| Literature DB >> 35602003 |
Philipp Linden1, Nadine Reibling1.
Abstract
The literature on the social legitimacy of welfare benefits has shown that sick persons are perceived more deserving than unemployed individuals. However, these studies examine sick and unemployed persons as distinct groups, while unemployment and sickness are in fact strongly related. Policymakers across Europe have been increasingly concerned with discouraging a medicalization of unemployment and activating sick unemployed persons. Therefore, it is crucial to understand welfare attitudes toward this group. Using a factorial survey fielded with a representative sample of German-speaking adults (N=2,621), we investigate how sickness affects attitudes toward a hypothetical unemployed person on three dimensions: benefit levels, conditions, and sanctions. Respondents allocated similar benefit levels to unemployed persons regardless of whether they have an illness. Yet, they were more hesitant to apply existing conditions (e.g., active job search, job training) or sanction benefits when the unemployed person was also sick. This is except for conditions that tie benefits to obligatory health services (back training or psychological counseling) which was supported by the majority of respondents. Our research shows that the German public is not more generous and only partially more lenient toward sick unemployed persons as there is strong support for conditions targeted at overcoming ill health for this group. The findings underscore that sickness matters for how unemployed persons are perceived, but the impact varies across different dimensions of welfare attitudes.Entities:
Keywords: deservingness; factorial survey; medicalization; sickness; social legitimacy; social policy; unemployment; vignette study
Year: 2022 PMID: 35602003 PMCID: PMC9120940 DOI: 10.3389/fsoc.2022.738397
Source DB: PubMed Journal: Front Sociol ISSN: 2297-7775
Vignette dimensions, levels, and coding.
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| Name of unemployed person | Mr. Bergmann|Mr. Yildirim | 1|2 | Identity |
| Age of unemployed person | 25|40|60 | 1|2|3 | Reciprocity |
| Reason for unemployment | Social—Personal misconduct | 1 | Control |
| Economic—Bankruptcy of employer | 2 | ||
| Medical—Chronic backpain | 3 | ||
| Psychological—Depression | 4 | ||
| Family status | Single|Married, no kids| | 1|2|3 | Need |
| Motivation | Less|Very | 1|2 | Attitude |
| Missed appointments | 1st time|2nd time | 1|2 | Attitude |
Descriptive statistics of respondent characteristics after MICE.
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| Age | ||
| 18–39 | 731 | 27.89 |
| 40–60 | 1,028 | 39.22 |
| 60+ | 862 | 32.89 |
| Region | ||
| Western Germany | 2,093 | 79.38 |
| Eastern Germany | 528 | 20.62 |
| Migration background | ||
| No | 2,353 | 89.77 |
| Yes | 268 | 10.23 |
| Experience in survey related profession | ||
| No | 2,391 | 91.22 |
| Yes | 230 | 8.78 |
| Unemployed in last 10 years | ||
| No | 1,753 | 66.88 |
| Yes | 868 | 33.12 |
| Income (in Euro) | ||
| Below 500 | 272 | 10.38 |
| 500–999 | 411 | 15.68 |
| 1,000–1,999 | 1,063 | 40.56 |
| 2,000–2,999 | 629 | 24.00 |
| 3,000 and more | 246 | 9.39 |
| Self-reported health status | ||
| Poor | 80 | 3.05 |
| Fair | 299 | 11.41 |
| Good | 942 | 35.94 |
| Very good | 1,066 | 40.67 |
| Excellent | 234 | 8.93 |
| Quasi-metric variables |
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| Age | 48.53 | 0.363 |
| Political self-assessment | 4.75 | 0.185 |
| Self-reported health status | 2.42 | 0.039 |
Vignette study (N = 2,621), own weighted sample calculations.
Figure 1Allocation of unemployment benefits, minimum income benefits and sanctions with 95%-confidence intervals for different reasons of unemployment. Vignette study (N = 2,621), own weighted sample calculations. Bar heights (in %) and absolute values (in Euro) reflect predicted mean values of corresponding variables.
OLS regression of allocation of unemployment benefits, minimum income benefits and sanctions on vignette dimensions and respondent characteristics.
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| Reason | |||
| Personal misconduct | −6.78 | −50.83 | 1.03 [1.49] |
| Chronic back pain | 0.79 [0.85] | 3.45 [12.39] | −3.78 |
| Depression | −1.16 [0.96] | 23.05 [12.94] | −4.32 |
| Name | |||
| Mr. Yildirim | −6.42 | −64.15 | 4.39 |
| Age | |||
| 40 | 0.88 [0.84] | 20.37 [10.97] | −0.19 [1.26] |
| 60 | 2.72 | 40.35 | −2.77 |
| Family status | |||
| Married, no kids | 0.53 [0.79] | 34.46 | −0.37 [1.23] |
| Married, 3-year-old child | −0.40 [0.80] | 60.76 | −0.82 [1.20] |
| Motivation | |||
| Low | −4.65 | −51.59 | 2.90 |
| Missed appointments | |||
| 2nd time | 11.66 | ||
| Respondent characteristics | |||
| Gender | |||
| Female | 1.03 [0.72] | −10.00 [9.40] | 1.45 [1.05] |
| Education | |||
| Primary level | −0.30 [1.67] | 43.72 | 0.23 [2.33] |
| Tertiary level | −1.53 [0.83] | 2.58 [12.32] | −3.22 |
| Region | |||
| Eastern Germany | 0.17 [0.85] | −38.81 | 0.74 [1.28] |
| Age | |||
| 18–39 | −2.48 | −41.00 | 2.75 |
| 60+ | −0.73 [0.73] | 2.96 [10.65] | 0.11 [1.20] |
| Migration background | |||
| Yes | −1.05 [1.27] | 8.96 [16.02] | 2.93 [1.76] |
| Employed in survey-related job | |||
| Yes | −0.32 [1.28] | 11.92 [17.80] | −0.08 [2.01] |
| Unemployed in last 10 years | |||
| Yes | 2.53 | 39.80 | −3.55 |
| Income in Euro | |||
| Below 500 | −2.53 | −11.27 [16.81] | −1.25 [1.83] |
| 500–999 | −2.18 [1.14] | 10.77 [13.67] | −1.97 [1.64] |
| 2,000–2,999 | 0.17 [1.08] | 4.15 [13.93] | −1.65 [1.52] |
| 3,000 and more | −3.21 | 16.01 [18.35] | 0.26 [2.05] |
| Self-reported health ( | |||
| Poor | 4.24 | −9.65 [29.47] | 1.33 [3.36] |
| Fair | 1.04 [1.33] | −0.54 [15.49] | −1.84 [1.73] |
| Very Good | 1.12 [0.78] | −0.01 [10.57] | 0.61 [1.16] |
| Excellent | 2.08 [1.28] | −5.52 [19.01] | 4.59 |
| Political self-assessment | −0.82 | −13.81 | 2.43 |
| Constant | 77.29 | 598.00 | 5.47 |
| Model diagnostics | |||
| F-Test of overall significance | 11.92 | 9.89 | 11.91 |
| Df | 27; 1730.2 | 27; 1806.7 | 28; 1515.9 |
| Probability > F | <0.001 | <0.001 | <0.001 |
| R2 | 0.115 | 0.102 | 0.080 |
| Adjusted R2 | 0.106 | 0.092 | 0.070 |
| Observations (Vignette | 2,621 | 2,621 | 2,621 |
Vignette study (N = 2,621), own weighted sample calculations. Unstandardized weighted coefficients with standard errors in brackets. Ref. = Reference group.
p < 0.05,
p < 0.01,
p < 0.001 (two-tailed).
Figure 2Expected behavior for receiving the full amount of minimum income benefits for different reasons of unemployment. Vignette study (N = 2,621), own weighted sample calculations.
Figure 3Multivariate logistic regression coefficients and 95% confidence intervals of approval ratings for obligations to receive full minimum income benefits for different reasons of unemployment. Vignette study (N = 2,621), own weighted sample calculations. Point estimates rescaled to percentage values. Model setup is the same as in the OLS-specification of benefits and sanctions (Table 3).