Estimating learning effects on nuclear power plants: A count data model with a varying time interval as a duration variable

Eunnyeong Heo and Seong-Yun Shin

Applied Economics Letters, 1999, vol. 6, issue 10, 655-658

Abstract: This paper analyses learning effects in nuclear power plant operation, which are reflected on the reliability growth and operating cycle decision. To consider two aspects of learning, a count data model with a varying time interval as a duration variable is suggested. A possibly complicated model canbe estimatedrelatively easily by a Gibbs sampling technique. The estimates are then used to investigate the effects of three types of operating experiences on the plant operation.

Date: 1999
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DOI: 10.1080/135048599352448

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