sharing the Clarify package. Sorry for my english.
Faithfully yours, Nicolas
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