Browsing by Author "Barrientos Cifuentes, Manuel"
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Publication Intrahousehold bargaining power and time allocation for multiple activities(2023) Cardenas Retamal, Roberto; Barrientos Cifuentes, Manuel; Vásquez Lavín, Felipe; Ponce, Roberto D.During the last decades, important policies have been implemented to incorporate women into the labor market, reduce persistent gender inequalities, and balance the time allocation between paid and unpaid work. We assess the Chilean case considering couples’ time allocation with an explicit consideration of intrahousehold bargaining power (relative wages and education). The Chilean case is interesting because we use the first urban national survey of time use, which could help understand gender differences in labor participation. We estimate a demand model, specifically a Multiple Discrete-Continuous Extreme Value (MDCEV) model considering six time-consuming activities on weekdays and weekends. In addition, we assess two hypothetical scenarios, namely, a proxy to childcare availability policy and an increase in women’s relative wages. We found that bargaining indicators are related to how individuals allocate their time, particularly the inverse relationship between the time allocated to housework and paid work. Moreover, we found that increasing women’s bargaining power in terms of wages could produce stronger labor force participation increments. Finally, our simulations show that while women can bridge the gap between paid and unpaid work, they continue to spend more time on domestic activities than men.Publication Use of medical services in Chile: How sensitive are the results to different econometric models?(2022) Chovar Vera, Alejandra; Vásquez Lavín, Felipe; Paraje Pisoni, Guillermo; Barrientos Cifuentes, ManuelBackground We compared different econometric specifications to model the use of medical services in Chile, focussing on visits to general practitioners and specialist physicians. Methods The evaluated models are the Poisson, Negative Binomial, Zero Inflated Poisson and Negative Binomial, two-step Hurdle model, sample-selection Poisson, and Latent Class model. These models were estimated using Chilean data for the years 2009 and 2015, separated by gender. Results Unlike previous literature that supported the use of the latent class model, our results show that the latent class model is not always the model with the best goodness of fit. Furthermore, the model with the best fit is not necessarily the model with the best predictive power. For instance, depending on the year and medical services, either the latent class model or the sample-selection Poisson model performs better than the other models. The results also show that the selection of the econometric model may have implications for the estimated influence that variables such as age, income, or affiliation to the public versus private sector have on the use of medical services. Conclusion Using Chilean data, we have tested that the selection of an econometric method to model the use of medical services is not a problem with a unique answer. We recommend performing a sensitivity analysis of goodness of fit and predictive power between gender, healthcare services, or different years of datasets in future applications to be sure about the best model specification in each context.