Testing R&D‐Based Endogenous Growth Models*

Author:

Kruse‐Andersen Peter K.1ORCID

Affiliation:

1. Department of Economics University of Copenhagen Øster Farigmagsgade 5, Building 26 DK‐1353 Copenhagen Denmark

Abstract

AbstractThis study examines US productivity growth through the lens of R&D‐based growth models. A general R&D‐based model, nesting different model varieties, is developed. These varieties are tested using a novel cointegrating relationship and US data for the period 1953–2018. The results provide evidence against the widely used fully endogenous variety and support for other varieties including the semi‐endogenous variety. Further, the results are systematically consistent with the presence of fishing‐out effects in knowledge production, implying that productivity‐enhancing innovations become increasingly harder to achieve as technologies become more advanced. Forecasts suggest that the US productivity growth slowdown continues over the coming decades.

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automation and aging: The impact on older workers in the workforce;The Journal of the Economics of Ageing;2023-10

2. Directed technical change, environmental sustainability, and population growth;Journal of Environmental Economics and Management;2023-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3