Econometrics has traditionally used advanced statistical methods to analyse economic data. These methods address problems often neglected in climate time series analysis, such as: spurious correlation and regression, significance of trend-detection etc. Recently, a growing number of climate scientists are using econometric methods of time series and spatial analysis to explore palaeo-, historical, present and future climate, the impact of humans upon climate change and vice versa. We invite abstracts from those using or developing empirical models of all aspects of the climate system, as well as empirical models evaluating the economic impacts of climate, their underlying theory and applications to human-climate interaction.