How important is innovation? A Bayesian factor-augmented productivity model on panel data
| Autor: | Bresson G., Etienne J., Mohnen P. |
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| Rok vydání: | 2014 |
| Předmět: |
jel:C23
jel:O47 jel:C38 Models with Panel Data Longitudinal Data Spatial Time Series Multiple or Simultaneous Equation Models: Classification Methods Cluster Analysis Factor Models Measurement of Economic Growth Aggregate Productivity Cross-Country Output Convergence [Single Equation Models Single Variables] |
| Popis: | This paper proposes a Bayesian approach to estimate a factor augmented productivity equation. We exploit the panel dimension of our data and distinguish individual-specific and time-specific factors. On the basis of 21 technology, infrastructure and institution indicators from 82 countries over a 19-year period 1990 to 2008, we construct summary indicators of these three components and estimate their effect on the growth and the international differences in GDP per capita. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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