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This article aims to assess the association between household demographic and socioeconomic characteristics and catastrophic health expenditure (CHE) in Argentina during 2017–2018. CHE was estimated as the proportion of household consumption capacity (using both income and total consumption in separate estimations) allocated for Out-of-Pocket (OOP) health expenditure. For assessing the determinants, we estimated a generalized ordered logit model using different intensities of CHE (10%, 15%, 20% and 25%) as the ordinal dependent variable, and socioeconomic, demographic and geographical variables as explanatory factors. We found that having members older than 65 years and with long-term difficulties increased the likelihood of incurring CHE. Additionally, having an economically inactive household head was identified as a factor that increases this probability. However, the research did not yield consistent results regarding the relationship between public and private health insurance and consumption capacity. Our results, along with the robustness checks, suggest that the magnitude of the coefficients for the household head characteristics could be exaggerated in studies that overlook the attributes of other household members. In addition, these results emphasize the significance of accounting for long-term difficulties and indicate that omitting this factor could overestimate the impact of members aged over 65. [ABSTRACT FROM AUTHOR]

The relationship between female labour force participation (FLFP) and economic development is far more complex than it is often described in academic literature. Most studies have relied on income as the only proxy for development. In this paper, we re-examine this relationship from a multidimensional perspective. A principal component analysis method was used in order to cluster the information contained in multiple development indicators. The analysed data include the following dimensions: access to basic services, environment, inequality, poverty, education, economic structure, health, income and FLFP. The results provide evidence about the existence of a U-shaped relationship between development and FLFP. Least and most developed countries have the highest levels of FLFP and, conversely, countries with intermediate levels of development have the lowest. We observed that MENA and South Asian countries present a lower FLFP in relation to what is expected for their level of development. Our estimates suggest that FLFP is also affected by social, cultural and legal norms. Thus, greater freedom to travel or work as well as the existence of laws that criminalize workplace harassment promote FLFP. This suggests that differences in FLFP are explained by economics and non-economic factors and policy makers should explicitly consider this multidimensionality. [ABSTRACT FROM AUTHOR]