hi, i have an ordered probit model where i estimate the probability of survey participants to have selected a certain category of a censored latent variable from a survey (the latent variable is the evolution of consumer prices). the latent variable is of course continuous, the survey however just proposes 5 ordered qualitative categories for the evolution of consumer prices in the next twelve months. can you suggest me a way to quantify the underlying latent variable supposing that survey participants are answering the survey having certain thresholds (cut-off points) in mind? i am glad about every hint!
best regards, ak -- View this message in context: http://r.789695.n4.nabble.com/quantifying-the-latent-variable-of-an-ordered-probit-tp4650237.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
