We augment the existing literature using the Log-Periodic Power Law Singular (LPPLS) structures in the log-price dynamics to diagnose financial bubbles by providing three main innovations. First, we introduce the quantile regression to the LPPLS detection problem. This allows us to disentangle...

This paper explores a range of simple models to study the relationship between global temperature anomalies and climate forcings. In particular, we consider quantile regression models with potentially time-varying parameters (TVP), implemented by Bayesian methods. In its most general...

The COVID-19 shock hit firms hard, on average, but how did it hit in the distribution of firms, differently between the high-growth superstars and the firms that were already struggling to survive? This paper implements graphical techniques and quantile regression to analyse the effect of the...

In this study, we investigate the role of development assistance in reducing a hypothetically negative impact of terrorism on economic growth, using a panel of 78 developing nations with data for the period 1984-2008. The empirical evidence is based on interactive Quantile regressions. Domestic,...