i am doing research on determinants of crop diversity and poisson regression result is as follows:
poisson cereal farmsize gender age hhsize impseed hhplotdis irr awarness livestock i.oxen i.ti e
> du income es numplot productio sccs, vce(robust)
Iteration 0: log pseudolikelihood = -289.59357
Iteration 1: log pseudolikelihood = -289.55671
Iteration 2: log pseudolikelihood = -289.55668
Iteration 3: log pseudolikelihood = -289.55668
Poisson regression Number of obs = 200
Wald chi2(22) = .
Prob > chi2 = .
Log pseudolikelihood = -289.55668 Pseudo R2 = 0.1392
goodness of fit result
poisgof
Deviance goodness-of-fit = 2.75826
Prob > chi2(177) = 1.0000
Pearson goodness-of-fit = 2.713196
Prob > chi2(177) = 1.0000
my question is is it possible to say the model is correct with missing wald chi2(22)?
thank you in advance
poisson cereal farmsize gender age hhsize impseed hhplotdis irr awarness livestock i.oxen i.ti e
> du income es numplot productio sccs, vce(robust)
Iteration 0: log pseudolikelihood = -289.59357
Iteration 1: log pseudolikelihood = -289.55671
Iteration 2: log pseudolikelihood = -289.55668
Iteration 3: log pseudolikelihood = -289.55668
Poisson regression Number of obs = 200
Wald chi2(22) = .
Prob > chi2 = .
Log pseudolikelihood = -289.55668 Pseudo R2 = 0.1392
goodness of fit result
poisgof
Deviance goodness-of-fit = 2.75826
Prob > chi2(177) = 1.0000
Pearson goodness-of-fit = 2.713196
Prob > chi2(177) = 1.0000
my question is is it possible to say the model is correct with missing wald chi2(22)?
thank you in advance
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