Misallocation and inequality

For a large set of countries with different GDP per capita levels, we document how the distribution of labour earnings varies by development. Data reveals that the distribution of earnings changes with development in a particular way: while there is a larger mass at the left-tail, the right-tails shrinks, and moves towards the center. As a result, while the standard deviation of log earnings increases with development, the mean-to-median ratio declines. We interpret this fact within a model economy with heterogeneous workers and firms, which features industry dynamics, labor market frictions captured by a matching function, skill accumulation of workers with learning-by-doing and on-the-job training, and earnings inequality both across firms and workers. The benchmark economy is calibrated to the UK. We study how the earnings distribution changes as we increase two distortions in the benchmark economy: wedges on firms' output correlated with firm productivity and reductions in the labor market's ability to match unemployed workers and open vacancies. These distortions lead to the misallocation of resources and reduce employment and the GDP per capita. But they also affect how much firms are willing to pay to workers, how well higher skilled workers are matched with firms with higher productivity, and how much training workers receive. The model is consistent with a host of factors on how firm size distribution, firms' training decisions, and workers' life-cycle earnings profiles change with development and generates the observed patterns of changes in earnings distribution with development.