Porcentaje Promedio de Horas Dedicadas al Cuidado de Adultos Mayores no Remunerados: una Propuesta de Estimación Mediante una Estrategia de Muestreo Asistida por un Modelo de Regresión Beta en Bogotá-Colombia

Abstract

Unpaid care is a topic of global interest that is made up of different aspects such as age, gender, economy, health status, among others; where it is generally women who assume the role of caregiver, sacrificing quality time for themselves, hindering the opportunity to be part of the workforce and causing deterioration in their health status. An estimate was made of the average proportion of time that Bogotá caregivers dedicate per week to caring for the elderly without remuneration, applying a sampling strategy assisted by a Beta regression model called BREG. The estimated average proportion of hours dedicated to caring for the elderly was 42.3% with a margin of error of 0.46%. Age, sex, health condition, hours spent watching television per week, type of occupancy of the home by the household, time spent traveling to the nearest medical center, time spent eating outside the home with friends or family and resorting to other people when they have economic problems were the significant variables for the construction of the model. A BREG estimate of the estimated mean proportion of hours dedicated to caring for the elderly was obtained with greater relative efficiency than the Horvitz–Thompson estimator. Unpaid care is an opportunity to improve existing public policies for the elderly and to create new government policies to reduce the physical and emotional burden of caregivers.