Understanding the adoption of new drugs decided by several stakeholders in the South Korean market: a nonparametric event history analysis

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.

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

The International Journal of Aging and Human Development ◽

10.1177/00914150211024181 ◽

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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The first 10 years of a working career: An illustration of event-history analysis with West German mobility data

Computational Statistics & Data Analysis ◽

10.1016/0167-9473(83)90078-6 ◽

1983 ◽

Vol 1 ◽

pp. 111-135

Author(s):

Hans-Jürgen Andress

Keyword(s):

Event History Analysis ◽

Event History ◽

Mobility Data ◽

History Analysis

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Using Event History Analysis in Historical Research: With Illustrations from a Study of the Passage of Women's Protective Legislation

International Review of Social History ◽

10.1017/s0020859000115081 ◽

1998 ◽

Vol 43 (S6) ◽

pp. 33-55 ◽

Cited By ~ 7

Author(s):

Holly J. McCammon

Keyword(s):

Event History Analysis ◽

Historical Research ◽

Event History ◽

Industrial Workers ◽

Social Scientists ◽

Policy Makers ◽

History Analysis

Historians and social scientists often investigate the conditions that influence the occurrence of particular events. For instance, a researcher might be concerned with the causes of revolutionary action in some countries or the forces that unleash racial rioting in major cities. Or perhaps the researcher wishes to examine why industrial workers decide to strike or what prompts policy-makers to pass new legislation. In each of these examples, a qualitative shift occurs, from a circumstance without racial rioting in a particular city, for instance, to one with racial rioting. Event history analysis can aid researchers in uncovering the conditions that lead to such a shift.

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Sex and Experience in the Academy Award Nomination Process

Psychological Reports ◽

10.2466/pr0.95.2.589-592 ◽

2004 ◽

Vol 95 (2) ◽

pp. 589-592 ◽

Cited By ~ 2

Author(s):

Anne E. Lincoln

Keyword(s):

Sex Differences ◽

Age Differences ◽

Event History Analysis ◽

Event History ◽

Male And Female ◽

History Analysis ◽

Academy Award ◽

Award Nomination ◽

Age Disparity

Research has indicated significant age differences between male and female Academy Award nominees and winners. However, this discrepancy may be associated with sex differences in actors' ages when they first begin their acting careers. The present research uses event history analysis to investigate the duration of Academy Award nominees' careers from career start (first film) to first three Academy Award nominations. Analysis suggested controlling for an actor's age at first film explains the sex-age disparity between Academy Award nominees and winners.

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