Abstract
Most empirical work in economic growth assumes either a Cobb–Douglas production function expressed in logs or a log-approximated constant elasticity of substitution specification. Estimates from each are likely biased due to logging the model and the latter can also suffer from approximation bias. We illustrate this with a successful replication of Masanjala and Papagerogiou (The Solow model with CES technology: nonlinearities and parameter heterogeneity, Journal of Applied Econometrics 2004; 19: 171–201) and then estimate both models in levels to avoid these biases. Our estimation in levels gives results in line with conventional wisdom.
| Original language | English |
|---|---|
| Pages (from-to) | 708-714 |
| Number of pages | 7 |
| Journal | Journal of Applied Econometrics |
| Volume | 26 |
| Issue number | 4 |
| Early online date | 12 Jun 2010 |
| DOIs | |
| Publication status | Published - Jun 2011 |
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