Employment and Social Developments in Europe (ESDE) 2024

Chapter 3 - The role of social investment
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The role of social investment

3. Selected types of social investment

3.4. Investing in Active Labour Market Policies

Well-functioning and effective active labour market policies (181) can provide economic and social returns in the medium to long term. Research suggests that investment in ALMPs is associated with economic growth and positively impacts employment by helping to reduce labour mismatches and shortages, equipping workers with relevant skills, supporting job transitions, and strengthening labour market participation of underrepresented groups. (182) Evidence shows that job search assistance programmes are more effective for disadvantaged participants, while employment subsidies and training work better for long-term unemployed people. A review of studies on evaluations of ALMPs found that the average impact of ALMPs increases in the medium to long-term, that women and long-term unemployed people tend to benefit more than other demographic groups, and that ALMPs have more positive effects during recessions. Design and implementation of programmes also play a role in ALMPs’ efficacy, which may depend on the availability of other social policies, including access to ECEC. (183) In light of rapid technological advances and changing skills needs, reinforcing investment in ALMPs through lifelong learning policies is key to maximise returns.(184)

According to impact evaluation studies, spending on ALMPs can yield positive returns in the longer term, including longer working careers, with corresponding tax revenue, social security contributions and better pensions for workers. (185) A recent evaluation identified positive fiscal effects for a direct job creation scheme in Austria in the long run, focused on disadvantaged groups. (186) For social outcomes, ALMPs have poverty-reducing effects, particularly for those with lower levels of skills.(187) Recent policy impact evaluations in Germany also found positive effects of ALMP participation on well-being. (188) However, more evidence is needed from microeconomic evaluations of the social outcomes of ALMPs to better understand their social investment returns for health, well-being, and education-related outcomes, as well as to compare the efficiency of spending on different types of ALMPs.

Chart 3.11
Investment in ALMPs is projected to increase employment during and after the investment period

Expected impact on employment of investment in labour supply increasing intervention fields of the ESF+, 2021-2027 programming period, by income quintile (% deviation from baseline)

Investment in ALMPs is projected to increase employment during and after the investment period

Note: Income quintile 5 indicates the richest quintile, and quintile 1 the poorest.

Source: JRC calculations based on RHOMOLO model.

Investment in ALMPs can have positive effects on employment and GDP well beyond the timeframe of the original investment.Simulations using the RHOMOLO model (Box A3.2 in the Annex) estimate the long-term effects of increasing the labour supply through ALMP interventions funded through ESF+ in the 2021-2027 programming period. Regional ESF+ investments in ALMPs are expected to improve employment outcomes in the 20 years following the original investment, reaching a peak of +0.11% in 2027 (Chart 3.11). The investments are also projected to raise economic activity in the long-term, more than offsetting the initial investment, increasing EU GDP by approximately 0.029% per year, even 20 years after the start of the programme (Chart 3.12). (189)

Targeted investments in ALMPs at regional level can contribute to socioeconomic convergence between regionsIncreases in labour supply in the targeted regions are projected to lead to a reduction in regional disparities in GDP per capita, with EU regions with lower baseline GDP per capita growing faster, prompting a catching-up effect. That catching-up effect is expected to be sustained in the long term, with regions with lower baseline GDP per capita still projected to have stronger increases in per capita GDP 20 years after the beginning of the investment period (Chart 3.13, left). (190) The rate of change towards upward regional economic convergence is stronger in the short term. (191) The analysis also points to increased employment and upward social convergence in employment levels during the period of deployment of funds and beyond. (192) Regions with lower initial employment rates are projected to witness stronger increases in employment for the years where the funds are disbursed, (193) leading to a reduction in disparities between regions during the programming period. However, this catching-up effect is not expected to be sustained in the long term (Chart 3.13, right).

Chart 3.12
Investment in ALMPs can lead to long-term GDP gains

Expenditure on labour supply increasing intervention fields of ESF+ programmes, 2021-2027 programming period (blue bars, % over baseline GDP) and expected impact on GDP (green line, % deviation from baseline GDP)

Investment in ALMPs can lead to long-term GDP gains

Source: JRC calculations based on RHOMOLO model.

Chart 3.13
Investment in ALMPs is projected to contribute to upward regional convergence in GDP and employment rates

EU-level change in GDP compared to baseline and variation across regions, 2021-2040 (left). Average change in employment levels and variation across regions 2021-2040 (right).

Investment in ALMPs is projected to contribute to upward regional convergence in GDP and employment rates Investment in ALMPs is projected to contribute to upward regional convergence in GDP and employment rates

Note: Standard deviation is a measure of regional variation, the higher the standard deviation, the higher the regional variation.

Source: JRC calculations based on RHOMOLO model.

Investments in ALMPs also have positive impacts on employment-related earnings and social outcomes.A European Commission-OECD project applies CIEs to generate new causal evidence based on national administrative and survey data. The evaluations showed positive impacts of vocational training programmes in Lithuania and Finland on employment and income, particularly for women and older jobseekers. (194)Recently, CIEs were conducted for wage subsidies and training programmes in Greece (Box 3.5) and public work programmes in Ireland (Box 3.6).

Box 3.5: Impact evaluations of wage subsidy and training programmes in Greece

Recent evidence in Greece suggests that wage subsidies have a positive effect on employment and earnings, with participants almost twice as likely to be employed after three years. Jobseekers participating in the wage subsidy programmes evaluated were more likely than non-participants to become employed and to spend more days in employment (Chart 1). While the largest impacts are observed immediately after individuals enter the programme, positive employment effects persist even months after the programme ends. More specifically, three years after entering the programme, wage subsidy participants are almost twice as likely to be employed as similar individuals in the comparison group. Wage subsidies are particularly effective at boosting employment for long-term unemployed people, compared to participants who have been unemployed for less than one year. (1)

Three Greek training programmes have increased the probability of employment, particularly for younger people and those with higher levels of education. One programme offers training in high-demand sectors, while the two others provide tertiary education graduates with ICT training (targeting individuals aged 25-29 and 30-45 years). One year after starting a training programme, CIEs show that the probability of employment is 7 pp higher for training participants compared to similar non-participants, reaching 9 pp two years after entering the training. Training programmes are effective for many different groups of jobseekers, especially for younger people and those with higher levels of education. For instance, two years after entering training programmes, men and women under 30 are more likely to be employed than similar jobseekers who do not participate in training (19 pp and 16 pp, respectively). The higher effect for jobseekers with higher education levels is somewhat driven by ICT training, which is available to jobseekers with tertiary education.

Chart 1
Wage subsidies in Greece are particularly effective for certain groups, including long-term unemployed people

Effect in employment probability (pp) 36 months after starting wage subsidy programmes

Wage subsidies in Greece are particularly effective for certain groups, including long-term unemployed people

Note: The analysis presents nearest-neighbour propensity score matching results which matches individuals based on several characteristics. More information can be found in (OECD, 2024b).

Source: (OECD, 2024b).


  • 1. (OECD, 2024b)

Box 3.6: Evaluation of job creation schemes in Ireland

In Ireland, two direct job creation schemes were found to have positive effects on earning outcomes for (mostly long-term unemployed) participants. The research found that, after initial lock-in effects, the Community Employment (CE) scheme, (1) which primarily targets people who have been unemployed for more than 12 months, has a positive impact on total annual earnings, raising the probability of any earnings in a given year and annual weeks of employment in the regular labour market. More specifically, CE participants earn around EUR 2 000 per year more than matched non-participants and work an average of four weeks longer per year. The Tús (Start) scheme, a community work placement scheme offering short-term work opportunities for long-term unemployed people, was also found to have a positive, albeit modest, impact on the number of jobseekers exiting the unemployment register, as well as a lasting positive effect on earnings (Chart 1). (2)

Chart 1
Women and younger jobseekers experience a greater boost in earnings following participation in Ireland’s Tús scheme

Impact of Tús on earnings, by sex, unemployment duration and age

Women and younger jobseekers experience a greater boost in earnings following participation in Ireland’s Tús scheme

Source: (OECD, 2024a) calculations based on Department of Social Protection administrative data.

The two schemes have positive impacts on social outcomes, with different effects on specific groups of long-term unemployed people. Participation in CE reduces future reliance on disability allowance and enhances take-up of education subsidies, indicating that the scheme has possible broader health and engagement in education effects. Six years after starting CE, former participants are 6 pp less likely to receive disability allowance, compared to similar participants who did not enter the scheme. This impact is even stronger for older jobseekers. Younger CE participants seem to benefit more in respect of labour market outcomes. For the Tús scheme, women, and jobseekers under 30 experienced a slightly greater increase in their earnings (Chart 1).


  • 1. CE is a public work programme and is one of the most widely used ALMPs for long-term unemployed people in Ireland. Its main objectives are to connect jobseekers with the labour market to increase employment levels and to promote social inclusion, as it seeks to reduce social isolation and social barriers for jobseekers.
  • 2. (OECD, 2024a)

Notes

  • 181.‘Active labour market policies (ALMPs) are publicly financed interventions intended to improve the functioning of the labour market by inducing changes in labour demand and labour supply, as well as their matching process. Specifically, these policies aim to preserve existing jobs and create new employment opportunities, encouraging labour market attachment and the reintegration of long-term unemployed and inactive individuals, and facilitating the job-search and job-matching process. In practice, they target labour market outsiders – all unemployed and inactive individuals’ (Ernst et al., 2022).
  • 182.(Sakamoto, 2020) ; (Card, Kluve and Weber, 2018) ; (Levy-Yeyati, Montané and Sartorio, 2019).
  • 183.(Kluve et al., 2019); (Plavgo and Hemerijck, 2021); (Nieuwenhuis, 2022).
  • 184.(European Commission, 2016).
  • 185.(Brown and Koetti, 2012).
  • 186.(Walch and Dorofeenko, 2020).
  • 187.(Rovny, 2014); (Cammeraat, 2020); (European Commission, 2016).
  • 188.(Tübbicke and Schiele, 2023).
  • 189.Funds are expected to be disbursed over 10 years in accordance with the time profile detailed in Table A.3 in the Annex. On average, ESF+ spending reaches 0.023% of GDP over the 10 years.
  • 190.Beta coefficient is negative (-0.0006 and -0.0005, respectively) and statistically significant at 1% level, measured at year 10 and year 20, respectively, relative to baseline.
  • 191.This long-term effect is even more pronounced and sustained until 2040, when considering the coefficient of variation of the GDP per capita indicator, a relative measure (see discussion in Chapter 2).
  • 192.Measured relative to the regional population.
  • 193.Beta coefficient is negative (-0.0004) and statistically significant at 1% level, measured at year 5 relative to baseline.
  • 194.(European Commission, 2023b)