In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...

It was in the 1990's when the concept of Operational Risk was defined, since then the institutions, especially those in the financial sector, are worried about this type of risk since their exposure could have fatal consequences. In case of the insurance sector its study originates due to the...

In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...

It was in the 1990’s when the concept of Operational Risk was defined, since then the institutions, especially those in the financial sector, are worried about this type of risk since their exposure could have fatal consequences. In case of the insurance sector its study originates due to the...

In the survey analysis, the missing data problem can be managed by using Multiple Imputation (MI) methods. In this paper we show the empirical application of MI methods to the financial variables included in Chile’s Social Protection Survey 2004. Based on

This paper contributes with evidence about the ex - post impact to the program of conditional cash transfer program Bono Juancito Pinto in public schools in Bolivia. In order to correctly identify the potential beneficiaries and avoid problems of endogeneity and selection bias, we evaluate the...

Spanish Abstract:Este trabajo analiza los efectos del paro de docentes de 2017 sobre la distribución del uso del tiempo de los padres en Colombia, usando información de la Gran Encuesta Integrada de Hogares (GEIH) del DANE para los años 2016 y 2017. Por medio de un modelo de diferencias en...