Quarterly earnings allow aggregation into annual earnings in four different ways. Fiscal year reported earnings is one of these four possible measures of annual earnings, the others being earnings for years ending at the first, second and third fiscal quarters. We provide evidence on earnings...

This paper asks which sub-groups of the population are affected by the payment of a small cash incentive to respond to a telephone survey. We find that an incentive improves response rates primarily amongst those individuals with the longest history of income support receipt. Importantly, these...

The aim of the project SOEP-RV is to link data from participants in the German Socio-Economic Panel (SOEP) survey to their individual Deutsche Rentenversicherung (German Pension Insurance) records. For all SOEP respondents who give explicit consent to record linkage, SOEP-RV creates a linked...

The term "big data" has become an indispensable part of the corporate landscape. It refers to large volumes of data that originate from a wide variety of data sources (e.g., social media, assistance programs, surveillance cam-eras, or loyalty cards). Especially in recent years, the mass of data...

Deceptive communication or behavior can inflict loss, so it may be important to be able to distinguish these from trustworthy ones. Repeated exposure or experience can cause learning and hence better detection of deception. We investigate whether experience improves deception detection by...

Deceptive communication or behavior can inflict loss, making it important to be able to distinguish these from trustworthy ones. This article pursues the hypothesis that repeated exposure or experience can cause learning and hence better detection of deception. We investigate using data from a...

Using data on 65,000 stocks from 23 countries, the authors re-evaluate the performance of the Fama-French (2015) factors in global markets. The results provide convincing evidence that the value, profitability, and investment factors are far less reliable than commonly thought. Their performance...

We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes...

We evaluate the quality of beliefs elicited from online respondents, comparing several characteristics of two widely used elicitation mechanisms (the Binarized Scoring Rule - BSR - and a stochastic variation of the Becker-deGroot-Marshak mechanism -BDM) against a flat fee baseline for a variety...

In this paper, the key factors that affect the extent of GDPR implementation in enterprises are analysed. Since 2018, all organizations operating in the European Union or processing personal data of EU citizens have had to incorporate a new regulation in their work. After three years of...