The gender wage gap is a persistent labor market phenomenon. Most research focuses on the determinants of these wage differences. We contribute to this literature by exploring a different research question: if wages of women are systematically lower than male wages, what are the distributional...

Recently, variable selection by penalized likelihood has attracted much research interest. In this paper, we propose adaptive Lasso quantile regression (BALQR) from a Bayesian perspective. The method extends the Bayesian Lasso quantile regression by allowing different penalization parameters for...

The move towards a customer-centred approach to marketing, coupled with the increasing availability of customer transaction data, has led to an interest in understanding and estimating customer lifetime value (CLV). Several authors point out that, when evaluating customer profitability,...

This study examines the wage gender gap of young adults in the 1970s, 1980s, and 2000 in the US. Using quantile regression we estimate the gender gap across the entire wage distribution. We also study the importance of high school characteristics in predicting future labor market performance. We...

This paper examines the performance of 358 European diversified equity mutual funds controlling for gender differences. Fund performance is evaluated against funds' designated market indices and representative style portfolios. Consistently with previous studies, no significant differences in...

Financial markets react to major political events. The two nuclear tests conducted by North Korea in 2006 and 2009 were a sober confirmation of the nuclear weapon capacity of this state with the concomitant potential security threat this posed for the stability of the greater region. We examine...

In this article, we develop a Bayesian method for quantile regression in the case of dichotomous response data. The frequentist approach to this type of regression has proven problematic in both optimizing the objective function and making inference on the regression parameters. By accepting...

Currently, in order to remain competitive companies are adopting customer centered strategies and consequently customer relationship management (CRM) is gaining increasing importance. In this context, customer retention deserves particular attention. This paper proposes a model for partial churn...

Fierce competition as well as the recent financial crisis in financial and banking industries made credit scoring gain importance. An accurate estimation of credit risk helps organizations to decide whether or not to grant credit to potential customers. Many classification methods have been...