[Limdep Nlogit List] grouped data regression

[Andreas Drichoutis]

I still don't understand how to structure this in limdep. Let's take an
example. Assume y* is reported for group 1 like this: y*<1, 1<=y*<15,
y*>=15. For group 2 y* is reported as: y*<4, 4<=y*<18, y*>=18. How do you
set the limit for the extreme J category? Is it the same as for the J-1
category or should I leave it blank? Is the below coding correct?

 


y

Group

Limit1

Limit2


1

1

1

 


2

1

15

 


3

1

15

 


1

2

 

4


2

2

 

18


3

2

 

18


2

2

 

18


3

1

15

 


2

1

15

 

 

I did the above coding and then run the syntax:

 Grouped ; lhs=y ; rhs=one,x1,x2 ; limits=limit1,limit2 $

 

But I get this error: 

Error    49: GROUPED Y > # limits + 1. Bad data or too few limit values.

What am I doing wrong?

 

Andreas 

 

-----Original Message-----
From: limdep-bounces at limdep.itls.usyd.edu.au
[mailto:limdep-bounces at limdep.itls.usyd.edu.au] On Behalf Of William Greene
Sent: Friday, May 07, 2010 1:23 PM
To: Limdep and Nlogit Mailing List
Subject: Re: [Limdep Nlogit List] grouped data regression

 

Andreas. This appears not to be reported in the manual. 

But, the boundary values in the GROUPED_DATA command may be

variables rather than fixed values (or a mixture of the two).

This will allow you to do the setup you are looking for. 

Note that there must be the same number of bins for both

groups.

/Bill Greene

 

 

----- Original Message -----

From: "Andreas Drichoutis" <adrihout at aua.gr>

To: "Limdep and Nlogit Mailing List" <limdep at limdep.itls.usyd.edu.au>

Sent: Thursday, May 6, 2010 2:15:26 PM GMT -05:00 Colombia

Subject: [Limdep Nlogit List] grouped data regression

 

Dear all,

 

 

 

I have an interval category dependent variable that differs for two

treatments e.g. the limits are 25, 35, 45, 55 for one treatment and 20, 30,

40, 50 for another treatment. How do I combine these in a single grouped

data regression model? The way I read it in E27-61, this is not possible. Is

there a workaround?

 

 

 

Yours,

 

Andreas Drichoutis

 

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