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

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  • Eunnyeong Heo
  • Seong-Yun Shin

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.

Suggested Citation

  • Eunnyeong Heo & Seong-Yun Shin, 1999. "Estimating learning effects on nuclear power plants: A count data model with a varying time interval as a duration variable," Applied Economics Letters, Taylor & Francis Journals, vol. 6(10), pages 655-658.
    • Handle: RePEc:taf:apeclt:v:6:y:1999:i:10:p:655-658
    DOI: 10.1080/135048599352448
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    References listed on IDEAS

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    1. Joskow, Paul L & Rozanski, George A, 1979. "The Effects of Learning by Doing on Nuclear Plant Operating Reliability," The Review of Economics and Statistics, MIT Press, vol. 61(2), pages 161-168, May.
    2. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    3. Richard K. Lester & Mark J. McCabe, 1993. "The Effect of Industrial Structure on Learning by Doing in Nuclear Power Plant Operation," RAND Journal of Economics, The RAND Corporation, vol. 24(3), pages 418-438, Autumn.
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