Uncovering Mobility Patterns in Argentina using Quantile Regression

This paper uses quantile regression methodology to estimate intra-generational earnings mobility models in Argentina. This methodology allows the detection of differences in earnings’ dependence across the conditional earnings distribution. The most consistent result is that an individual’s past earnings are a more important explanatory variable for the current individual’s earnings at the middle and around the conditional earnings distribution than at the top or at the very bottom of it. It is also found that including education level diminishes the link between past and present earnings suggesting that education plays a role in explaining the dependence on earnings