Before revision:  We discuss the use of Wasserstein Generative Adversarial Networks ( WGANs) as a method for systematically generating artificial data that mimic closely any given real data set without the researcher having many degrees of freedom .
After revision:  We discuss the use of Wasserstein Generative Adversarial Networks ( WGANs) as a method for systematically generating artificial data that closely mimics real economic datasets, while limiting the degrees of freedom .