Using data on annual individual labor income from three representative panel datasets (German SOEP, British BHPS, Australian HILDA) we investigate a) the selectivity of item non-response (INR) and b) the impact of imputation as a prominent post-survey means to cope with this type of measurement...

Using data on annual individual labor income from three representative panel datasets (German SOEP, British BHPS, Australian HILDA) we investigate a) the selectivity of item non-response (INR) and b) the impact of imputation as a prominent post-survey means to cope with this type of measurement...

In this paper we address the problem of maximizing the correlation between two vectors of time series data, when one of the vectors has missing data and the timing of the missing data is unknown. The motivation for this work comes from environmental monitoring where because of monitoring...

This paper explores and quantifies several aspects of the performance of currency unions using an augmented version of the gravity model and focusing on two samples, the world and Africa. Our empirical findings suggest that, in principle, membership in a currency union should benefit Africa as...

This paper presents an Update to the Data Module of the Report on the Observance of Standards and Codes (ROSC) for Mozambique. Despite the improvements in recent years, limitations in the coverage of most core comprehensive frameworks and indicators recommended in the General Data Dissemination...

We estimate a latent factor model that decomposes international stock returns into global, country-, and industry-specific shocks and allows for stock-specific exposures to these shocks. We find that across stocks there is substantial dispersion in these exposures, which is partly explained by...