ivreg or ivprobit for binary variables?

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I am estimating causal effect of participation on training on employment, where participation is binary variable, outcome (employment) is binary and existence of training in a city is binary. Is ivprobit function in R suitable for this non-linear model or I can use ivreg?

I tried ivprobit but I get error message in R

Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : 
  contrasts can be applied only to factors with 2 or more levels

I would appreciate information or links for ivprobit, I am not sure where to include city and year fixed effects in the code. Thanks.

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