Migration to Urban and Rural Destinations in Post-Soviet Estonia: A Multilevel Event-History Analysis

2006 ◽  
Vol 38 (4) ◽  
pp. 749-764 ◽  
Author(s):  
Hill Kulu ◽  
Francesco C Billari

Researchers are divided on the trends and causes of internal migration in postsocialist Central and Eastern Europe. Theories run in opposite directions: some scholars argue that increasing similarities with Western market economies are explaining the migration processes, whereas others claim that specific developments during the postsocialist socioeconomic restructuring are playing a major role. In this paper we contribute to the existing discussion by providing an analysis of personal and contextual determinants of migration to urban and rural destinations in post-Soviet Estonia. We base our study on the data of the Estonian Labour Force Survey from 1995. Our research population consists of 8480 people aged 15 years to 68 years in early 1989. We analyze the intensity of urban-bound and rural-bound migration from January 1989 to December 1994, using the techniques of multilevel event-history analysis. We show that personal characteristics (age, marital status, employment status, education, and ethnicity) and contextual factors (unemployment level and the share of ethnic minorities) are both important in shaping the intensity of migration to urban and rural destinations in post-Soviet Estonia. Although the differences in migration behaviour by demographic characteristics in Estonia are in line with universalistic explanations, the regionally varying effect of socioeconomic status on migration is specific to developments in postsocialist countries, as a result of general economic hardship during the socioeconomic transition.

2009 ◽  
Vol 24 (3) ◽  
pp. 430-456
Author(s):  
Benoît Laplante ◽  
María Marta Santillán ◽  
María Constanza Street

The authors introduce a method that allows the use of data from rotating panel surveys, a design used in many household or labour force surveys, to realize statistical analyses similar to event history analysis. The method is illustrated with two examples, one on the dynamics of poverty — the effect of demographic and socioeconomic factors on the hazard of becoming poor in Argentina — and the other on family dynamics — the conversion of consensual unions into marriages. Both examples use data from the Argentinean Encuesta Permanente de Hogares, a national survey that is not designed to collect prospective or biographical data. The method allows for the use of time-varying independent variables and thus allows one to estimate the effect of an event on the hazard of another event, as in conventional event history analysis; several examples are provided.


2006 ◽  
Vol 20 (2) ◽  
pp. 309-328 ◽  
Author(s):  
Andrew Jenkins

Policy makers place increasing emphasis on the importance of lifelong learning in enabling more people, not just the registered unemployed, who are out of the labour force to move back into employment, or even into employment for the first time. However, there is very little reliable evidence on the economic effects of formal learning undertaken by adults. This article reports research on a cohort of British women in their 30s who initially were not in employment, using event history analysis to examine the factors which influenced transitions into employment between 1991 and 2000.The key finding is that, in the presence of a full range of controls, lifelong learning, defined in terms of obtaining qualifications as an adult, substantially increases the likelihood that labour-market inactive women will make a transition to paid employment.


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

1998 ◽  
Vol 10 (1-3) ◽  
pp. 1-9
Author(s):  
Onno Boonstra ◽  
Maarten Panhuysen

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.


Author(s):  
Yujin Kim

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.


1998 ◽  
Vol 43 (S6) ◽  
pp. 33-55 ◽  
Author(s):  
Holly J. McCammon

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.


2004 ◽  
Vol 95 (2) ◽  
pp. 589-592 ◽  
Author(s):  
Anne E. Lincoln

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.


2015 ◽  
Vol 28 (3) ◽  
pp. 223-231 ◽  
Author(s):  
Clea McNeely ◽  
Brian K. Barber ◽  
Carolyn Spellings ◽  
Robert Belli ◽  
Rita Giacaman ◽  
...  

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