A Practical Guide to Using Panel Data

Longhi, Simonetta; Nandi, Alita

doi:10.4135/9781473910485

Cited by 55 publications

(44 citation statements)

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“…Independent variables captured (a) the impact of the baseline (i.e., the duration of the union over the years of the BHPS); (b) the effects of a time‐varying variable that is a continuous function of the duration of the BHPS (e.g., the age of the partners, number of previous migrations/moves, time since the last migration/move, the length of the union in months from the time it started, and the age of the couple's children); (c) the values of a time‐constant variable (e.g., gender, race, religion age when union started, age difference in the couple, and attitudes to gender roles); and (d) the effects of time‐varying variables whose values can change only at discrete times (e.g., level of education, employment status and occupational status and the changes in those). To test the proportional hazard assumption, we fitted models where some covariates (e.g., distance of migration, reasons for migration, and changes in both partners' employment and occupational characteristics) have both time‐invariant and time‐variant components (i.e., the main effect and the interaction with the time variable; Statacorp 11 2009; Longhi & Nandi, ; Boyle, Feng, & Gayle, ). To control for the clustering of events within individuals and possible unobserved determinants of union dissolution, we fitted our models with robust standard errors.…”

Section: Methodsmentioning

confidence: 99%

Moving on and moving out: The implications of socio‐spatial mobility for union stability

Shapira

Gayle

Graham

2018

Population Space and Place

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This study explores the role of family migration in the life course of couples. We ask whether internal migration and residential mobility for contemporary dual-earner couples has negative consequences for the stability of their partnership and investigate whether any negative changes in partners' employment characteristics following family migration are associated with higher risks of dissolution of their unions. We use the British Household Panel Survey, which provides nationally representative data on households and couples, over the period of 18 years and has a wide range of potentially important prospective and retrospective information on households and individuals.We undertake a duration analysis of union dissolution by modelling the hazard of union dissolution. The findings show that union stability is affected by spatial movesgeographically mobile couples are at higher risk of union dissolution. Long-distance internal migration and frequent moves increase the risk, whereas short-distance residential moves are associated with greater union stability. Overall, we found that the negative effect of family migration on union stability is relatively small and decreases over the time. Similarly, positive effects that some types of family migration might have on union stability also tend to decrease over the time. We found that the risk of union dissolution is better explained by partners' socio-demographic characteristics (age and level of education), and by the characteristics of their union such as its type and duration. Union stability is also associated with the employment and occupational characteristics of both partners, as well as with changes in these characteristics. Negative changes in occupational position or employment status of either partner, but especially of the male partner, increase the risk of union dissolution. However, the effect of changes in the employment characteristics of each partner on the union stability is relatively small and tend to disappear over the time. We found some evidence that the impact of the negative changes in employment characteristics of geographically mobile couples postmigration on the stability of their union is mediated by the gender of the partner who experienced these changes. Negative changes in the employment status of the male partner postmigration slightly increase the risk of union dissolution, whereas negative changes in female partner's employment postmigration slightly decrease that risk. We found that the risk to the union's stability is highest immediatelyThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Methodsmentioning

confidence: 99%

Moving on and moving out: The implications of socio‐spatial mobility for union stability

Shapira

Gayle

Graham

2018

Population Space and Place

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“…3% thereon (1995–2004) [ 29 ]. Data are weighted to produce unbiased parameter estimates of the GB population for that year using the supplied cross-sectional weights that correct for sample design and non-response (including attrition) and allow for new entrants [ 30 ]. For further detail on the construction of weights, see Brice et al [ 28 pp.…”

Section: Methodsmentioning

confidence: 99%

Time trends in mental well-being: the polarisation of young people’s psychological distress

Ross

Kelly

Sacker

2017

Soc Psychiatry Psychiatr Epidemiol

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PurposePrevious research on time trends of young people’s mental health in Britain has produced conflicting findings: evidence for deterioration in mental health during the late 20th century followed by stability and slight improvement during the early 21st century is contrasted with evidence showing continued deterioration. The present study adds to the evidence base by assessing time trends in means, variances, and both low and high psychological distress scores covering a similar period.MethodsGHQ-12 (Likert scale) was regressed on time (adjusting for age) using a sample of young people aged 16–24 between 1991 and 2008 from the British Household Panel Study. Change in variance was assessed using Levene’s homogeneity of variance test across 9-year intervals. Polarisation was assessed by a comparison of the prevalence of scores ≥1 standard deviation and ≥1.5 standard deviations above and below the pooled mean.ResultsThere was a small but significant increase in mean GHQ-12 among young women (b 0.048; 95% CI 0.016, 0.080) only. Variance increased significantly (p < 0.05) across 9-year intervals in seven out of nine comparisons for women and in six out of nine comparisons for men. There were significant increases in low (OR: 1.19; 95% CI 1.05, 1.35), high (OR: 1.27; 95% CI 1.13, 1.42), and very high scores (OR: 1.42; 95% CI 1.23, 1.64) for young women, and increases in low (OR: 1.39; 95% CI 1.21, 1.59) and very low (OR: 1.53; 95% CI 1.21, 1.92) scores for young men.ConclusionsThe evidence suggests a polarisation of the psychological distress of young women in Britain between 1991 and 2008.

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“…Two major approaches to panel data analysis exist: random-effects and fixed-effects estimates. Both techniques allow controlling for certain types of individual time-invariant factors that are unobserved in the data, also known as unobserved individual heterogeneity (Torres-Reyna, 2007;Longhi and Nandi, 2015). When using fixed-effects models, the underlying assumption is that something within the individual may affect the dependent and independent variables and it is necessary to control for this.…”

Section: Methodsmentioning

confidence: 99%

[Withdrawn] Fear of the Known or the Unknown? Neighbourhood Dynamics and Individual-Level Sympathy for the Dutch Populist Radical Right

Heerden¹,

Ruedin²

2020

Preprint

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Over the past two decades populist radical right parties have become established political actors in many European countries. We examine to what extent the share of immigrants in a neighbourhood is associated with popular support for the Dutch Freedom Party (PVV). We examine individual-level changes in sympathy for the PVV using panel data, complemented with geo-spatial data to capture the share of immigrants at the level of the neighbourhoods. We use fixed-effect multilevel models for the period 2007–2014. In line with contact theory, an increased share in the proportion immigrants is associated with a decrease in sympathy for the PVV. This is particularly the case for an increase in the proportion of non-Western immigrants in the neighbourhood. At the same time, respondents who have moved to a neighbourhood with more immigrants within the period under analysis, have significantly more sympathy for the PVV. In addition, we find a statistical interaction effect for Western immigrants: Residents of traditionally ‘native’ neighbourhoods express more sympathy for the PVV when Western immigrants move in, than do residents of neighbourhoods that have been of mixed composition for a longer time.

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A Practical Guide to Using Panel Data

Cited by 55 publications

References 0 publications

Moving on and moving out: The implications of socio‐spatial mobility for union stability

Moving on and moving out: The implications of socio‐spatial mobility for union stability

Time trends in mental well-being: the polarisation of young people’s psychological distress

[Withdrawn] Fear of the Known or the Unknown? Neighbourhood Dynamics and Individual-Level Sympathy for the Dutch Populist Radical Right

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