Productivity Measurement, Model Averaging, and World Trends in Growth and Inequality

Robin Sickles, Jiaqi Hao and Chenjun Shang
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Jiaqi Hao: ATB Financial, Edmonton
Chenjun Shang: Rice University

Working Papers from Rice University, Department of Economics

Abstract: Our paper provides new methods to robustify productivity growth measurement by utilizing various economic theories explaining economic growth and productivity and the econometric model generated by that particular theory. We utilize the World Productivity Database from the UNIDO to analyze productivity during the period 1960-2010 for OECD countries. We focus on three competing models from the stochastic frontier literature, Cornwell, Schmidt, and Sickles (1990), Kumbhakar (1990) and Battese and Coelli (1992) to estimate productivity growth and its decomposition into technical change and efficiency change and utilize methods due to Hansen (2010) to construct optimal weights in order to model average the results from these three approaches.

Date: 2015
New Economics Papers: this item is included in nep-eff
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Chapter: Productivity Measurement, Model Averaging, and World Trends in Growth and Inequality (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:ecl:riceco:15-019

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