In this paper, we analyze the Individuals' level of engagement on the labor market and the engagement heterogeneity across individuals in matters of labor market outcomes and the effectiveness of policy interventions. Emerging economies with highly segmented and distorted labor markets typically...

Factor modeling is a popular strategy to induce sparsity in multivariate models as they scale to higher dimensions. We develop Bayesian inference for a recently proposed latent factor copula model, which utilizes a pair copula construction to couple the variables with the latent factor. We use...

We propose and describe a comprehensive theoretical framework that integrates choice models and structural equation models. Referred to as structural choice modelling the framework easily combines data from separate but related choice experiments. We describe the mathematical properties of the...

The manufacturing industry's loss in participation, phenomena called “deindustrialization”, has been observed for the Brazilian economy for a while and seems to have intensified from mid-2000s. However, the literature has not developed a consistent or integrated analysis of this process. We...

Financial data are expensive and highly sensitive with limited access. We aim to generate abundant datasets given the original prices while preserving the original statistical features. We introduce the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) into the field of...