Remaining active in the labour market: Trends and characteristics of the over 50s
| Aug 06, 2019
About this article
Article Category: Research Article
Published Online: Aug 06, 2019
Page range: 16 - 25
DOI: https://doi.org/10.2478/ijm-2018-0007
Keywords
© 2018 Thomas Turner, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Figure 1
Occupational shares, 1998 and 2014
| Professional | White collar/skilled | Service/Manual | |||||||
|---|---|---|---|---|---|---|---|---|---|
| 1998 | 2014 | Trend | 1998 | 2014 | Trend | 1998 | 2014 | Trend | |
| % | % | % | % | % | % | ||||
| 15 - 64 | 36 | 38 | +2 | 26 | 26 | 0 | 38 | 36 | -2 |
| 50 - 64 | 47 | 35 | -12 | 19 | 31 | +12 | 34 | 34 | 0 |
| 50 - 54 | 44 | 36 | -8 | 21 | 29 | +8 | 35 | 35 | 0 |
| 55 - 59 | 48 | 36 | -12 | 17 | 31 | +14 | 35 | 33 | -2 |
| 60 - 64 | 53 | 29 | -24 | 17 | 35 | +18 | 29 | 36 | +7 |
Employees, the self-employed and employers between 50 and 64 active in the labour market, 1998 and 2014
| Employer | Self-employed | Employees | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Age | 1998 | 2014 | Trend 1998-2014 | 1998 | 2014 | Trend 1998-2014 | 1998 | 2014 | Trend 1998-2014 |
| % | % | % | % | % | % | ||||
| 50-64 | 11* | 7 | -4 | 22 | 17 | -5 | 67 | 76 | +9 |
| 50-54 | 10 | 6 | -4 | 19 | 14 | -5 | 71 | 80 | +9 |
| 55-59 | 11 | 7 | -4 | 23 | 17 | -6 | 66 | 76 | +10 |
| 60-64 | 13 | 9 | -4 | 30 | 24 | -6 | 57 | 67 | +10 |
Gender and part-time work, 1998 to 2014 (employees only)
| Part-time employees | Male part-time | Female part-time | |||||||
|---|---|---|---|---|---|---|---|---|---|
| 1998 % | 2014 % | Trend | 1998 % | 2014 % | Trend | 1998 % | 2014 % | Trend | |
| 50 - 64 | 21 | 28 | +7 | 8 | 13 | +5 | 43 | 42 | -1 |
| 50 - 54 | 21 | 26 | +5 | 8 | 9 | +1 | 42 | 41 | -1 |
| 55 - 59 | 21 | 26 | +5 | 9 | 13 | +4 | 42 | 38 | -4 |
| 60 - 64 | 23 | 29 | +6 | 10 | 21 | +11 | 49 | 55 | +6 |
Association between education, gender, being married, having children, and remaining active (QNHS, 2014) (Dependent variable: 1=Remaining active; 0=Not active. Odds ratios and significance reported in the table).
| Binary logistic regression | ||||||
|---|---|---|---|---|---|---|
| 50 to 64 | 50-64 | 50- 64 | 50 to 54 | 55 to 59 | 60 to 64 | |
| All | Female | Males | All | All | All | |
| Being male | 3.2** | / | / | 5.0** | 3.4** | 2.7** |
| Junior Certificate | 1.7** | 1.4** | 2.1** | 1.8** | 1.8** | 1.2** |
| Leaving Certificate | 2.9** | 3.2** | 2.7** | 2.7** | 3.7** | 2.1** |
| Post-Leaving education | 3.7** | 5.3** | 1.9** | 7.9** | 3.6** | 1.5* |
| Higher certs/ diplomas | 3.9** | 5.0** | 2.7** | 7.1** | 5.2** | 1.4 (ns) |
| Higher educational levels | 5.5** | 6.8** | 4.1** | 12.7** | 6.9** | 1.7 (ns) |
| Referent: primary / lower education | ||||||
| Being marrieda | 1.0 (ns) | -1.3* | 1.6** | 0.89(ns) | 1.0(ns) | 0.8 (ns) |
| Having childrenb | 1.5** | 1.2** | 1.8** | 1.9(ns) | 1.1(ns) | 1.2(ns) |
| Nagelkerke R2 | 0.16 | 0.12 | 0.07 | 0.21 | 0.17 | 0.1 |
| Chi.Sq. | 881** | 350** | 166** | 427** | 310** | 164** |
| % correctly predicted | 70% | 65% | 79% | 78% | 74% | 63% |
| N (unweighted) | 7385 | 3786 | 3599 | 2841 | 2436 | 2108 |
People active in the labour market 1998 and 2014 (includes the employed and unemployed)
| Active in labour force* | Men | Women | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1998 | 2007 | 2014 | 1998 to 2014 | 1998 | 2007 | 2014 | 1998 to 2014 | 1998 | 2007 | 2014 | 1998 to 2014 | |
| Age | % | % | % | % | % | % | % | % | % | |||
| 50-64 | 52 | 63 | 66 | +14 | 72 | 76 | 76 | +4 | 31 | 49 | 55 | +24 |
| 50-54 | 64 | 75 | 77 | +13 | 85 | 87 | 87 | +2 | 42 | 64 | 67 | +25 |
| 55-59 | 51 | 63 | 69 | +18 | 72 | 78 | 79 | +7 | 30 | 49 | 58 | +18 |
| 60-64 | 35 | 46 | 48 | +13 | 53 | 61 | 59 | +6 | 17 | 31 | 38 | +21 |
| 65-69 | 15 | 19 | 19 | +4 | 24 | 27 | 27 | +3 | 5 | 10 | 12 | +7 |