Productivity Measurement, Model Averaging, and World Trends in Growth and Inequality
In: Productivity and Efficiency Analysis
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DOI: 10.1007/978-3-319-23228-7_17
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Other versions of this item:
- Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Productivity Measurement, Model Averaging, and World Trends in Growth and Inequality," Working Papers 15-019, Rice University, Department of Economics.
References listed on IDEAS
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- COELLI, Tim, 2000. "On the econometric estimation of the distance function representation of a production technology," LIDAM Discussion Papers CORE 2000042, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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Cited by:
- Glass, Anthony J. & Kenjegalieva, Karligash & Ajayi, Victor & Adetutu, Morakinyo & Sickles, Robin C., 2016.
"Relative Winners and Losers from Efficiency Spillovers in Africa with Policy Implications for Regional Integration,"
Working Papers
16-003, Rice University, Department of Economics.
- Anthony J. Glass & Karligash Kenjegalieva & Victor Ajayi & Morakinyo Adetutu & Robin C. Sickles, 2017. "Relative Winners and Losers from Efficiency Spillovers in Africa with Policy Implications for Regional Integration," NBS Discussion Papers in Economics 2017/01, Economics, Nottingham Business School, Nottingham Trent University.
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Keywords
Productivity; Panel data; Stochastic frontiers; Time varying heterogeneity; Model averaging; United Nations Industrial Development Organization;All these keywords.
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