Short panels bias exposed: New method corrects quantile regression estimates!
The article discusses how to measure differences in how variables affect outcomes using panel data quantile regression. It points out that small sample sizes and short data collection periods can lead to biased results in quantile regression. The researchers suggest using smoothed quantile regression to reduce this bias in short panels.