Social media data presents challenges for forecasters since one must convert text into data and deal with issues related to these measures being collected at different frequencies and volumes than traditional financial data. In this paper, we use a deep learning algorithm to measure sentiment...

We explore the in- and out- of sample robustness of tests for consumer choice inconsistencies based on parameter restrictions in parametric models, with a focus on tests proposed by Ketcham, Kuminoff and Powers (2015). We start by arguing that non-parametric alternatives are inherently...

We analyze the saving motives of European households using micro-data from the Household Finance and Consumption Survey (HFCS), which is conducted by the European Central Bank. We find that the rank ordering of saving motives differs greatly depending on what criterion is used to rank them. For...