Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down at the end of May, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
"Alvarez,Sergio" <sergioal@ufl.edu> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: nested logit tree |

Date |
Mon, 28 Nov 2011 11:52:14 -0500 |

Makes sense. Check this website: http://www.stata.com/support/faqs/stat/nlogit.html It's an example using the restaurant.dta file.

All firms R&D vs. no R&D buy with R&D | sell with R&D buy no R&D | sell no R&D And then you have a dummy variable that indicates the actual choice.

Sorry if I'm being unclear, it just challenging to explain this. Sergio On Mon, 28 Nov 2011 17:33:59 +0100, Solon Moreira wrote:

Hi Sergio, Thanks for your email. In fact I want a decision model that has 4 possible outcomes: a buyer with R&D, a buyer without R&D, a supplier with R&D and a supplier without R&D. So in the end I have 4 possible alternatives in my data. I had a look in the restaurant data, but it is not exactly what I want, I think I need 2 levels. I could also calculate different logit models but I am not sure that is the bestsolution. I am expecting that the effect of some of my covariateswillhave a different direction in affecting the likelyhood of a firm having R&D or not depending on the side of the market that it it (buyer of supplier). Thanks, Solon ________________________________________ From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] On Behalf Of Alvarez,Sergio [sergioal@ufl.edu] Sent: Monday, November 28, 2011 5:02 PM To: statalist@hsphsun2.harvard.edu Subject: Re: st: nested logit tree Solon, I may be misunderstanding, but it looks like you want to model a decision which has only two possible outcomes: firm is a supplier orfirm is a buyer. If that is the case, you probably should use aprobitor logit rather than a nested logit. You can also model whether the firm has an R&D department (yes or no) using a similar approach. The nested and conditional logits are used when you have an agent (a firm) making a choice among many alternatives (more than two). Take a look at the restaurant.dta sample dataset and the nlogit help file and it will become clear. Best, Sergio On Mon, 28 Nov 2011 14:39:19 +0100, Solon Moreira wrote:Dear Stata list readers,This is a question regarding the way that I should structure thetreeof a nested logit model to get the right output. I have a dataset consisting of 1200 firms that buy and sell technologies. I am trying to run a model in which in the first level I can observe how firm-specific variables affect the likelihood of being a supplier instead of a buyer. The way that my model is structured now this part of the nest is shown in my stata output with no problem. However, I am having problem with my second level, I would like the output to show how some alternative specific variables affect thelikelihood that buyers and suppliers will have an R&D department.So,I want to produce an output in which the first level explains the likelihood of being a buyer or a supplier and second level the likelihood that the buyer will or not have an R&D department and the supplier will or not have an R&D department. As I mentioned, I am able to produce an output in which I can observe the first level, but in the second level instead of comparing buyers that have R&D with buyers that do not have it (and the same wit! h suppliers), my output shows all the 4 final alternatives in the same model, taking one of them as the baseline. That is the command I am using to build the tree: nlogitgen r&d= final_outcome(buyer_n: 1, buyer_w: 2, supplier_n: 3, supplier_w: 4)nlogitgen buyer_or_supplier= r&d(buyer: buyer_n | buyer_w ,supplier:supplier_n | supplier_w) I could not figure out a way to compare only buyers with and without R&D and suppliers with and without R&D in the second level. Any suggestions are more than welcome Very best, Solon * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/-- Sergio Alvarez Food and Resource Economics University of Florida * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

-- Sergio Alvarez Food and Resource Economics University of Florida * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: nested logit tree***From:*Solon Moreira <sm.ino@cbs.dk>

**Re: st: nested logit tree***From:*"Alvarez,Sergio" <sergioal@ufl.edu>

**RE: st: nested logit tree***From:*Solon Moreira <sm.ino@cbs.dk>

- Prev by Date:
**st: Re: Cleaning messy data** - Next by Date:
**Re: st: Issues with xtabond2** - Previous by thread:
**RE: st: nested logit tree** - Next by thread:
**st: Missing Wald test with -cluster- option** - Index(es):