Please I am modelling a triple hurdle market participation decision. The first model is about the production decision, second the market participation decision and the third intensity of participation. My data set is such that I have no values for non-producers in terms of their total output and market participation decision. I using the Roodman's "cmp" command to fit the three models simultaneously, but the following is the output "no observation" r(2000). Please, how do I correct this.
cmp(cpp=age gender hhsize depratio educy exp fsize distmkt pos omt ami income ofi ownmob ownrad landown credit ext c_price yendi mion kum)(MP=age gender hhsize depratio educy exp fsize distmkt pos omt ami t_output income ownmob ownrad landown credit c_price yendi mion kum)(output=age gender hhsize depratio educy exp fsize income t_output ownmob ownrad landown credit ext c_price yendi mion kum),indicators("cpp*$cmp_probit" "MP*$cmp_probit" "output*$cmp_trunc")difficult nonrtolerance qui
cmp(cpp=age gender hhsize depratio educy exp fsize distmkt pos omt ami income ofi ownmob ownrad landown credit ext c_price yendi mion kum)(MP=age gender hhsize depratio educy exp fsize distmkt pos omt ami t_output income ownmob ownrad landown credit c_price yendi mion kum)(output=age gender hhsize depratio educy exp fsize income t_output ownmob ownrad landown credit ext c_price yendi mion kum),indicators("cpp*$cmp_probit" "MP*$cmp_probit" "output*$cmp_trunc")difficult nonrtolerance qui
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