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From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

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

Subject |
RE: st: RE: Multiple responses on plot level data |

Date |
Thu, 21 Apr 2005 19:14:25 +0100 |

Your reference to dummies threw me. As I see it, your 8 categories are (say) ----- binary ----- decimal fert man fanyahu 0 0 0 0 0 0 1 1 0 1 0 2 0 1 1 3 1 0 0 4 1 0 1 5 1 1 0 6 1 1 1 7 which you can thus construct as (e.g.) 4 * fert + 2 * man + fanyahu Nick n.j.cox@durham.ac.uk Ronnie Babigumira > Thanks Nick, sorry for the lack of clarity, measure choice is > my response (dependent is the term Im more farmiliar with) > variable (s). I do have a set of predictor (independent) > variables which I did not include in my email. > > Yes I did consider logit models for individual responses. I > also considered constructing a dependent variable indicating > whether or not any one of the choices was made. > > However, I have been thinking about the mlogit. So you say 8 > possible choices, would that mean 1, 2, 3 for fert, man, > fanyaju rspv and then 5/8 for the diffrent combinations of > each. If so, doesnt isnt this a problem because the classes > are not exactly independent in the sense that (say 5 if > choices 2 and 3 were made on the plot) n.j.cox@durham.ac.uk > I am not clear whether you regard > measure choice as a predictor or a response. > And in any case I can imagine > situations in which both views are reasonable. > Soil erosion loss could depend on > conservation measures, which choice of conservation > measures might depend on many things. > > If it were the latter, I think it is up to you how you define > a composite response. Nor is it clear to me that > you need do that. If this were my problem > I would look at > > (a) logit models for the individual responses > > and > > (b) a multinomial logit for the 8 possible choices of > fert[iliser?] > man[ure?] > and fanyaju[???]. > > If conservation measures are predictors, you would > need to look not just at dummies but also at interactions. Ronnie Babigumira > > Something has been slowly eating away at me and at this point I have > > decided to seek help from the list. I have plot level data on use of > > soil conservation measures and would like to construct a "single" > > dependent variable for each household for use in a > multinomial logit. > > The data look something like this > > > > hhd_id plnum fert man fanyaju > > 1001 1 0 1 0 > > 1001 2 0 1 1 > > 1001 3 1 0 1 > > 1002 1 0 0 0 > > 1002 2 1 1 1 > > 1003 1 1 0 0 > > > > Where > > hhd_id: Household id > > plnum: Plot number (a household may have more than one plot) > > And fert, man and fanyaju are 3 possible soil conservation > measures a > > household may undertake (it is possible that more than one > measure can > > be applied to a plot) > > > > My question is how do I go about with constructing a single > dependent > > variable for use in a multinomial logit in this case (and > > would this be > > correct). I have considered the simplest case where I > > construct a simple > > dummy for each plot indicating whether or not a household > > used at least > > one of the measures however, I feel that it would be more > > interesting if > > I could say something on the determinants for the use of > the different > > measures * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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