Relevant bibliographies by topics / Multigenerational demography

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters

Academic literature on the topic 'Multigenerational demography'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Multigenerational demography"

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Mare, Robert D. "A Multigenerational View of Inequality." Demography 48, no. 1 (January 27, 2011): 1–23. http://dx.doi.org/10.1007/s13524-011-0014-7.

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Song, Xi, and Robert D. Mare. "Shared Lifetimes, Multigenerational Exposure, and Educational Mobility." Demography 56, no. 3 (May 16, 2019): 891–916. http://dx.doi.org/10.1007/s13524-019-00772-8.

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Cook, C. Justin, Jason M. Fletcher, and Angela Forgues. "Multigenerational Effects of Early-Life Health Shocks." Demography 56, no. 5 (July 29, 2019): 1855–74. http://dx.doi.org/10.1007/s13524-019-00804-3.

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Kolk, Martin. "Multigenerational transmission of family size in contemporary Sweden." Population Studies 68, no. 1 (August 20, 2013): 111–29. http://dx.doi.org/10.1080/00324728.2013.819112.

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Wolfe, Joseph, Shawn Bauldry, Melissa Hardy, and Eliza K. Pavalko. "Multigenerational socioeconomic attainments and mortality among older men: An adjacent generations approach." Demographic Research 39 (October 5, 2018): 719–52. http://dx.doi.org/10.4054/demres.2018.39.26.

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Deleire, Thomas, and Ariel Kalil. "Good Things Come in Threes: Single-Parent Multigenerational Family Structure and Adolescent Adjustment." Demography 39, no. 2 (May 2002): 393. http://dx.doi.org/10.2307/3088345.

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DeLeire, Thomas C., and Ariel Kalil. "Good Things Come in Threes: Single-Parent Multigenerational Family Structure and Adolescent Adjustment." Demography 39, no. 2 (2002): 393–413. http://dx.doi.org/10.1353/dem.2002.0016.

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Pilkauskas, Natasha V., Mariana Amorim, and Rachel E. Dunifon. "Historical Trends in Children Living in Multigenerational Households in the United States: 1870–2018." Demography 57, no. 6 (October 1, 2020): 2269–96. http://dx.doi.org/10.1007/s13524-020-00920-5.

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Patterson, Sarah E., and Rachel Margolis. "The Demography of Multigenerational Caregiving: A Critical Aspect of the Gendered Life Course." Socius: Sociological Research for a Dynamic World 5 (January 2019): 237802311986273. http://dx.doi.org/10.1177/2378023119862737.

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Multigenerational caregiving is important because it affects social and economic outcomes. Existing studies usually exclude theoretically and empirically important aspects—emotional care and horizontal care—that may systematically underestimate gender differences. In this study, we comprehensively describe caregiving by gender and age and examine how sensitive estimates are to the inclusion of directions and types of care. Using the Generations and Gender Survey (GGS) in Europe (N = 114,147), we find that women are more likely to provide care than men across the life course, and gender gaps are largest during critical periods for human capital accumulation. Significant gender gaps in favor of more women providing care are found in most countries, especially when emotional caregiving is included, but in some countries, more men provide care at the oldest ages. These findings highlight how measuring caregiving well is critical to understanding the gendered life course.
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González-Pérez, Brenda Karen, S. S. S. Sarma, M. E. Castellanos-Páez, and S. Nandini. "Multigenerational effects of triclosan on the demography of Plationus patulus and Brachionus havanaensis (ROTIFERA)." Ecotoxicology and Environmental Safety 147 (January 2018): 275–82. http://dx.doi.org/10.1016/j.ecoenv.2017.08.049.

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Dissertations / Theses on the topic "Multigenerational demography"

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Kolk, Martin. "Multigenerational Processes in Demography." Doctoral thesis, Stockholms universitet, Sociologiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-106987.

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Contemporary social science research has often focused on nuclear family relationships, and has largely neglected kinship and family outside the nuclear household. In this doctoral thesis I explore demographic issues from a multigenerational perspective, using Swedish register data and mathematical modeling. In different chapters I examine intergenerational transmission of fertility—the relationship between the number of siblings and other kin, and the fertility of an individual. The thesis demonstrates the possibilities for empirical research on family and kinship based on Swedish register data. Unique linkage opportunities across three and four generations are applied to previously unexplored research questions. The studies in the thesis demonstrate the importance of kin outside the household, such as grandparents, aunts/uncles, and cousins, for fertility and family dynamics.
Samhällsvetenskaplig forskning har i hög grad varit fokuserad på kärnfamiljer, och i lägre grad undersökt släktskap utanför hushållet. Den här avhandlingen undersöker demografiska frågor utifrån ett flergenerationsperspektiv med hjälp av svenska registerdata och matematisk modellering. I de olika studierna undersöker jag den sociala överföringen av barnafödande mellan fler generationer—sambanden mellan antalet syskon och andra familjemedlemmar, och en persons barnafödande. Avhandlingen demonstrerar hur svenska registerdata möjliggör empirisk forskning om familj och släktskap. De unika kopplingsmöjligheterna över tre till fyra generationer appliceras på tidigare outforskade forskningsfrågor. Avhandlingen visar vikten av släktskap utanför kärnfamiljen, så som far/mor-föräldrar samt kusiner, för familjedemografiska processer.
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Books on the topic "Multigenerational demography"

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Graham, John L., and Sharon Graham Niederhaus. Together Again: A Creative Guide to Successful Multigenerational Living. M. Evans and Company, Inc., 2007.

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Book chapters on the topic "Multigenerational demography"

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Marquez-Velarde, Guadalupe. "Multigenerational Households: A Descriptive Approach to Distinctive Definitions." In International Handbook on the Demography of Marriage and the Family, 215–25. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35079-6_15.

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"Demographic characteristics of multigenerational households in Australia." In Multigenerational Family Living, 28–51. Routledge, 2016. http://dx.doi.org/10.4324/9781315596266-9.

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Ok, Chiho, and Jisun Lim. "The Effect of Parental Demographics on Parental Assessment of Adolescent Internet Addiction." In Multigenerational Online Behavior and Media Use, 377–89. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7909-0.ch020.

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This article investigates how adolescent Internet addiction is assessed by parents based on children's Internet use time and parental demographic characteristics. The authors measured children's level of Internet addiction based on Young's scale evaluated by their parents to mitigate the social desirability bias in self-reported surveys when children evaluate themselves. Based on Korean General Social Survey data, which is nationally representative in South Korea, they analyzed 219 individuals and found that as the time of Internet use of children increased, the level of Internet addiction evaluated by parents increased. In addition, this relationship was moderated by parental demographic characteristics such that higher age, lower educational attainment, and higher Internet use time tend to decrease the parental evaluation of their children's Internet addiction. Results suggest that policies and programs related to children's Internet addiction should be focused more on parents from specific demographic groups.
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Nittala, Rajyalakshmi. "Factors Influencing Online Shopping Behavior of Urban Consumers in India." In Multigenerational Online Behavior and Media Use, 1171–85. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7909-0.ch064.

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This study examines the factors influencing online shopping behavior of urban consumers in the State of Andhra Pradesh, India and provides a better understanding of the potential of electronic marketing for both researchers and online retailers. Data from a sample of 1500 Internet users (distributed evenly among six selected major cities) was collected by a structured questionnaire covering demographic profile and the factors influencing online shopping. Factor analysis and multiple regression analysis are used to establish relationship between the factors influencing online shopping and online shopping behavior. The study identified that perceived risk and price positively influenced online shopping behavior. Results also indicated that positive attitude, product risk and financial risk affect negatively the online shopping behavior.
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Strang, Kenneth David. "Consumer Behavior in Online Risky Purchase Decisions." In Multigenerational Online Behavior and Media Use, 720–48. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7909-0.ch040.

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There is very little research about how consumers of different races trust online marketing information from businesses or government when making expensive purchase decisions such as cancer treatment medicine. In this article, a large cross-cultural sample was surveyed to evaluate trust belief levels for common online information sources when making risky purchase decisions. Trust belief levels of online information sources were significantly different across ethnicity and gender when making risky decision. Females across all ethnicities held higher trust beliefs for online information sources, and Asian females in particular had the highest trust beliefs for online data from library research to health care providers. Trust belief levels were lower for online social media and bank/financial institution online information sources for risky purchase decisions. These findings can be used by leaders, political authorities, and consumer behavior marketing managers to segment consumers by demographic characteristics.
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Sterner, Glenn, and Diane Felmlee. "The Social Networks of Cyberbullying on Twitter." In Multigenerational Online Behavior and Media Use, 905–22. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7909-0.ch049.

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This research applies a social network perspective to the issue of cyber aggression, or cyberbullying, on the social media platform Twitter. Cyber aggression is particularly problematic because of its potential for anonymity, and the ease with which so many others can join the harassment of victims. Utilizing a comparative case study methodology, the authors examined thousands of Tweets to explore the use of denigrating slurs and insults contained in public tweets that target an individual's gender, race, or sexual orientation. Findings indicate cyber aggression on Twitter to be extensive and often extremely offensive, with the potential for serious, deleterious consequences for its victims. The study examined a sample of 84 aggressive networks on Twitter and visualize several social networks of communication patterns that emanate from an initial, aggressive tweet. The authors identify six social roles that users can assume in the network, noting differences in these roles by demographic category. Serious ethical concerns pertain to this technological, social problem.
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Thrall, Grant Ian. "Housing and Residential Communities." In Business Geography and New Real Estate Market Analysis. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195076363.003.0009.

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Housing occupies about 70 percent of the land area of a typical city. That land area is not randomly distributed, but instead follows regular spatial patterns; these patterns are sectorial and radial (see Hoyt 1939; chapter 2). These geographic patterns form housing submarkets. Specific demographic groups are attracted to housing in those submarkets. As there are many kinds of demographic characteristics of households, there are also many types of housing, and many housing submarkets. Housing submarkets include downtowns, middle-burbs, suburbs; high income; middle income, and low income; new development, mixed use, older development, and mixed new infill with older development; apartments, condominiums; townhouses, high rises, and single-family dwellings. The market analyst makes recommendations on which type of development will be most successful in which submarket and on which submarket would be appropriate for a particular type of development (see Sumichrast and Seldin 1977). Few people today choose to live without the benefit of some type of housing. The choice and availability of what type of housing to live in depends on a complex interaction of many factors, including culture, the natural and built environment, technological scale of society, government, income, stage of life cycle, economics of building construction, and knowledge and imagination of those building the housing. This chapter presents a broad overview of housing market analysis. In the overview, the determinants to demand and supply of housing are presented (See also Harvey, 1992). There is a broad overview of forecasting procedures and methodologies, the methods for projecting absorption rate, housing demand, and competitive supply, and how sales prices and rental prices might be determined. In the last quarter of the nineteenth century, upper-middle-income urban households in the United States and Canada often lived in what are today commonly referred to as Victorian houses. These houses were designed for multigenerational living, including grandparents as the head of household, their children, and their grandchildren. Aunts, uncles, and cousins might have lived in the same dwelling. All the family subunits contributed to the finances of maintaining the house. This provided social security to the elder members of the household, and inexpensive yet high-quality living conditions for the other family members.
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Journal articles
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