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The Effect of Earnings-Related Benefits on Financial Work Incentives

  1. Theano Kakoulidou  Is a corresponding author
  2. Michael Doolan
  3. Barra Roantree
  1. Economic and Social Research Institute, Ireland
  2. Trinity College Dublin, Ireland
  3. Institute for Fiscal Studies, United Kingdom
Research article
Cite this article 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
15 figures and 14 tables

Figures

Cumulative distributions NRRs and PTRs, Baseline and Reform Scenario.
Net Replacement rate, Baseline and Reform Scenario.
Participation Tax Rate by quintile, Baseline and Reform Scenario.
Reform 1 baseline versus 60% of previous earnings with maximum caps based on PUP rates
Net Replacemet Rates, Reform 1 baseline versus 60% of previous earnings with maximum caps based on PUP rates
Participation Tax Rates, Reform 1 baseline versus 60% of previous earnings with maximum caps based on PUP rates
Reform 2: baseline versus 60% of previous earnings with maximum cap set at 60% of mean wage
Net Replacement Rates, Reform 2: baseline versus 60% of previous earnings with maximum cap set at 60% of mean wage.
Participation Tax Rates, Reform 2: baseline versus 60% of previous earnings with maximum cap set at 60% of mean wage.
Reform 3: baseline versus 70% of previous earnings with maximum caps based on PUP rates.
Net Replacement Rates, Reform 3: baseline versus 70% of previous earnings with maximum caps based on PUP rates.
Participation Tax Rates, Reform 3: baseline versus 70% of previous earnings with maximum caps based on PUP rates.
Reform 4: baseline versus 60% of previous earnings with maximum cap set at 43% of mean earnings (to give cost of c. €400m).
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).
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
  1. 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.

  2. *

    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
  1. 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
  1. 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
  1. 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
  1. 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
  1. 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
  1. 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
  1. 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
  1. 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
  1. 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%
  1. Source: Authors’ calculations using SWITCH and data from the 2019 SILC.

  2. *

    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
  1. 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
  1. Source: Authors’ calculations using SWITCH and data from the 2019 SILC.

Data and code availability

The SWITCH model is based on the EUROMOD platform, available at https://euromod-web.jrc.ec.europa.eu/. We are happy to provide the front-end of the model upon request but due to restrictions imposed to us by the Irish Central Statistics Office, who provide the underlying data for the model, we cannot provide the input dataset the SWITCH model runs on. Only those appointed Officer of Statistics for the underlying data can access it and this is restricted to those residents in Ireland.

We are committed of preserving the data and model for a period of no less than five years following publication of the manuscript, and to providing reasonable assistance to requests for clarification and replication.

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