1 / 16

Jenny Gierveld Netherlands Interdisciplinary Demographic Institute (NIDI)

Jenny Gierveld Netherlands Interdisciplinary Demographic Institute (NIDI) The Hague, the Netherlands GGP, Spetses, May 2004. A framework for analyses into the dynamics of relationships within the family, the generations and the genders; on the basis of GGP data. First phase:

dmorency
Download Presentation

Jenny Gierveld Netherlands Interdisciplinary Demographic Institute (NIDI)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Jenny Gierveld Netherlands Interdisciplinary Demographic Institute (NIDI) The Hague, the Netherlands GGP, Spetses, May 2004 A framework for analyses intothe dynamics of relationships within the family, the generations and the genders;on the basis of GGP data

  2. First phase: descriptive analyses concerning those specific aspects of the GGS data that are crucial for policy making in a country; with or without contextual data

  3. Next phase: explanatory research projects to provide an in-depth understanding of the processes that determine the current and envisaged future developments

  4. And: cross-national research, based on the data of the GGP-first-wave to compare the situation in a specific country with the trends, opportunities and restrictions of neighbouring countries

  5. And after the second wave: analyses will be possible that investigate and follow - on a panel basis – the developments in the field, with a special eye for causal interrelationships between determinants and outcomes

  6. Moreover, after the second wave: analyses will be possible that investigate and follow - on a panel basis – and cross-national (!) the developments in the field, with a special eye for causal interrelationships between determinants and outcomes

  7. To support countries the analysis w.g. will provide: ideas, proposals and guidelines for analyses & an overarching theoretical framework related to the life course paradigm

  8. Available at this moment: A list of research topics with some preliminary specifications, such as: description and analyses of determinants of the current partner relationship(by gender and birth cohorts), a.o: duration of the partner relationship in relation to partner history intentions to breaking up current partner relationships, and expected changes in relation to current labour market position and income generating capacities of both partners

  9. Available at this moment: A list of research topics for description and analyses of determinants of work/care arrangements (by gender and birth cohorts): work/child care tasks and arrangements, and financial outcomes work/child care tasks and arrangements, by partnership history, and in relation to well-being of parents

  10. A list of research topics for description and analyses of determinants of the current financial, and health situation of the population aged 55 and over(by gender and birth cohorts): partner relationship quality and well-being of man and wife acc to financial situation of the household composition of families of older people and the transfers from older to younger, and from younger to older generations

  11. Descriptive analyses, e.g.: • Table 1.1 Types of living arrangements, by marital status and five year birth cohorts (F/M respectively) • Per cent of respondents who live alone (no non-resident partner) by marital status • Per cent of respondents who live alone and have a not-resident partner • Per cent of respondents with co-resident spouse or partner (without others) • Per cent of respondents with co-resident spouse or partner, with children (no others) • Per cent of respondents with co-resident spouse or partner, with children and grandchildren (no others) • Per cent of respondents without co-resident spouse or partner, with children (no others) • Per cent of respondents without co-resident spouse or partner, with children and grandchildren (no others) • Per cent of respondents in other types of living • never married, married, divorced, widowed; total (%, n) • birth cohorts: 1924-29 1930-34 1935-39 1940-44 1945-50

  12. Table 1.2 Types of living arrangements, by partner history and five year birth cohorts (F/M respectively) • Partner history differentiated as follows: • no partner, never cohabited [ A] • with partner, first marriage [ M ] • with partner, higher order marriage; ever divorced; e.g., [M D M ] [M W M D M] [M  D  M  W  M] • with partner, higher order marriage; widowed (never divorced); e.g., [M  W  M] [M  W  M  W  M] • with partner, unmarried cohabitation [UC ] • and so on…….

  13. Table 1.3: Types of living arrangements and subjective income circumstances by marital status; per cent answering that household is able to make ends meet only ‘with difficulty’ or ‘with great difficulty’ (F/M respectively) Table 1.4: Types of living arrangements by financial situation of the older persons, and familial transfers (F/M respectively)

  14. Example of a research proposal for explanatory research  Partner status, financial position and familial embeddedness as determinants of living arrangements and well-being of persons aged 55 and over

  15. Central research questions: What can be said about the relationship between partner status, income of the older person, familial embeddedness and living arrangements realized by older adults (a.o. co-residence)? What can be said about the relationships between the country’s old age pension and health care policies on the one hand and the living arrangements realized by older adults on the other? Does a change in health or in the familial embeddedness affect the risks of deteriorating quality of life for older adults in different living arrangements?

  16. GGP encompasses a very rich data set a rich data set allows for in-depth and high -quality analyses policyoriented and/or scientific research descriptive, explanatory, longitudinal, and cross-national analyses are welcommed with special attention for differences between the genders with special attention for relationships between the generations Conclusion:

More Related