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marginprobit4akie
2011 Apr 25
0
probit regression marginal effects
...ble consists of 9 levels
> ttt <- as.data.frame(ttt)
> xbar <- as.matrix(mean(cbind(1,ttt[1:19]))) #1:19 position of variables in dataframe ttt
> betaprobit4AKIE <- probit4AKIE$coefficients
> zxbar <- t(xbar) %*% betaprobit4AKIE
> scalefactor <- dnorm(zxbar)
> marginprobit4AKIE <- scalefactor * betaprobit4AKIE[2:20] #2:20 are the positions of variables in the output of the probit model 'probit4AKIE' (variables need to be in the same ordering as in data.frame ttt), the constant in the model occupies the first position
> marginprobit4AKIE #in this step I obt...