2016
DOI: 10.4054/demres.2016.34.24
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Intergenerational money and time transfers by gender in Spain: Who are the actual dependants?

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Cited by 19 publications
(24 citation statements)
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References 22 publications
(21 reference statements)
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“…Given that we have detailed demographic information for the period 1850-2000, our family size not only changes over time but also by age of the household head. The units of equivalent adult consumption of market and home-produced goods rely on the AGENTA database (Vargha et al 2015;Rentería et al 2016). In addition, to control for the educational dividend caused by the educational transition (Crespo-Cuaresma et al 2014), we introduce heterogeneous agents that differ in their educational attainment, using data from the Wittgenstein Data Explorer (Wittgenstein Centre for Demography and Global Human Capital 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Given that we have detailed demographic information for the period 1850-2000, our family size not only changes over time but also by age of the household head. The units of equivalent adult consumption of market and home-produced goods rely on the AGENTA database (Vargha et al 2015;Rentería et al 2016). In addition, to control for the educational dividend caused by the educational transition (Crespo-Cuaresma et al 2014), we introduce heterogeneous agents that differ in their educational attainment, using data from the Wittgenstein Data Explorer (Wittgenstein Centre for Demography and Global Human Capital 2015).…”
Section: Introductionmentioning
confidence: 99%
“…The first initiative was Phananiramai (2011) on estimating time transfers for Thailand, followed by the elaboration of a comprehensive methodology by Donehower (2014), after which many researchers began to apply national time use surveys to estimate NTTA and to extend NTA with them. The first results and analyses on Europe are available for Austria (Hammer 2014), France (Solaz and Stancanelli 2012;d'Albis et al 2013), Germany (Kluge 2014), Hungary (Gál, Szabó, and Vargha 2015), Italy (Zannella 2015), Slovenia (Sambt, Donehower, and Verbic 2016), and Spain (Renteria et al 2016), all of which provide insightful analysis about the reallocation patterns of individual countries. As a part of the Counting Women's Work Project, 6 research teams in Africa, Latin America, and Asia also work on estimating household goods and services flowing across different ages and genders.…”
Section: National Transfer Accounts and National Time Transfer Accountsmentioning
confidence: 99%
“…We would like to point out that the patterns of consumption are very similar when using the national time use survey along with the methodology by Donehower (2014) and when using the harmonised time use data applying the imputation method we have described in the sections above. A third example of robustness check is described by , in which an MTUS-based estimation for Spain (2010) is compared to calculations by Renteria et al (2016). …”
Section: Robustness Checksmentioning
confidence: 99%
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“…In a gender decomposition of net private transfers, Renteria et al. () highlight that among the elderly population, women are net private transfer recipients while men are net donors.…”
mentioning
confidence: 99%