Dear experts:
I have four dependent variables in proportion i.e. share of area under four crops by county over time (15years). and the independent variables are in proportion as well, which are climatic variables ( temperature and rainfall- standardized against the optimum values) I am using the Fractional multinomial logit model to see the impact of climate variables on share of area under each crop over time.
I ran the command :
My first concern: Does this make sense to include the proportions on Both sides of equation?
If yes, how can I interpret the results?
Here are the results:
Many Thanks in advance.
Kind Regards
I have four dependent variables in proportion i.e. share of area under four crops by county over time (15years). and the independent variables are in proportion as well, which are climatic variables ( temperature and rainfall- standardized against the optimum values) I am using the Fractional multinomial logit model to see the impact of climate variables on share of area under each crop over time.
I ran the command :
Code:
fmlogit prop_wArea Prop_mArea Prop_rArea Prop_cArea,eta(MinSt_wVeg MaxSt_wVeg RFSt_wVeg)
If yes, how can I interpret the results?
Here are the results:
Code:
Iteration 0: log pseudolikelihood = -696.39314
Iteration 1: log pseudolikelihood = -671.01186
Iteration 2: log pseudolikelihood = -664.43543
Iteration 3: log pseudolikelihood = -663.98069
Iteration 4: log pseudolikelihood = -663.9614
Iteration 5: log pseudolikelihood = -663.96139
ML fit of fractional multinomial logit Number of obs = 681
Wald chi2(9) = 394.61
Log pseudolikelihood = -663.96139 Prob > chi2 = 0.0000
--------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------+----------------------------------------------------------------
eta_Prop_mArea |
MinSt_wVeg | -.5663348 .1264426 -4.48 0.000 -.8141577 -.3185118
MaxSt_wVeg | -1.924901 .1990114 -9.67 0.000 -2.314956 -1.534846
RFSt_wVeg | .1774501 .1763718 1.01 0.314 -.1682324 .5231326
_cons | 1.878999 .2145753 8.76 0.000 1.458439 2.299559
---------------+----------------------------------------------------------------
eta_Prop_rArea |
MinSt_wVeg | -2.334554 .4095512 -5.70 0.000 -3.137259 -1.531848
MaxSt_wVeg | .3838752 .3938929 0.97 0.330 -.3881406 1.155891
RFSt_wVeg | .6781816 .1190355 5.70 0.000 .4448763 .9114869
_cons | -1.662554 .3163261 -5.26 0.000 -2.282542 -1.042566
---------------+----------------------------------------------------------------
eta_Prop_cArea |
MinSt_wVeg | .2229872 .0920443 2.42 0.015 .0425836 .4033907
MaxSt_wVeg | -1.240566 .3151324 -3.94 0.000 -1.858214 -.6229178
RFSt_wVeg | -2.427474 .4302069 -5.64 0.000 -3.270664 -1.584284
_cons | -.55246 .3477961 -1.59 0.112 -1.234128 .1292079
--------------------------------------------------------------------------------
Many Thanks in advance.
Kind Regards
