Simulating extended reproduction: Poverty reduction and class dynamics in Bolivia

An extended reproduction model is used to simulate the effects of alternative poverty reduction strategies. Three policy variables are introduced: (de)indebtedness policy, investment policy and income distribution policy, contributing respectively to the objectives of policy sovereignty, structural change and social justice. The Millennium Development Goal of halving extreme poverty by 2015 seems to be a difficult, but attainable goal for Bolivia. The model shows also the effects of poverty reduction strategies on the different social classes

La pobreza y las clases: Dinámicas y estrategias en Bolivia

Income distribution among social classes, a preferred topic by the classical economists, has not often been frequented by later scholars. Some recent studies show a new interest, and a generalized increase in income concentration in favor of the capitalist class, particularly in Latin America. This study uses a multisectoral dynamic simulation model to analize the effects of poverty reduction strategies on the different social classes. The model describes in detail the size income distribution by sector, and transforms it in a sectorial class distribution of incomes. A strategy includes two instruments: investment policy, and income distribution policy, influencing respectively output structure and personal income distribution. The study shows the effects on the different social classes of strategies aiming to achieve the Millennium objective of halving extreme poverty by 2015

Simulating extended reproduction: Poverty reduction and class dynamics in Bolivia

An extended reproduction model is used to simulate the effects of alternative poverty reduction strategies. Three policy variables are introduced: (de)indebtedness policy, investment policy and income distribution policy, contributing respectively to the objectives of policy sovereignty, structural change and social justice. The Millennium Development Goal of halving extreme poverty by 2015 seems to be a difficult, but attainable goal for Bolivia. The model shows also the effects of poverty reduction strategies on the different social classes

La pobreza y las clases: Dinámicas y estrategias en Bolivia

Income distribution among social classes, a preferred topic by the classical economists, has not often been frequented by later scholars. Some recent studies show a new interest, and a generalized increase in income concentration in favor of the capitalist class, particularly in Latin America. This study uses a multisectoral dynamic simulation model to analize the effects of poverty reduction strategies on the different social classes. The model describes in detail the size income distribution by sector, and transforms it in a sectorial class distribution of incomes. A strategy includes two instruments: investment policy, and income distribution policy, influencing respectively output structure and personal income distribution. The study shows the effects on the different social classes of strategies aiming to achieve the Millennium objective of halving extreme poverty by 2015

Recovery of dialysis patients with COVID-19: health outcomes 3 months after diagnosis in ERACODA

BackgroundCoronavirus disease 2019 (COVID-19)-related short-term mortality is high in dialysis patients, but longer-term outcomes are largely unknown. We therefore assessed patient recovery in a large cohort of dialysis patients 3 months after their COVID-19 diagnosis.MethodsWe analyzed data on dialysis patients diagnosed with COVID-19 from 1 February 2020 to 31 March 2021 from the European Renal Association COVID-19 Database (ERACODA). The outcomes studied were patient survival, residence and functional and mental health status (estimated by their treating physician) 3 months after COVID-19 diagnosis. Complete follow-up data were available for 854 surviving patients. Patient characteristics associated with recovery were analyzed using logistic regression.ResultsIn 2449 hemodialysis patients (mean ± SD age 67.5 ± 14.4 years, 62% male), survival probabilities at 3 months after COVID-19 diagnosis were 90% for nonhospitalized patients (n = 1087), 73% for patients admitted to the hospital but not to an intensive care unit (ICU) (n = 1165) and 40% for those admitted to an ICU (n = 197). Patient survival hardly decreased between 28 days and 3 months after COVID-19 diagnosis. At 3 months, 87% functioned at their pre-existent functional and 94% at their pre-existent mental level. Only few of the surviving patients were still admitted to the hospital (0.8-6.3%) or a nursing home (∼5%). A higher age and frailty score at presentation and ICU admission were associated with worse functional outcome.ConclusionsMortality between 28 days and 3 months after COVID-19 diagnosis was low and the majority of patients who survived COVID-19 recovered to their pre-existent functional and mental health level at 3 months after diagnosis