[Limdep Nlogit List] V/v: nested logit inclusive value restrictions
ho quoc Chinh
hoqchinh at yahoo.com.vn
Fri Jul 3 13:32:54 EST 2009
Dear Kandice Kleiber,
In principle, the specification of "tree= cs(corn, soy), wh(wheat), ot(other)" and that of "tree = cs(corn, soy), wheat, other" are almost the same. Nevertheless, the former is often used in NLOGIT reference guide.
NLOGIT will automatically recognize that your tree structure is partial degeneracy if there exist at least one nest with only one elemental alternative. For clearly understanding the differences between RU1 and RU2, you should refer to the following articles:
1.Hensher, D. A. & Greene, W. H. (2002) Specification and Estimation of the Nested Logit Model: Alternative Normalisations. Transportation Research Part B: Methodological, Vol. 36, 1-17.
2.Bhat, C. R., Sen, S. & Eluru, N. (2009) The Impact of Demographics, Built Environment Attributes, Vehicle Characteristics, and Gasoline Prices on Household Vehicle Holdings and Use. Transportation Research Part B: Methodological, Vol. 43, 1-18.
If you use RU1 as a chosen nomalization, then you should set the IV values of degenerate nests to 1.0 by using the command: IVset:(wh,ot)=1.0;
On the other hand, if RU2 is used, it's no need to set the IV values to 1.0 since it's done automatically by Nlogit.
Though RU2 is prefered to be the 'standard' normalization, it's sometimes hard to converge, compared to RU1 specification.
RU3 is the same as RU2 as pointed out in the Hensher's and Greene's paper (the above article) as well as in NLOGIT reference guide (Chapter 8).
Finally, since your dependent variable is proportion, there should be some command specification to tell NLOGIT the model type (Discrete choice or Proportion or .....Frequency or Rank?) I did not find any direct command for this specification in the guide reference though there are some pictures in chapter 3 (N3-8) and chapter 5 (N5-2) show this option.
If you are still confuse after finish reading these above articles and my suggestions, contact me for more information. I will send you the Nlogit command for model used in Hunt's (2000) paper and Hensher's and Greene's (2002) paper. The specific example in these papers will help you to understand more about the way we specify Nested Logit Model.
Nagoya Uninversity, Graduate School of Engineering
Transportation Engineering and Planning lab, Department of Civil Engineering.
--- Thứ 6, 3/07/09, Kandice L. Kleiber <kleiberk at onid.orst.edu> đã viết:
Từ: Kandice L. Kleiber <kleiberk at onid.orst.edu>
Chủ đề: [Limdep Nlogit List] nested logit inclusive value restrictions
Đến: "Limdep and Nlogit Mailing List" <limdep at limdep.itls.usyd.edu.au>
Ngày: Thứ Sáu, 3 tháng 7, 2009, 8:36
I'm struggling with setting up my nested logit model.
Currently my tree = cs(corn, soy), wheat, other.
My dependent variable is a proportion, and my independent variables
are all observation specific (do not vary across choices).
However, after doing some reading (Hunt, 2000), I think that I have
not been using the restrictions that might need to be set in order to
estimate the model correctly.
I'm wondering (and I'm not sure if LimDep reads this the same way) if
I should change my tree structure to
tree= cs(corn, soy), wh(wheat), ot(other)
to indicate that my model is a partially degenerate model. After
reading Hunt (2000) (deals particularly with partial degeneracy) I
think I need to know more about the normalization that is going on in
the NLOGIT program.
I've come across the RU1, RU2, and RU3 commands. Is one of the these
the default for the NLogit program? I think that I would want to use
RU1 - what is an example of where someone would choose to use RU2 and
Finally, I think I would need to set the restriction on the inclusive
value parameters such that IV(wh)=IV(ot)=1 and then let LimDep
estimate IV(cs). LimDep won't restrict those parameters on it's
own ... right?
Sorry for the confusion, but thank you for your help!
Kandice L. Kleiber
Graduate Teaching Assistant
Department of Economics
Oregon State University
e: kleiberk at onid.orst.edu
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