[Limdep Nlogit List] Pds specification for choice modeling with unbalanced datasets

[Iris Vanermen]

Many thanks for your reply. The issue was resolved!

-----Original Message-----
From: Limdep <limdep-bounces at mailman.sydney.edu.au> On Behalf Of William Greene via Limdep
Sent: woensdag 28 juli 2021 1:10
To: Limdep and Nlogit Mailing List <limdep at mailman.sydney.edu.au>
Cc: William Greene <wgreene at stern.nyu.edu>
Subject: Re: [Limdep Nlogit List] Pds specification for choice modeling with unbalanced datasets

Iris. The unbalanced choice model has a complicated data set.  Observations (rows of data) are grouped within a choice task, and there is a panel of choice tasks.  NLOGIT handles this case by borrowing part of the process from the ordinary panel data routine.  The match of the data to the specification ends up being checked twice, once as if it were an ordinary panel and a second time by the RPLogit routine. (There is a description in Section N29.10 in the manual how this is set up - you would have used the guide there to set up the data.)  The diagnostic you received is generated by the first pass through the data.  But, this can be ignored.  It is the second pass that actually tallies the panel setup for RPLogit.  So, if your data are arranged as the estimator expects, you can ignore that diagnostic. (It should be a warning, not an error.) Regards, Bill Greene

On Tue, Jul 27, 2021 at 6:25 PM Iris Vanermen <iris.vanermen at kuleuven.be>
wrote:

> Dear Mr., Ms.,
>
> I am trying to estimate a random parameters logit model in which the 
> number of choice tasks differs between individuals. For this, I am 
> trying to adjust the Pds specification with a variable indicating the 
> number of choice cards per individual but I get following error: "Error 1081:
> Mismatch of # indivs. and number implied by groups" that I do not seem 
> to be able to resolve. How should I specify Pds in case of different 
> number of choice cards per individual?
>
> Many thanks!
> Best regards,
> Iris Vanermen
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--
William Greene
Department of Economics, emeritus
Stern School of Business, New York University
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