I have a survey data where respondents were asked if they or an immediate family member had previously used a lawyer and, for those who said yes, they were then asked if they had ever sued.
I want to estimate the likelihood of suing using a logit or probit model but I am concerned that my estimates will be biased because answers to question are only observed for those who have used a lawyer (I believe this would be a case of "incidental or indirect selection" as described by Berk, 1983).
Of course it is possible to sue without a lawyer - small claims court - thus the screening question asking about previous use of a lawyer is not an appropriate screen but the data are what they are I have to make the most of them.
Do I attempt to address this using a heckman type adjustment or can I safely ignore it and proceed with logit/probit? Is there a better alternative?
Reference Berk, R. A. (1983). An introduction to sample selection bias in sociological data. American Sociological Review, 48(3): 386-398.