We argue that in modelling cross-country growth models one should first identify so-called outlying observations. For the data set of Sala-i-Martin, we use the least median of squares (LMS) estimator to identify outliers. As LMS is not suited for inference, we then use reweighted least squares...

This paper addresses the issue of outliers in finance-growth literature and provides a robust sensitivity analysis of some past studies and an updated data set. We employ the robust regression methods of median quantile regression and least trimmed squares. It shows that the findings of past...

Total Factor Productivity (TFP)is often used on the macro-economic level as an indicator of changes in efficiency of a country. In many transition economies TFP is seen to have been negative the last decade of the plan economy and starts increasing and become positive after a (quite a) few years...

The empirical economic growth literature is criticized for its lack ofrobustness. For different definitions of robustness, conclusions vary from 'almost everycorrelation is fragile' to 'a substantial number of explanatory variables are robust.' Were-analyze the empirical results of the economic...

The authors argue that in modelling cross-country growth models one should first identify so-called outlying observations. For the data set of Sali-i-Martin, they use the least median of squares (LMS) estimator to identify outliers. As LMS is not suited for inference, they then use reweighted...