Beresteanu, Arie; Molchanov, Ilya; Molinari, Francesca - Centre for Microdata Methods and Practice (CEMMAP) - 2010
This paper illustrates how the use of random set theory can benefit partial identification analysis. We revisit the origins of Manski's work in partial identification (e.g., Manski (1989, 1990)), focusing our discussion on identification of probability distributions and conditional expectations...