Sequential Self-Selection of Program Adherence
Ron Mittelhammer (),
Robert Rosenman () and
No 2011-7, Working Papers from School of Economic Sciences, Washington State University
Conceptual modeling and empirical analysis of individuals’ sequential self-selection of adherence to voluntary treatment or education programs is an ongoing and unsettled area of inquiry. Both the representation of the decision process and the implementation of econometric methods for estimating the unknowns of such models are difficult, especially when the decision process allows repeated exit and reentry to the program. We present and apply a conceptual model that is both consistent with the random utility model structure and capable of representing complex patterns of self-selected adherence while being relatively straightforward to specify and implement empirically. The approach is based on a "distributed error" form of stochastic heterogeneity that exploits the use of singular normal distributions and leads to efficiency in the representation and computation of maximum likelihood estimates of model parameters. The model can be straightforwardly applied to non-normal distributions as well, and to more elaborate nonlinear specifications of the systematic drivers of self-selected adherence decisions.
Keywords: sequential selection; random utility model; program adherence; compliance; distributed error stochastic heterogeneity (search for similar items in EconPapers)
JEL-codes: C35 C5 C50 I10 (search for similar items in EconPapers)
Pages: 39 pages
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://faculty.ses.wsu.edu/WorkingPapers/rosenman/WP2011_7.pdf First version, 2011 (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:wsu:wpaper:rosenman-11
Access Statistics for this paper
More papers in Working Papers from School of Economic Sciences, Washington State University Contact information at EDIRC.
Bibliographic data for series maintained by Danielle Engelhardt ().