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Longitudinal Analysis of the Domains of Satisfaction Before and After Disability: Evidence from the German Socio-Economic Panel

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Abstract

The aim of this paper is to analyse the effect of the onset of disability on life satisfaction and five different domains of satisfaction (health, household income, housing, job, leisure) for German individuals. Particular attention is paid to examining whether individuals can adapt to disability over time before and after its onset in terms of satisfaction. Using longitudinal data from the German Socio-Economic Panel (GSOEP) for the period 1984–2008, we estimate an innovative fixed-effects model on life satisfaction and each domain of satisfaction for working-age males (aged 21–58), which allows us to estimate lag and lead effects and thus to test the anticipation and adaptation hypotheses. Although individual obtain complete adaptation to disability in terms of global life satisfaction (5 years after the onset), this adaptation is not complete in all domains of satisfaction. For example, despite the fact that the levels of health satisfaction drop as the individual becomes disabled, after the onset it increases but the levels are lower than those reached before the onset. In contrast, the adaptation is especially faster in the terms of leisure satisfaction (3 years after the onset), household income and housing satisfaction (5 years after the onset in both cases). Our results support the findings obtained in other psychological studies that conclude that the domain of disability extends far beyond health related concerns to encompass the person’s well-being definition of self and social position. Finally, these findings may help policy makers and government to promote social and economic measures and actions lead to increase the scores of global well-being and specific domains of satisfaction of this collective.

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Notes

  1. For more information on the GSOEP data, see, for example, Warner et al. (2007).

  2. The GSOEP also includes data on how satisfied individuals are with their personal income, child care (if they have small children), family life, volunteer work (if they do any) and insurance (for health care, unemployment, pension, and nursing care). However, these domains of satisfaction are only asked in a few waves. For example, satisfaction with personal income is only available from 2005 onwards, whereas satisfaction with family life is only asked in 2006, 2007 and 2008.

  3. In 2001, the work limitation question in the GSOEP was: Aside from minor illnesses, does your health prevent you from completing everyday tasks like work around the house, paid work, studies, etc.? (Yes/No) To what extent? (Not at all/Slightly/Greatly). This question is the closest one to that included in the CPS. In the CPS every working-age individual in the household is required to answer (in March of the survey year) the following question: “Do you have a health problem or disability which prevents work or which limits the kind or amount of work you can do?” (Yes/No). Those individuals who respond “Yes” are considered disabled.

  4. The variable “degree of disability” is obtained from the following question: “Are you officially registered as having a reduced capacity to work or as being severely disabled? If Yes, what is the degree of your disability?” The degree of disability ranges from 0 (not disabled) to 100 (severely disabled).

  5. If we denote the number of individuals in the data set by N and the number of time periods over which we have information on the individual by T, in balanced panels (in which we have the same number of observations on every individual) we will have NT observations.

  6. This includes those individuals who remain disabled throughout all of the years and are observed within the panel. In this case, we cannot identify any transition between disability and non-disability status. In addition, the number of observations excluded from the estimation analysis is very low.

  7. Although men and women with disabilities are subject to discrimination because of their disabilities, women with disabilities are at a further disadvantage because of the combined discrimination based on disability: they battle gender issues as well as a mental or physical disability. In addition, while men with disabilities have serious employment problems, women with disabilities are significantly worse off and this seems to be true for all types and levels of disabilities.

  8. This total number of males who experience the onset of disability within our panel (504) is greater than that observed in other longitudinal studies on disability. For example, there are 280 individuals (males + females) who experienced disability onset in the work of Jenkins and Riggs (2004).

  9. In contrast, the model used by Oswald and Powdthavee (2008) weights each previous year of disability (variable “Past disability from t − 1 to t − 3”) in the same way.

  10. Clark et al. (2008) include in this Eq. (1) dummy variables from D 0it to D 5it .

  11. Jenkins and Riggs (2004) conclude that those individuals who become disabled, compared to those who do not became disabled, are older, have lower household income, are less likely to be employed and have lower educational levels.

  12. Due to definition of our disability measure, all individuals with a satisfaction with health of at most 2 are considered as disabled. For this reason, Table 4 of "Appendix" shows zeros in the health satisfaction scores 0, 1 and 2 for non-disabled individuals.

  13. We have to remember that the GSOEP contains information on the levels of satisfaction of individuals with their personal income but it is only available from 2005 onwards.

  14. Similar to Clark et al. (2008) and Pagan (2010), we have tested the robustness of the estimation results shown in Table 1. Firstly, we have re-estimated all anticipation and adaptation equations without including the household income variable in order to check the existence of a possible problem of endogeneity. The results obtained in all cases are very similar to those shown in Table 1. Secondly, we have considered each measure of satisfaction as ordinal variables and have estimated conditional fixed-effects logits (using a binary dependent variable that take the value 1 if the level of satisfaction ranges between 0 and 7, and zero if it is between 8 and 10). Once again, the results are very similar and do not change the conclusions reached in our study.

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Acknowledgments

The author thanks Prof. Richard Lucas for his useful comments and suggestions. I also thank Prof. Richard Burkhauser for providing the data used in this study and all participants in the SOEP 2010 Conference held in Berlin.

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Correspondence to Ricardo Pagán-Rodríguez.

Appendix

Appendix

See Tables 3 and 4.

Table 3 Mean reported satisfaction scores and percentage of highly satisfied (satisfaction score equals or greater than 7 on the scale 1–10) by disability status for males aged 21–58 during the period 1984–2008
Table 4 Two-way table of frequencies of the variable “health satisfaction” and “disability” and mean of life satisfaction

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Pagán-Rodríguez, R. Longitudinal Analysis of the Domains of Satisfaction Before and After Disability: Evidence from the German Socio-Economic Panel. Soc Indic Res 108, 365–385 (2012). https://doi.org/10.1007/s11205-011-9889-3

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