Liderazgo y dirección de empresas en el s. XXI

Peer-reviewed

Inequality over the business cycle: Estimating income risk using micro-data on consumption

We use CEX repeated cross-section data on consumption and income, to evaluate the nature of increased income inequality in the 1980s and 90s. We decompose unexpected changes in family income into transitory and permanent, and idiosyncratic and aggregate components, and estimate the contribution of each component to total inequality. The model we use is a linearized incomplete markets model, enriched to incorporate risk-sharing while maintaining tractability. Our estimates suggest that taking risk sharing into account is important for the model fit; that the increase in inequality in the 1980s was mainly permanent; and that inequality is driven almost entirely by idiosyncratic income risk. In addition we find no evidence for cyclical behavior of consumption risk, casting doubt on Constantinides and Duffie s (1995) explanation for the equity premium puzzle.

Solvencia en un Reaseguro Finite Risk

One of the characteristics of the finite risk reinsurance is the existence of an found of experience, which is constituted by the premiums charged by the reinsurer, together with his financial incomes, and his objective is to finance the claims to be satisfied to the insurer in the specified period. The objective of this work is to design a model that allows us to determinate the reserve that the found of experience should have in every annual period in order to guarantee its dynamic solvency, taking into the experience of the claims of the reinsurer"s portfolio and of each insurance company.

Risk of hypoglycemia in newborns from mothers with gestacional diabetes

There are not enough previous publications which are focused on mothers withwell-controlled gestational diabetes mellitus (GDM) as a risk factor that determines the occurrence of neonatal hypoglycemia. In addition, approaches to blood glucose monitoring have been inconsistent and poorly defined. Our objective is to determine if being a newborn from a mother with well-controlled gestational diabetes (regardless insulin treatment) have a higher risk to develop hypoglycemia than a healthy newborn, using a defined and strict protocol. The project will take place in a regional hospital of Girona. We will recruit from 2014 to 2015 a cohort of 623 infants born in this center without any malformation or any perinatal pathology or complication, selected with a consecutive sampling. We will record sex, ethnicity and gestational age information. We will measure blood glucose levels and anthropometric measurements in newborns always taking into account the presence of well-controlled maternal gestational diabetes or not. Patients will be followed up during 24 hours to determine the incidence of hypoglycemia. We will analyze the contribution between exposure factors that we have studied and the incidence of the outcome using a multivariate analysis

Risk of hypoglycemia in newborns from mothers with gestacional diabetes

There are not enough previous publications which are focused on mothers with well-controlled gestational diabetes mellitus (GDM) as a risk factor that determines the occurrence of neonatal hypoglycemia. In addition, approaches to blood glucose monitoring have been inconsistent and poorly defined. Our objective is to determine if being a newborn from a mother with well-controlled gestational diabetes (regardless insulin treatment) have a higher risk to develop hypoglycemia than a healthy newborn, using a defined and strict protocol. The project will take place in a regional hospital of Girona. We will recruit from 2014 to 2015 a cohort of 623 infants born in this center without any malformation or any perinatal pathology or complication, selected with a consecutive sampling. We will record sex, ethnicity and gestational age information. We will measure blood glucose levels and anthropometric measurements in newborns always taking into account the presence of well-controlled maternal gestational diabetes or not. Patients will be followed up during 24 hours to determine the incidence of hypoglycemia. We will analyze the contribution between exposure factors that we have studied and the incidence of the outcome using a multivariate analysis