How taxes and benefits redistribute income and affect work incentives: a lifecycle perspective. Institute for Fiscal Studies

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Transcription:

How taxes and benefits redistribute income and affect work incentives: a lifecycle perspective

What we do Two questions about UK tax and benefit system: 1. How does it affect work incentives? 2. How much redistribution does it do? Lifecycle approach Focus on Women and their families Working life (ages 19-59) Personal taxes and benefits

How we do it Based on simulated data Women assumed to behave according to forward-looking decision-making model Make choices over education, labour supply and savings Experience gained through working Evolving family circumstances Model estimated to replicate behaviour of real individuals in Great Britain

How does the current UK tax and benefit system affect work incentives?

Work incentives: the story in one slide Work incentives vary lots by family circumstances Family circumstances vary lots across life Work incentives vary lots across life Forward-looking measure gives a different impression of incentives, particularly for lone parents

Measuring static work incentives Marginal effective tax rate (METR): The fraction of a small rise in earnings that is lost to extra taxes and lower benefits Participation tax rate (PTR): When moving into work, the fraction of the rise in earnings that is lost to extra taxes and lower benefits

0.0 0.2 0.4 0.6 0.8 1.0 Cumulative proportion Work incentives vary by family circumstances 0.25 METR (working women) 0.0 0.2 0.4 0.6 0.8 1.0 PTR (all women) 0 20 40 60 80 100 METR 0 20 40 60 80 100 PTR Childless single Childless couple Lone mother Mother in couple

Work incentives vary by family circumstances 0.0 0.2 0.4 0.6 0.8 1.0 METR (working women) 0.0 0.2 0.4 0.6 0.8 1.0 Cumulative proportion PTR (all women) 0 20 40 60 80 100 METR 0 20 40 60 80 100 PTR Childless single Childless couple Lone mother Mother in couple

Work incentives vary by family circumstances 0.0 0.2 0.4 0.6 0.8 1.0 METR (working women) 0.0 0.2 0.4 0.6 0.8 1.0 Cumulative proportion PTR (all women) 0 20 40 60 80 100 METR 0 20 40 60 80 100 PTR Childless single Childless couple Lone mother Mother in couple

Proportion Proportion Changing family circumstances mean work incentives vary across life 1.00 0.80 0.60 0.40 0.20 0.00 Family type Mother in couple Lone mother Childless couple Childless single 20 30 40 50 60 Age Proportion with weak work incentives (>60%) 0.20 0.15 0.10 0.05 METR (working women) PTR (all women) 0.00 20 30 40 50 60 Age

And individuals are not permanently stuck with weak work incentives 25-29 year olds: percentage with METR/PTR above 60% who are still above that level some years later Number of years ahead 1 year 5 years 10 years 20 years METR 74% 47% 38% 22% PTR Notes: METR is for working women, PTR is for all women

And individuals are not permanently stuck with weak work incentives 25-29 year olds: percentage with METR/PTR above 60% who are still above that level some years later Number of years ahead 1 year 5 years 10 years 20 years METR 74% 47% 38% 22% PTR 78% 49% 36% 25% Notes: METR is for working women, PTR is for all women

A dynamic measure of work incentives Why does the future matter for work incentives? Work today Earn today Gain experience Higher savings tomorrow Higher wage tomorrow Higher wage tomorrow treated differently by tax and benefit system Higher wage and savings tomorrow may affect work decisions

A dynamic measure of work incentives (2) Forward-looking participation tax rate (FLPTR): When moving into work today, the fraction of the rise in current and future earnings that is lost to extra taxes and lower benefits FLPTR is a weighted average of: Today s PTR Future METRs and PTRs

Dynamic and static measures are different Difference between FLPTR and static PTR Mean Across all ages 1.5ppts

Dynamic and static measures are different Difference between FLPTR and static PTR Across all ages Mean 1.5ppts % of women: Larger than 5ppts (absolute) 21% Larger than 10ppts (absolute) 11%

Differences are particularly large for lone mothers 1.0 Difference between FLPTR and static PTR: Proportion of lone mothers in different ranges 0.8 0.6 0.4 FLPTR >10ppts higher FLPTR 5-10ppts higher PTR and FLPTR within 5ppts PTR 5-10ppts higher PTR >10ppts higher 0.2 0.0

Because of patterns in static work incentives 0.0 0.2 0.4 0.6 0.8 1.0 METR (working women) 0.0 0.2 0.4 0.6 0.8 1.0 Cumulative proportion PTR (all women) 0 20 40 60 80 100 METR 0 20 40 60 80 100 PTR Childless single Childless couple Lone mother Mother in couple

How much redistribution does the tax and benefit system do?

Why do we look at lifetime inequality and redistribution? Individual (family) income varies across individuals and over time Fluctuations over time can be partly smoothed by individuals Taxes and benefits reduce variation in income Both between individuals And over time Snapshot assessments may overstate the ability of taxes and benefits to reduce true economic disparities

What we do in this part of the project Look at lifetime inequality in income among women in families Measures dispersion in income we use the Gini coefficient And the lifetime redistribution properties of the UK tax and benefits system Measures how taxes and benefits reduce inequality, moderating persistent differences between individuals

The story in one slide 1. The UK tax and benefits system redistributes most significantly where disparities are larger Among women with basic education During the main child-rearing years 2. Particularly successful at ensuring that lone motherhood does not lead to persistent inequalities in lifetime income 3. Reforms since 2000 strengthened its ability to reduce lifetime inequalities In-work benefits for low-income families with children - WFTC Effect largely driven by responses in employment

The tax and benefits system reduces annual inequality Annual inequality Gross earnings Net income Lifetime inequality Gross earnings Net income All women 0.37 0.28 0.24 0.18 By education Basic 0.42 0.24 0.27 0.15 Intermediate 0.32 0.25 0.21 0.16 High 0.28 0.26 0.15 0.13 Gini coefficients for gross and net annual and lifetime income.

And it also reduces lifetime inequality Annual inequality Gross earnings Net income Lifetime inequality Gross earnings Net income All women 0.37 0.28 0.24 0.18 By education Basic 0.42 0.24 0.27 0.15 Intermediate 0.32 0.25 0.21 0.16 High 0.28 0.26 0.15 0.13 Gini coefficients for gross and net annual and lifetime income.

The impact is particularly strong where disparities are larger: for women with basic education Annual inequality Gross earnings Net income Lifetime inequality Gross earnings Net income All women 0.37 0.28 0.24 0.18 By education Basic 0.42 0.24 0.27 0.15 Intermediate 0.32 0.25 0.21 0.16 High 0.28 0.26 0.15 0.13 Gini coefficients for gross and net annual and lifetime income.

.2.3.4.5 Over the life-cycle, taxes and benefits are more redistributive when differences are more marked 20 30 40 50 60 age Gross income Net income Basic educ, Gross income Basic educ, Net income Gini coefficients for gross and net income by age.

.2.3.4.5 Particularly for those exposed to greater disparities 20 30 40 50 60 age Gross income Net income Basic educ, Gross income Basic educ, Net income Gini coefficients for gross and net income by age.

Decompose lifetime inequality in its main building blocks Gross income Net income Initial wealth and education Family history Partner Children Lone mother Total 34.1% 3.4% 6.0% 8.7% 18.1% 39.5% 3.1% 7.2% 1.1% 11.4% Share of variation in lifetime income explained by each factor.

Largest share of lifetime inequality established early in adult life Gross income Net income Initial wealth and education Family history Partner Children Lone mother Total 34.1% 3.4% 6.0% 8.7% 18.1% 39.5% 3.1% 7.2% 1.1% 11.4% Share of variation in lifetime income explained by each factor.

But tax and benefits system ensures the impact of lone-motherhood does not persist Gross income Net income Initial wealth and education Family history Partner Children Lone mother Total 34.1% 3.4% 6.0% 8.7% 18.1% 39.5% 3.1% 7.2% 1.1% 11.4% Share of variation in lifetime income explained by each factor.

In-work benefits for low income families with children reduce lifetime inequality 0 WFTC All women -0.2-0.4-0.6-0.8-1 -1.2-1.4 Effects on Gini coefficient: 2002 version of WFTC and IS versus pre- WFTC 1999 tax and benefits system

Particularly for women with basic education 0-0.2 WFTC All women Basic education WFTC -0.4-0.6-0.8-1 -1.2-1.4 Effects on Gini coefficient: 2002 version of WFTC and IS versus pre-wftc 1999 tax and benefits system

And response largely driven by its impact on moving women into work 0-0.2 WFTC All women Basic education WFTC -0.4-0.6-0.8-1 -1.2-1.4 Effects on Gini coefficient: 2002 version of WFTC and IS versus pre-wftc 1999 tax and benefits system

Income support for families out of labour market reduces importance of employment responses 0-0.2 WFTC All women WFTC & IS Basic education WFTC WFTC & IS -0.4-0.6-0.8-1 -1.2-1.4 Effects on Gini coefficient: 2002 version of WFTC and IS versus pre-wftc 1999 tax and benefits system

Summary of findings On work incentives - changing family circumstances mean 1. Work incentives vary a lot And vary a lot across the lifecycle 2. Forward-looking measure gives a different impression of incentives, particularly for lone parents On lifetime inequality and redistribution 1. The UK tax and benefits system ensures that the consequences of lone-motherhood on inequality do not persist 2. Reforms to in-work benefits during the 2000s contributed significantly to reduce lifetime inequality With effects largely driven by employment responses

Thank you!