When using margins to evaluate the effect of a continuous variable in a non-linear model (e.g., logit, nbreg), it is common to look at the marginal effect over a range of values of such variable. On occasion, I find that the confidence interval (95) of the predicted marginal effect of a very low value of the variable in question overlaps with the confidence interval (95) of the predicted marginal effect of a very high value of the same variable. This is the case even though the coefficient of the variable in the model is highly significant (p-value .01) and has a confidence interval with a small range that is different than 0. So, if a plot the results with marginsplot, for example, I can see that the lower end of the CI for a high value of the variable overlaps with the higher end of the CI for a low value of the variable. Can I still interpret the statistically significant coefficient in the model as implying that low and high values of the continuous variable are different?
Related Posts with Confidence intrevals and marginal effects significance for continuos variables in non-linear models
psmatch2 and _weightHi stata-users, I haven't quite been able to figure out some of the variables psmatch2 produces. I …
how to prepare discrete choice experiment dataset for analysis?*Any resources on how to prepare discrete choice experiment dataset for analysis? My data looks like…
Tobit regressionHi i am running a tobit regresison for data across 2 years 2007-2008 ( they were 2 individual datase…
transform/reshape dataHi all, I have data at the individual level which looks like the following: Code: * Example gene…
Using collapse to calculate standard errors with survey dataHello, I have been trying to use -collapse- to calculate standard errors of the mean, binomial (seb)…
Subscribe to:
Post Comments (Atom)
0 Response to Confidence intrevals and marginal effects significance for continuos variables in non-linear models
Post a Comment