research
what i’ve published so far and what i’m working on!
work in progress
2026
- The Intra-Household Effects of Inheritances on Time Allocation by GenderÁngel Sánchez-Daniel and Miguel Á. Malo2026
The paper explores how inheritances have effects on gender differences in time use within the household among heterosexual couples older than 50 years in Europe. We use panel data from the Survey of Health, Ageing and Retirement in Europe (SHARE) to analyse the self-reported time spent on paid work, unpaid work, and leisure. We employ a Two-Way Fixed Effects (TWFE) model to show how inheritances greater than 5,000€ affect time allocation to different activities within the household, with differences by gender and inheritance expectations. Specifically, we adopt the intra-household approach to assess inheritance ownership, where we consider inheritances as individual assets, rather than the mainstream approach of inheritance pooling that considers inheritances as household assets. Prior research links wealth transfers to reduced labour force participation, but their effects on other activities remain unexplored. Our results show that women reduced their time spent on unpaid work regardless of whether the inheritance is received by them or their husband, reducing gender disparities in this activity. Robustness analyses support these results, and we find that the effects are stronger for households below the median and mean income. Our findings suggest that intergenerational wealth transfers in ageing societies may shift intra-household dynamics, enhancing women’s bargaining power and reducing inequality in unpaid work, primarily among the poorest households.
- You’ve Got a Friend in Me: Social Capital and Subjective Life ExpectancyÁngel Sánchez-Daniel and Miguel Á. Malo2026
- The Impact of COVID-19 Lockdown on Mental Health in the Elderly: A Non-Linear RelationshipÁngel Sánchez-Daniel and Miguel Á. Malo2026
This paper explores the non-linear effects of variations in COVID-19 lockdown strictness on mental health of adults over 50. We analyse changes in sleep problems, depression symptoms, and loneliness feelings, and an additive mental health index across 27 European countries and Israel during three waves of the Survey of Health, Ageing, and Retirement in Europe (SHARE). We adopt a Generalized Propensity Score (GPS) matching approach and include a lockdown strictness index from the Oxford COVID-19 Government Response Tracker (OxCGRT) as a continuous treatment. Our results show a deterioration in mental health compared to pre-pandemic values at high levels of restrictions. However, the dose-response functions show non-linear effects across the lockdown strictness distribution: loneliness is more prevalent in highly restricted countries, sleep problems are more common in less restricted countries, and depression symptoms peak under moderate lockdown measures. We suggest the existence of imperfect sample compliance due to mortality risk, as deceased individuals systematically reported worse mental health than survivors, introducing potential bias.
publications
2024
- Sensitivity of Water Reallocation Performance Assessments to Water Use DataÁngel Sánchez-Daniel, Jesús Garrido-Rubio, Antonio Jesús Molina-Medina, and 4 more authorsWater Resources and Economics, Oct 2024
The lack of detailed and reliable data on the estimates of water use has been a key limitation in informing sustainable, equitable and efficient water…
- Actionable Human–Water System Modelling under UncertaintyLaura Gil-García, Nazaret M. Montilla-López, Carlos Gutiérrez-Martín, and 5 more authorsHydrology and Earth System Sciences, Oct 2024
This paper develops an actionable interdisciplinary model that quantifies and assesses uncertainties in water resource allocation under climate change. To achieve this objective, we develop an innovative socio-ecological grand ensemble that combines climate, hydrological, and microeconomic ensemble experiments with a widely used decision support system for water resource planning and management. Each system is populated with multiple models (multi-model), which we use to evaluate the impacts of multiple climate scenarios and policies (multi-scenario, multi-forcing) across systems so as to identify plausible futures where water management policies meet or miss their objectives and to explore potential tipping points. The application of the methods is exemplified by a study conducted in the Douro River basin (DRB), an agricultural basin located in central Spain. Our results show how marginal climate changes can trigger non-linear water allocation changes in the decision support systems (DSSs) and/or non-linear adaptive responses of irrigators to water shortages. For example, while some irrigators barely experience economic losses (average profit and employment fall by < 0.5 %) under mild water allocation reductions of 5 % or lower, profit and employment fall by up to 12 % (∼ 24 \texttimes ) when water allocation is reduced by 10 % or less (∼ 2\texttimes ). This substantiates the relevance of informing the potential natural and socio-economic impacts of adaptation strategies and related uncertainties for identifying robust decisions.
2021
- The Effects of Technological Change on Labor Markets: College Wage Premium in EuropeÁngel Sánchez-DanielDèposit Digital UB, 2021
Technology has affected the demand for skills and disrupted labor markets . In particular, the evidence suggests that technological change has led to job polarization by increasing the demand for high- and low-wage occupations at the expense of medium-wage occupations. This thesis builds on the hypothesis that different types of technologies can affect the evolution of skill premium differently. More specifically, it explores the effects of different types of technological capital on skill premium in 17 European countries from 2008 to 2017. Research on this topic is less abundant in Europe than in the US and usually utilizes older databases. The contribution of this study is the analysis of the skill premium with updated information and various types of technological capital. The results show that intangible assets have positive and statistically significant effect on skill premium. IT complements high-educated workers in retail, transportation, construction and health industries and CT substitutes high-educated workers in transportation, construction and in public administration industries. Moreover, this thesis explores a comparison of these with previous literature and presents an explanation for the differences and similarities with the results.
2020
- Economía de la inteligencia artificial: Distribución territorial y dinamismo empresarial en EspañaÁngel Sánchez-DanielGredos USAL, 2020
[ES] La Inteligencia Artificial (IA) se está introduciendo en los procesos productivos. Tendrá implicaciones en ámbitos como los tipos de puestos de trabajo el crecimiento económico, el empleo, la productividad o el crecimiento económico. El objetivo del trabajo se centra en analizar la distribución territorial y sectorial de las organizaciones que usan IA en España. Se utilizan bases de datos elaboradas por el Gobierno de España sobre las entidades que utilizan IA, que proporcionan una imagen de la situación en España. Se compara con el dinamismo empresarial de cada comunidad. Los resultados muestran una distribución territorial muy desigual y existe una relación positiva entre la cantidad de organizaciones que trabajan con IA y el crecimiento de empresas. La IA se localiza en las zonas con mayor crecimiento de empresas, y en un grupo limitado de sectores. Para terminar, se muestran una serie de políticas para los distintos niveles de la administración. En las conclusiones se muestran las implicaciones del gran tamaño de las organizaciones que trabajan con IA sobre la competencia. También se explican las diferencias que aparecen en los sectores a los que se dedican las entidades públicas y las empresas privadas. La especialización sectorial determina la desigualdad en la distribución de la IA entre CCAA.