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Integrating the Three Measures of Economic Vulnerability

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Revisiting Economic Vulnerability in Old Age

Part of the book series: Life Course Research and Social Policies ((LCRS,volume 11))

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Abstract

This chapter focuses on the relationship between all three measures of economic vulnerability (Objective/income poverty, Self-Assessed/difficulties in making ends meet, Perceived/worry about not having enough money) and how they relate to the variable block Psychosocial Symptoms and Consequences. A comparison of models based on different thresholds for the Objective Measure will allow us to observe trends in the strength of association between measures of economic vulnerability and psychosocial variables.

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Notes

  1. 1.

    As laid out in the introduction of this chapter, the interest here is to model – as parsimoniously as possible – the relationship between the three proposed measures of economic vulnerability and their relationship with psychosocial variables. The variable wealth, which has previously been identified as a powerful predictor even for the Perceived Measure, was deliberately not integrated in this model.

  2. 2.

    The variable mastery was recoded into three categories that divide the sample population into three roughly equal-sized shares. The sample distribution of the recoded variable mastery is found in Appendix Table 28.1.

  3. 3.

    For the interpretation of ordinal regression models, only outcome probabilities will be discussed in this chapter. A table reporting the odds ratios is shown in Appendix Table 28.2.

  4. 4.

    X stands for either A or B.

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Appendix

Appendix

Appendix Table 28.1 Sample distribution of the variable mastery, recoded into three categories
Appendix Table 28.2 Ordinal regression models with the Vulnerability Typology as independent variable predicting mastery and recognition, odds ratios are reversed

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Henke, J. (2020). Integrating the Three Measures of Economic Vulnerability. In: Revisiting Economic Vulnerability in Old Age. Life Course Research and Social Policies, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-030-36323-9_28

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