You can't always get what you want? Estimator choice and the speed of convergence
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- Kufenko, Vadim & Prettner, Klaus & Geloso, Vincent, 2020.
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Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 62-76.
- Kufenko, Vadim & Prettner, Klaus & Geloso, Vincent, 2017. "Divergence, convergence, and the history-augmented Solow model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 11-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
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More about this item
Keywords
Speed of Convergence; Panel Data; Monte-Carlo Simulation; Estimator Bias; Estimator Efficiency; Economic Growth;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2016-11-27 (Econometrics)
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