Worklife Expectancies Of Railroad Workers

Abstract

No abstract available.

Worklife Expectancy via Competing Risks/Multiple Decrement Theory with an Application to Railroad Workers

“…For the Markov model, such notation is in place. The innovation of Skoog-Ciecka (1998 and this paper is to use railroad actuarial data to refine and restrict estimates of worklife. Fortunately the actuarial science literature provides notation and results facilitating this exercise; we follow Bowers, et al, (1987) and Jordan (1991).…”

“…In (16) ID x ,s YA denotes the random variable measuring additional time spent in railroad activity. Transitions from a (active) and i (inactive) occur at the midpoint of any year using economy-wide transition probabilities until a railroad worker qualifies for a railroad retirement and railroad transition probabilities thereafter (Krueger, 2004;Skoog and Ciecka, 1998, 2001a, 2001b, 2004. 5 The boundary conditions and recursions in (16) define the pmf's.…”

“…The Markov or multiple increment/multiple decrement model has been employed by all three groups, while multiple decrement theory (also known as competing risks in biometrics) represented an earlier approach and a special case, in which transitions into the measured state are disallowed. As discussed in Skoog-Ciecka (2004), in some cases, e.g., railroad worker worklife expectancy Skoog-Ciecka (1998 and, hybrids of these two approaches may prove fruitful, given appropriate but only occasionally available data. In this paper we develop and extend these ideas to allow a look at worklife expectancy in occupations where actuarial data provides longitudinal records of transitions.…”