scholarly journals Young British adults’ homeownership circumstances and the role of intergenerational transfers

2020 ◽  
Vol 11 (3) ◽  
pp. 383-407
Author(s):  
Ellie Suh
Keyword(s):  
Young Adults ◽  
Family Support ◽  
Financial Support ◽  
Event History Analysis ◽  
House Prices ◽  
Intergenerational Transfers ◽  
Event History ◽  
Parental Home ◽  
History Analysis

Despite the continuing preference for homeownership, it has become increasingly difficult for young adults to own a home in Britain. House prices have increased faster than real earnings between the mid-1990s and the 2010s, resulting in significantly deteriorated affordability. Mortgage products have also become less accessible, as a large deposit has been required to secure the loan after the financial crisis of 2008/09. Previous studies point to the increasing role of intergenerational transfers in filling this gap. Some young adults obtain help from family to become homeowners, either receiving monetary support or by saving through living at the parental home. Using the Wealth and Assets Survey, this study attempts to examine the effect of these two types of family financial support on young adults’ homeownership circumstances, and controlling for other characteristics such as parental homeownership. First, it examines the characteristics of homeowners among young adults cross-sectionally using logistic regression. Second, by focusing on the non-homeowner subsample it analyses the effect of direct (money) and indirect (co-residence) family support on young adults’ entry to homeownership in the six-year period using discrete-time event history analysis. The results show that chances of young adults’ homeownership between 2008/10 and 2014/16 are very much tied to family support. The odds of becoming homeowners who have received direct or indirect support are found to be three times higher, even after accounting for other characteristics.

scholarly journals Event History Analysis for Investigating the Likelihood and Timing of Changing Majors

2018 ◽  
Vol 38 (1) ◽  
pp. 47-60 ◽  
Author(s):  
Jeffrey C. Sklar
Keyword(s):  
Event History Analysis ◽  
Student Characteristics ◽  
Event History ◽  
First Year ◽  
First Year Students ◽  
History Analysis ◽  
Enrollment Data ◽  
First Time ◽  
The Relationship

Students change their majors for various reasons, and academic advisors often assume the role of facilitating that change through institutional agreements or contracts. Therefore, advisors need to identify time periods during enrollment with the greatest likelihood that students will seek to change majors. They must also examine the student characteristics associated with changing majors so that advisors can identify students to avoid delays to graduation. The relationship between student characteristics and the likelihood of changing majors over time was studied through event history analysis techniques applied to enrollment data for a cohort of first-time first-year students.

State Lottery Adoptions as Policy Innovations: An Event History Analysis

1990 ◽  
Vol 84 (2) ◽  
pp. 395-415 ◽  
Author(s):  
Frances Stokes Berry ◽  
William D. Berry
Keyword(s):  
State Government ◽  
Event History Analysis ◽  
Organizational Innovation ◽  
Event History ◽  
Social Characteristics ◽  
Cross Sectional ◽  
State Lottery ◽  
History Analysis ◽  
Political Economic

Two types of explanations of state government innovation have been proposed: internal determinants models (which posit that the factors causing a state government to innovate are political, economic, and social characteristics of a state) and regional diffusion models (which point toward the role of policy adoptions by neighboring states in prompting a state to adopt). We show that the two are conceptually compatible, relying on Mohr's theory of organizational innovation. Then we develop and test a unified explanation of state lottery adoptions reflecting both internal and regional influences. The empirical results provide a great degree of support for Mohr's theory. For the empirical analysis, we rely on event history analysis, a form of pooled cross-sectional time series analysis, which we believe may be useful in a wide variety of subfields of political science. Event history analysis may be able to explain important forms of political behavior (by individuals, organizations, or governments) even if they occur only rarely.

Political Protest and Policy Change: The Direct Impacts of Indian Anti-Privatization Mobilizations, 1990-2003

2005 ◽  
Vol 10 (3) ◽  
pp. 383-396 ◽  
Author(s):  
Katrin Uba
Keyword(s):  
Event History Analysis ◽  
Event History ◽  
Policy Outcomes ◽  
Political Protest ◽  
Direct Impact ◽  
Movement Activity ◽  
Financial Situation ◽  
History Analysis ◽  
Privatization Policy

This study explores the mechanisms of how social movements' activities influence public policy by focusing on the role of protest characteristics. By applying an event history analysis to the data on India's anti-privatization movement activity between 1990-2003, I demonstrate that favorable policy outcomes are more likely in cases where the movement uses large or economically disruptive protests. Although privatization policy is primarily dependent on the financial situation of the enterprise, protests against privatization had significant direct impact on policy. The results of this study allow for the argument that threatening rather than persuasive tactics offer an explanation of the direct impact of social movement actions.

Event History Analysis in Demography

1995 ◽  
Vol 49 (2) ◽  
pp. 355-357
Author(s):  
Johannes Huinink
Keyword(s):  
Event History Analysis ◽  
Event History ◽  
History Analysis

From source-oriented databases to event-history data files: a twelve-step action plan for the analysis of individual and household life histories

1998 ◽  
Vol 10 (1-3) ◽  
pp. 1-9
Author(s):  
Onno Boonstra ◽  
Maarten Panhuysen
Keyword(s):  
Life Histories ◽  
Event History Analysis ◽  
Action Plan ◽  
Event History ◽  
Flat File ◽  
Event History Data ◽  
History Analysis ◽  
Good Technique ◽  
Data Files ◽  
The Way

Population registers are recognised to be a very important source for demographic research, because it enables us to study the lifecourse of individuals as well as households. A very good technique for lifecourse analysis is event history analysis. Unfortunately, there are marked differences in the way the data are available in population registers and the way event history analysis expects them to be. The source-oriented approach of computing historical data calls for a ‘five-file structure’, whereas event history analysis only can handle fiat files. In this article, we suggest a series of twelve steps with which population register data can be transposed from a five-file structured database into a ‘flat file’ event history analysis dataset.

Gender Differences in the Link Between Marital Status and the Risk of Cognitive Impairment: Results From the Korean Longitudinal Study of Aging

2021 ◽  
pp. 009141502110241
Author(s):  
Yujin Kim
Keyword(s):  
Cognitive Impairment ◽  
Longitudinal Study ◽  
Marital Status ◽  
Event History Analysis ◽  
Population Aging ◽  
Event History ◽  
Never Married ◽  
History Analysis ◽  
Married Men ◽  
And Gender

In the context of South Korea, characterized by increasing population aging and a changing family structure, this study examined differences in the risk of cognitive impairment by marital status and investigated whether this association differs by gender. The data were derived from the 2006–2018 Korean Longitudinal Study of Aging. The sample comprised 7,568 respondents aged 45 years or older, who contributed 30,414 person-year observations. Event history analysis was used to predict the odds of cognitive impairment by marital status and gender. Relative to their married counterparts, never-married and divorced people were the most disadvantaged in terms of cognitive health. In addition, the association between marital status and cognitive impairment was much stronger for men than for women. Further, gender-stratified analyses showed that, compared with married men, never-married men had a higher risk of cognitive impairment, but there were no significant effects of marital status for women.

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