Heterogeneity in unemployment state dependence

Plum, Alexander; Ayllón, Sara

doi:10.1016/j.econlet.2015.09.006

Cited by 15 publications

(8 citation statements)

References 11 publications

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“…This issue has stimulated a large body of work in econometrics (Heckman 1981, Ahmad 2014, Skrondal and Rabe-hesketh 2014, Andriopoulou and Tsakloglou 2015. The hypothesis of a 'communicating vessels' phenomenon between sources of variation in CR histories should be considered in wild animal populations, as in econometrics studies (Ahmad 2014, Plum and Ayllón 2015, Cam et al 2016. Interestingly, several CR studies have hypothesized that their results obtained using multistate models partly reflect heterogeneity between individuals in baseline breeding and survival probability (Cam et al 1998), or phenotypic within-cohort mortality selection (i.e.…”

Section: Inference About Individual Heterogeneitymentioning

confidence: 99%

Individual heterogeneity and capture–recapture models: what, why and how?

Giménez

Cam

Gaillard

2017

Oikos

101

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Variation between and within individuals in life history traits is ubiquitous in natural populations. When affecting fitness‐related traits such as survival or reproduction, individual heterogeneity plays a key role in population dynamics and life history evolution. However, it is only recently that properly accounting for individual heterogeneity when studying population dynamics of free‐ranging populations has been made possible through the development of appropriate statistical models. We aim here to review case studies of individual heterogeneity in the context of capture–recapture models for the estimation of population size and demographic parameters with imperfect detection. First, we define what individual heterogeneity means and clarify the terminology used in the literature. Second, we review the literature and illustrate why individual heterogeneity is used in capture–recapture studies by focusing on the detection of life‐history tradeoffs, including senescence. Third, we explain how to model individual heterogeneity in capture–recapture models and provide the code to fit these models (https://github.com/oliviergimenez/indhet_in_CRmodels). The distinction is made between situations in which heterogeneity is actually measured and situations in which part of the heterogeneity remains unobserved. Regarding the latter, we outline recent developments of random‐effect models and finite‐mixture models. Finally, we discuss several avenues for future research.

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Section: Inference About Individual Heterogeneitymentioning

confidence: 99%

Individual heterogeneity and capture–recapture models: what, why and how?

Giménez

Cam

Gaillard

2017

Oikos

101

View full text Add to dashboard Cite

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“…This finding has been backed by a number of later studies [e.g. Biewen & Steffes, 2010; Plum & Ayllón, 2015].…”

Section: Literature Reviewmentioning

confidence: 74%

When There is No Way Up: Reconsidering Low‐paid Jobs as Stepping‐stones

2021

Self Cite

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Several studies have shown significant persistence in low pay, along with a greater probability of moving out of low pay and into higher pay in the future. Low-paid jobs are therefore often deemed stepping stones, rather than dead-ends. However, using point-in-time information past literature has usually only considered changes in labour market status at the annual level and not accounted for within-year changes of an individual's low pay position. Using population-wide administrative data with monthly earnings information, this study accounts for changes in an individual's low pay position and shows that attachment to the low pay sector is highly heterogeneous. The empirical evidence points to workers that have a strong attachment to the low pay sector facing a very high probability of staying low-paid employed; and the likelihood of their low pay jobs being stepping stones towards higher pay are found to be negligible.

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“…High relative risks of marital dissolution beyond the first year could be attributed to information updating arising from the husband failing to obtain employment after a potentially expected transition period of one year. At this point he is also considered long-term unemployed, which has been shown to be associated with greater statedependence in the labor market status (Arulampalam et al 2000;Plum and Ayllón 2015) and thus significantly reduced financial prospects. In addition, the husband will have also lost his unemployment insurance payments (if he was eligible) and have moved to the lower basic social security provision, which the couple might struggle to cope with.…”

Section: Resultsmentioning

confidence: 99%

Unlucky at work, unlucky in love: job loss and marital stability

Keldenich

Luecke

2020

Rev Econ Household

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This paper analyses the relationship between a husband’s job loss and marital stability, focusing on involuntary employment terminations due to plant closures or dismissals. Using discrete survival analysis techniques on data from the German Socio-Economic Panel, we find plant closures and dismissals to be associated with a 54 and 74% higher risk of marital dissolution respectively, though the strength of association varies significantly by how long ago the change in employment status occurred. We extend the previous literature by considering heterogeneity in the relationship depending on whether new employment was found. Our analysis shows that the dissolution risk remains elevated even in couples where the husband has taken up a new position. Surprisingly, the relative risk of dissolution following the first period in a new job after a job loss is about the same as the relative risk of dissolution following the first period without employment. The relationship between finding a new job and marital dissolution appears to be mediated by changes in working hours as well as wages. In two extensions, we also consider the role of the wife’s employment status in moderating the relationship and show that a wife’s job loss is not associated with a similar increase in the probability of divorce as a husband’s.

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Heterogeneity in unemployment state dependence

Cited by 15 publications

References 11 publications

Individual heterogeneity and capture–recapture models: what, why and how?

Individual heterogeneity and capture–recapture models: what, why and how?

When There is No Way Up: Reconsidering Low‐paid Jobs as Stepping‐stones

Unlucky at work, unlucky in love: job loss and marital stability

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