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From |
Andreas Kuhn <akuhn@access.unizh.ch> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Marginal Effects |

Date |
Mon, 21 Jun 2004 14:40:34 +0200 |

peter harper wrote:

Dear StatalistDear Peter,

I am trying to do marginal effects after oprobit. I have run a oprobit regression on a dependent

variable, which is called price3. Its other

categories

are price2 and price1, which obviously I have not

used. So after I have run

. oprobit price3 x1 x2 x3 I issued the command

. mfx compute, predict(outcome(3))

the message I got was put a value of price3 or

#1,#2...

or worde to that effect

so I tried

. mfx compute, predict(outcome(#3))

the message I then got was there is no category 3,

there are only 2 categories.

I suspect, this is because this price3 itself is

categorised under 0 and 1. 0 is people who do not

think price is important and 1 is for people who

think

price is important.

so I ran a marginal effects using

.mfx compute, predict (outcome(#2)

All I should want is M.E. of price3 is it not? as I

have run the oprobit using that variable. So I ran

. mfx compute, predict(outcome(#2))

Is that the right thing to do, as I want the M.E.

for

the regression I ran with the dependent variable as

price3.

Please confirm, if I am doing it correctly.

Please let me know if you need further clarification.

Thanks in advance

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You should install the - spost - package (written by Jeremy Freese and Scott Long; by the way: they have written a very useful book concerning the estimation and the interpretation of the ordered probit model with Stata, among others. "Regression Models for Categorial Dependent Variables Using Stata", published by Stata Press 2001.), which is available for version 7 or 8.

Having installed this package, you can then use the command - prchange - for estimating marginal effects of the ordered probit model.

Best regards, Andreas

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**References**:**st: Marginal Effects***From:*peter harper <peterhharper@yahoo.co.uk>

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