This paper uses a dataset from one of the largest credit card issuers in Brazil to investigate the extent of credit constraints for one of the world's largest emerging market economies. In order to deal with the endogeneity problem from an observational dataset, an identification strategy based...

Many people implicitly sell or give away their data when using online services and participating in loyalty programmes-despite growing concerns about company's use of private data. Our paper studies potential reasons and co-variates that contribute to resolving this apparent paradox, which has...

The present paper investigates the adverse selection problem by examining the relationship between accident occurrences and deductible choice utilizing a seemingly unrelated probit model that allows for best controls for unobserved heterogeneity and endogeneity. While this microeconometric...

According to the 2017 Global Financial Inclusion (Global Findex) database, the average penetration rate of mobile money accounts in East Africa is higher than that of the WAEMU. This study attempts to understand the factors driving the adoption and the use of mobile financial services in the...

This paper compares two approaches to analyzing longitudinal discrete-time binary outcomes. Dynamic binary response models focus on state occupancy and typically specify low-order Markovian state dependence. Multi-spell duration models focus on transitions between states and typically allow for...

Ten years after the worldwide financial and economic crisis was triggered by the American real estate market, real estate prices are rising around the globe. Concerns about a new housing bubble are growing. The present report based on OECD data for 20 countries demonstrates that this concern is...