Taxes and benefits

Research articles · Dec 31, 2024

The Effect of Earnings-Related Benefits on Financial Work Incentives

Theano Kakoulidou, Michael Doolan, Barra Roantree

Economic and Social Research Institute, Dublin, Ireland; Trinity College Dublin, Dublin, Ireland; Institute for Fiscal Studies, London, United Kingdom

Volume 17(3) Winter 2024

Cite as: T. Kakoulidou, M. Doolan, B. Roantree; 2024; The Effect of Earnings-Related Benefits on Financial Work Incentives; International Journal of Microsimulation; 17(3); 21–43. doi: 10.34196/ijm.00309

Abstract

In most European Union countries, there is a link between the level of payment provided to those who have lost their job and the level of earnings in that job, at least for an initial period. While this provides valuable insurance to those who lose their job, a stronger link between unemployment benefits and previous earnings can exacerbate the moral hazard created by unemployment insurance. We examine strengthening this link for unemployment benefits in Ireland using SWITCH – a tax and welfare microsimulation model for Ireland – to simulate the financial work incentive impact of a proposed reform to current unemployment benefit policy. We find that implementing an earnings-related unemployment’s benefit leads to reduced short-term incentives to work for all those currently in employment, with the impact being greater for full-time employees.

This article contains 15 figures and 14 tables.

Figures

Figure 1. Cumulative distributions NRRs and PTRs, Baseline and Reform Scenario.
Figure 2. Net Replacement rate, Baseline and Reform Scenario.
Figure 3. Participation Tax Rate by quintile, Baseline and Reform Scenario.
Figure B1. Reform 1 baseline versus 60% of previous earnings with maximum caps based on PUP rates
Figure B2. Net Replacemet Rates, Reform 1 baseline versus 60% of previous earnings with maximum caps based on PUP rates
Figure B3. Participation Tax Rates, Reform 1 baseline versus 60% of previous earnings with maximum caps based on PUP rates
Figure B4. Reform 2: baseline versus 60% of previous earnings with maximum cap set at 60% of mean wage
Figure B5. Net Replacement Rates, Reform 2: baseline versus 60% of previous earnings with maximum cap set at 60% of mean wage.
Figure B6. Participation Tax Rates, Reform 2: baseline versus 60% of previous earnings with maximum cap set at 60% of mean wage.
Figure B7. Reform 3: baseline versus 70% of previous earnings with maximum caps based on PUP rates.
Figure B8. Net Replacement Rates, Reform 3: baseline versus 70% of previous earnings with maximum caps based on PUP rates.
Figure B9. Participation Tax Rates, Reform 3: baseline versus 70% of previous earnings with maximum caps based on PUP rates.
Figure B10. Reform 4: baseline versus 60% of previous earnings with maximum cap set at 43% of mean earnings (to give cost of c. €400m).
Figure B11. Net replacement rates, Reform 4: baseline versus 60% of previous earnings with maximum cap set at 43% of mean earnings (to give cost of c. €400m).
Figure B12. Participation tax rates, Reform 4: baseline versus 60% of previous earnings with maximum cap set at 43% of mean earnings (to give cost of c. €400m).

Tables

Table 1. Income inequality, poverty and additional spending required.
BaselineReform ScenarioDifference
Gini0.27820.2773-0.001 pp
Poverty – Whole population13.63%13.57%-0.06 pp
Poverty – Working age adult population13.31%13.24%-0.07 pp
Elderly poverty*12.20%12.18%-0.02 pp
Children poverty15.77%15.68%-0.09 pp
Fiscal cost€348 million€626 million€278 milion

Note: Authors calculations using the SWITCH v4.6 tax-benefit system for 2019 linked to SILC 2019. Assessment units are defined as being at risk of poverty (poor) if their equivalised disposable income is below the poverty line. The poverty line is defined as 60% of the median equivalised disposable income of the baseline scenario. The CSO equivalence scale is used, which attributes a weight of 1 to the head of the unit, a weight of 0.66 to every person above the age of 13 and a weight of 0.33 to every child aged 0-13. Table B5 in the Appendix provides the income inequality and poverty rates for each of the 4 scenarios.

Changes in the elderly poverty rate are due to a small number of observations and thus should be read with caution.

Table 2. Work incentives.
ScenarioReformMedian NRR (%)Share with NRR > 70% (%)Median PTR (%)Share with PTR > 70% (%)
BaselineBaseline6743451
1Reform scenario78716428

Source: Authors’ estimates using the SWITCH model and data from the 2019 SILC. Results for the 4 scenarios can be found in Table B4 at the Appendix.

Table 3. Median Replacement Rate.
Income quintileBaseline (%)Reform (%)pp change
Poorest677912
2718312
3708313
4677912
Richest637310

Source: Authors’ calculations using SWITCH and data from the 2019 SILC. Table B6 at the Appendix presents the Median RR for the rest of the reforms.

Table 5. Median Participation Tax Rate.
Income quintileBaseline (%)Reform (%)pp change
Poorest477124
2467024
3436724
4456419
Richest476215

Source: Authors’ calculations using SWITCH and data from the 2019 SILC. Table B7 at the Appendix presents the median PTR for the rest of the reform.

Table 4. Share of individuals with Net Replacement Rate greater than 70 per cent
All employeesPart-time employeesFull-time employees
Income quintileBaseline (%)Reform (%)pp changeBaseline (%)Reform (%)pp changeBaseline (%)Reform (%)pp change
Poorest458439629028338047
252802887958377538
350762686959357136
4447026718514406929
Richest32602885927295829

Source: Authors’ calculations using SWITCH and data from the 2019 Survey on Income and Living Conditions (SILC). The number of individuals in each quintile, split by part-time and full-time employees, and the average wage by quintile can be found in Table B2 and Table B3 at the Appendix respectively.

Table 6. Share of individuals with Participation Tax Rate greater than 70 per cent.
All employeesPart-time employeesFull-time employees
Income quintileBaseline (%)Reform (%)pp changeBaseline (%)Reform (%)pp changeBaseline (%)Reform (%)pp change
Poorest6534712503845854
23504711625145046
3238365575223533
40.62120.41403912120
Richest0.298.8240380.287.8

Source: Authors’ calculations using SWITCH and data from the 2019 SILC.

Table A1. Weekly Pandemic Unemployment Payment rates.
Previous weekly income (Y)Weekly PUP payment
Y < €150€150
€150 ≤ Y < €220€203
€220 ≤ Y < €300€250
€300 ≤ Y < €400€300
Y ≥ €400€350

Source: Rates from October 2020, see https://www.gov.ie/en/publication/0b0fc-covid-19-pandemic-unemployment-payment-rates/#rates-from-7-september-2021.

Table B1. Unemployment Benefit Reforms.
No.Reform
160% of previous earnings – maximum caps based on PUP rates
260% of previous earnings – maximum cap set at 60% of mean daily earnings
370% of previous earnings – maximum caps based on PUP rates
460% of previous earnings – maximum cap set at 43% of mean daily earnings
Table B2. Number of employees by household quintile and employment type.
Income quintileAll employeesPart-time employeesFull-time emploees
Poorest180,26780,71499,552
2338,642100,951237,691
3459,839123,837336,001
4503,76264,397439,365
Richest578,02835,171542,857

Source: Authors’ calculations using SWITCH and data from the 2019 SILC.

Table B3. Average monthly wage by quintile (€).
Income quintileAll employeesPart-time employeesFull-time emploees
Poorest1,9941,2692,581
22,5621,4193,047
32,9731,6113,476
44,0762,2694,341
Richest5,7533,3695,972

Source: Authors’ calculations using SWITCH and data from the 2019 SILC.

Table B4. Work incentives and additional spending required.
NoReformMedian NRR (%)Share with NRR > 70% (%)Median PTR (%)Share with PTR > 70% (%)Additional spending (€)
BaselineBaseline6743451n/a
1Reform scenario78716428278m
2RR: 60%
Cap: 60% mean earnings
88917974588m
3RR: 70%
Cap: PUP
79726428285m
4RR: 60%
Cap: 43% mean earnings
84817259399m

Source: Authors’ calculations using SWITCH and data from the 2019 SILC.

Table B5. Income inequality and poverty.
GiniPoverty – Whole populationPoverty – Working age adult populationElderly poverty*Children poverty
Baseline 20220.27813.63%13.31%12.20%15.77%
Reform 10.27713.57%13.24%12.18%15.68%
Reform 20.27713.39%13.04%11.85%15.35%
Reform 30.27713.57%13.24%12.18%15.68%
Reform 40.27713.42%13.08%11.85%15.41%

Source: Authors’ calculations using SWITCH and data from the 2019 SILC.

Changes in the elderly poverty rates are driven by a small number of observations and thus should be read with caution.

Table B6. Median Replacement Rate, Reform 2-4.
Income quintileBaseline (%)Reform 2Reform 3Reform 4
NRR (%)pp changeNRR (%)pp changeNRR (%)pp change
Poorest67821580138114
271881784138615
370891984148617
467902379128418
Richest63872473107816

Source: Authors’ calculations using SWITCH and data from the 2019 SILC.

Table B7. Participation Tax Rate, Reform 2-4.
Income quintileBaseline (%)Reform 2Reform 3Reform 4
PTR (%)pp changePTR (%)pp changePTR (%)pp change
Poorest47732672257326
246783271257630
343803767247532
445813664197328
Richest47793262156922

Source: Authors’ calculations using SWITCH and data from the 2019 SILC.