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Duygun, Meryem, Hao, Jiaqi, Isaksson, Anders and Sickles, Robin C. (2017) World productivity growth: a model averaging approach. Pacific Economic Review, 22 (4). pp. 587-619. ISSN 1468-0106

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Abstract

Policy makers and the economic researchers who provide them estimates of economic activity need to have an informative and scientifically-based method to develop a consensus estimate for the most basic of the productivity measures, total factor productivity (TFP) growth. We discuss methods to combine the various estimates based on different empirical specifications that model and estimate productivity growth. We also discuss the various econometric approaches used in the profession to estimate productivity growth. Our focus is on world TFP growth.

Item Type:	Article
Additional Information:	This is the peer reviewed version of the following article: Duygun, M., Hao, J., Isaksson, A., and Sickles, R. C. (2017) World Productivity Growth: A Model Averaging Approach. Pacific Economic Review, 22: 587–619. doi: 10.1111/1468-0106.12238 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/1468-0106.12238/full This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Keywords:	Productivity; Panel Data; Economic Growth; Time Varying Unobservable Effects
Schools/Departments:	University of Nottingham, UK > Faculty of Social Sciences > Nottingham University Business School
Identification Number:	https://doi.org/10.1111/1468-0106.12238
Depositing User:	Eprints, Support
Date Deposited:	22 Aug 2017 12:14
Last Modified:	26 Oct 2019 04:30
URI:	https://eprints.nottingham.ac.uk/id/eprint/45059

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