In their influential study on productivity growth at the sector-level, Bernard and Jones (1996, BJ) observed convergence of aggregate labor productivity levels in 14 highly developed countries in 1970-1987. They also found evidence that this could be attributed to convergence in services productivity rather than in manufacturing. The main question this paper addresses is whether this result can be generalized to a broader set of countries. Several strands of growth theory suggest that thresholds with regard to a variety of issues can lead to multiple growth regimes, which are likely to lead to very heterogeneous patterns of convergence and divergence. To analyze this, we use econometric techniques that explicitly allow for identification of parameter heterogeneity (quantile regressions and quantile smoothing splines), both with regard to initial conditions and to performance conditional on these initial productivity levels. BJ�s data are extended in several dimensions. The recently developed sectoral dataset we use spans the period 1970-2004 and covers 49 countries, including many developing countries. Overall, our findings suggest that convergence as found by BJ only applies to limited groups of country-sectors (�convergence islands�), whereas the biggest parts of our sample spaces can be considered as �oceans of divergence�.
|Place of Publication||Groningen|
|Number of pages||36|
|Publication status||Published - 2010|
|Name||GGDC Working Papers|
- quantile regression
- parameter heterogeneity
- sectoral productivity