G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w4739
来源IDWorking Paper 4739
\"Learning By Doing and the Choice of Technology.\"
Boyan Jovanovic; Yaw Nyarko
发表日期1994-05-01
出版年1994
语种英语
摘要This paper explores a one-agent Bayesian model of learning by doing and technological choice. To produce output, the agent can choose among various technologies. The beneficial effects of learning by doing are bounded on each technology, and so long-run growth in output can take place only if the agent repeatedly switches to better technologies. As the agent repeatedly uses a technology, he learns about its unknown parameters, and this accumulated expertise is a form of human capital. But when the agent switches technologies, part of this human capital is lost. It is this loss of human capital that may prevent the agent from moving up the quality ladder of technologies as quickly as he can, since the loss is greater the bigger is the technological leap. We analyze the global dynamics. We find that a human-capital- rich agent may find it optimal to avoid any switching of technologies, and therefore to experience no long-run growth. On the other hand, a human-capital-poor agent, who because of his lack of skill is not so attached to any particular technology, can find it optimal to switch technologies repeatedly, and therefore enjoy long-run growth in output. Thus the model can give rise to overtaking.
主题Other
URLhttps://www.nber.org/papers/w4739
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/562136
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GB/T 7714
Boyan Jovanovic,Yaw Nyarko. \"Learning By Doing and the Choice of Technology.\". 1994.
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