G2TT
来源类型Working Paper
规范类型论文
Estimating Future Consumer Welfare Gains from Innovation: The Case of Digital Data Storage
David H. Austin; Molly K. Macauley
发表日期2000-03-01
出版年2000
页码DP 00-13
语种英语
摘要We develop a quality-adjusted cost index to estimate expected returns to investments in new technologies. The index addresses the problem of measuring social benefits from innovations in service sector inputs, where real output is not directly observable. We forecast welfare gains from two U.S. Advanced Technology Program innovations equaling 25%-50% of expected price, and aggregate consumer benefits of $1-$2 billion, relative to trends in existing technologies. Our model’s probabilistic parameters reflect uncertainty about prospective outcomes and in our hedonic estimates of shadow values for selected product attributes. The index can be readily adopted by research and development (R&D) managers in industry and government.
主题Risk and Uncertainty ; Environmental Economics Topics
URLhttp://www.rff.org/research/publications/estimating-future-consumer-welfare-gains-innovation-case-digital-data-storage
来源智库Resources for the Future (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/40571
推荐引用方式
GB/T 7714
David H. Austin,Molly K. Macauley. Estimating Future Consumer Welfare Gains from Innovation: The Case of Digital Data Storage. 2000.
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