Econ 3007 Economic Policy Analysis. Reforming the Tax System Lecture I: The Taxation of Earnings. February 2017

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Econ 3007 Economic Policy Analysis Reforming the Tax System Lecture I: The Taxation of Earnings February 2017 Richard Blundell University College London Teaching Resources at: http://www.ucl.ac.uk/~uctp39a/lect.html Mirrlees Review at http://www.ifs.org.uk/mirrleesreview

Tax rates, tax credits and work decisions This lecture (and part of the next one) will analyse the impact of tax and benefit reform on work and earnings. It will look at the context, the impact and the design of reforms. It will focus on two questions: How should we measure the impact of taxation on work decisions and earnings? How should we assess the optimality of tax reforms?

Why re-examine earnings taxation? Changes in employment patterns, in earnings inequalities and in population trends New empirical findings on labour supply elasticities New insights from optimal tax design A need to look at the whole income tax/benefit system Key chapter (in Mirrlees Review): Brewer, Saez and Shephard, http://www.ifs.org.uk/mirrleesreview Living wage and tax credit debate. References at the end of the lecture slides.

Changes in the economic environment Changes in employment patterns growth of female labour supply changes in youth employment changes in early retirement behaviour Changes in population growth in single person & single parent households growth in migration growth in earnings and wealth inequalities growth in top income share fall in the relative earnings of low skilled men

Increased empirical knowledge labour supply responses for individuals and families at the intensive and extensive margins extensive margin elasticities generally higher than intensive margin by age and demographic structure labour supply elasticities higher for mothers with younger children and for pre-retirement adults taxable income elasticities top of the income distribution using tax return information

The taxation of income from earnings Examine the way taxes and benefits impact on family income as individual earnings vary. Simple tax schedules are not necessarily the best for either economic efficiency or for fairness. However, to be effective an earnings tax system has to be understandable to employees and employers. To quote the Nobel prizewinner Herb Simon..a wealth of information creates a poverty of attention. There is a therefore a balance between complexity and a need for a transparent tax code.

Overall question: How should we assemble the empirical foundations for tax policy design? Consider the role of evidence under five headings: 1. Key margins of adjustment to reform 2. Measurement of effective incentives 3. The importance of information and complexity 4. Evidence on the size of responses 5. Implications for policy design Use these to build an empirically based agenda for reform > an efficient redesign of tax policy.

1. Key margins of adjustment to reform A descriptive analysis of the key aspects of observed behaviour not causality just the correlations in the data, the key facts! Where is it that individuals, families and firms most likely to respond? e.g. the margins of labour market adjustment.

Key margins of adjustment Employment for men by age FR, UK, US & GER 2007 Blundell, Bozio, Laroque and Peichl (2014)

Total Hours for men by age FR, UK and US 2007 Blundell, Bozio and Laroque (2011)

The taxation of income from earnings For women earnings are influenced by taxes and benefits not only at these margins but also when there are young children in the family. for women with younger children it is not usually just an employment decision that is important it is also whether to work part-time or full-time. Often the employment margin is referred to as the extensive margin of work and the part-time or hours of work decisions more generally as the intensive margin.

Female Employment by age - 2007 Blundell, Bozio, Laroque and Peichl (2014)

Female Hours by age Blundell, Bozio, Laroque and Peichl (2014)

Wage profiles by education and age UK Women log wage 1.6 1.8 2 2.2 2.4 2.6 20 30 40 50 age secondary further higher Source: Blundell, Dias, Meghir and Shaw (2013)

Women s employment - UK All employment Part time employment employment rates.5.6.7.8.9 1 employment rates 0.05.1.15.2.25 20 30 40 50 age 20 30 40 50 age secondary further higher Source: Blundell, Dias, Meghir and Shaw (2013)

Women s employment after childbirth - UK Source: Blundell, Dias, Meghir and Shaw (2013)

Top Income Shares in the US Source: Piketty and Saez (2013), Notes: World Top Incomes Database

Changes in Wages for Full-Time Men in US Source: Acemoglu and Autor (2011), Notes: CPS.

Percent Change in Median Real Earnings for Men and Women from 1990-2013, for US by Education Source: Hershbein and Kearney (2015)

Summary so far key facts A lifetime view of employment and hours differences accentuated at particular ages and for particular demographic groups, higher attachment to the labor market for higher educated, career length matters. Wages grow stronger and longer over the lifetime for higher educated human capital accumulation during work is shown to be complementary to education, essential to explain employment and wage profiles for those with more education. Other key facts include growth of top employment incomes and consequent impact on inequality.

2. Measurement of effective incentives Precisely how do tax policies impact on the incentives facing the key players? e.g. overlapping taxes, tax credits and welfare benefits. What are the true effective tax rates on (labor) earnings?

Marginal rates for higher earners in the UK Income tax schedule for those aged under 65, UK 2010 11 Source: Mirrlees Review (2011)

Interactions with benefits and tax credits matter: Budget Constraint for Single Parent in UK Notes: wage 6.50/hr, 2 children, no other income, 80/wk rent. Ignores council tax and rebates

Universally Available Tax and Transfer Benefits in US (Single Parent with Two Children, 2008) Source: Urban Institute (NTJ, Dec 2012). Notes: Value of tax and value transfer benefits for a single parent with two children.

Effective tax rates It is essential to assemble all the components of the tax schedule and examine the system as a whole. One way to achieve this and to capture the complete picture of the tax rate schedule is through the calculation of effective marginal tax rates and participation tax rates. The effective marginal tax rate is the proportion of an 1 of extra earnings retained in the tax and benefit system. This will include all employer taxes and contributions as well as the full set of taxes and benefits. It typically varies widely. By contrast the participation tax rate is the net loss, through taxes and benefits, of earnings in work relative to being out of work.

Two key concepts: 1. Marginal Tax Rate (MTR) - most relevant at the Intensive Margin 2. Participation Tax Rate (PTR) - most relevant at the Extensive Margin In the UK: Income Support, HB etc., create high MTR, PTR at the very bottom In-work tax credits reduce MTRs and PTRs for low income workers

In-work Tax Credits: The general form of Earned Income Tax Credits Credit depends on earnings and number of children: Phase-in: credit is flat percentage of earned income or jump in at minimum hours threshold Flat range: receive maximum credit Phase-out: credit is phased out at a flat rate Credit based on family earnings Creating interesting incentives among couples

EITC Schedule in US Single Parent Families, 2004 $5,000 $4,000 EITC Credit $3,000 $2,000 Phase In Region Flat Region Phase-out Region $1,000 $0 $0 $5,000 $10,000 $15,000 $20,000 $25,000 $30,000 $35,000 $40,000 Earnings Two or more children One Child Ø Larger credit, covering higher earners for families with two or more children.

The EITC and marginal tax rates more broadly Marginal Tax Rates for Families with One Child, 2004 50% 40% 30% Marginal Tax Rate 20% 10% 0% -10% -20% -30% -40% -50% $0 $25,000 $50,000 $75,000 $100,000 $125,000 $150,000 Earnings Single 1-child Source: NBER's TAXSIM model tabulation by Hoynes (2006)

Number of EITC Recipient Families (Millions) 25 EITC Recipients (Millions) 20 15 10 5 0 1975 1980 1985 1990 1995 2000 Year Source: Green Book, 2004, Joint Committee on Taxation, Ways and Means Committee

In-work Credits in OECD Countries in 2001 Central position in the OECD labour market policy debate Target group Approximate Maximum Income Increase (Euros) Phase-in Phase-out Hours criterion Belgium 1 Individual 440 Yes Yes No Canada, Quebec 2 Families 3,150 Yes Yes No Finland Individual 290 Yes Yes No France 3 Individual 230 Yes Yes No Ireland 4 Families 2,260 or more No Yes Yes Netherlands Individual 920 Yes No No New Zealand 5a Families 7,800 No Yes Yes New Zealand 5b Families 780 per child No Yes Yes UK 6 Families 6,150 or more No Yes Yes United States Families 4,000 Yes Yes No Source: Owens (2005), Table 3.

EITC Reforms in the US In the US the EITC started in 1975 as modest work bonus ; made permanent in 1978 Substantial expansions have taken place: 1986 Tax Reform Act: general expansion and indexed for inflation 1990: general expansion and added separate schedule for families with 2 or more children 1993: general expansion (larger expansion for families with 2 or more children) and added EITC for childless filers

EITC Benefit for Selected Tax Years (B) Schedule for Family with 2+ Children $4,000 $3,500 1996 EITC $3,000 EITC Credit (1996 $) $2,500 $2,000 $1,500 $1,000 1993 EITC 1990 EITC $500 1984 EITC $0 $0 $5,000 $10,000 $15,000 $20,000 $25,000 $30,000 Earnings (1996 $)

The Tax Credit Expansion in the UK: 2000 Reform 120 - transfers per week for a min. wage lone parent WFTC 55% 70% 0 0 10 20 30 40 50 60 70 Hours worked per week Family Credit WFTC

Eligibility criteria for WFTC work eligibility 16 or more hours per week family eligibility children (in full time education or younger) income eligibility if a family's net income is below a certain threshold, adult credit plus age-dependent amounts for each child if income is above the threshold then the amount of credit is tapered away at 55% per extra pound of net income previously 70%

The UK and US tax credit systems compared 6,000 5,000 WFTC 4,000 3,000 EITC 2,000 1,000 0 0 5,000 10,000 15,000 20,000 25,000 Gross income ( /year)

Earned Income Tax Credit reforms in the UK Sequence of Tax Credit policies: FC (family credit) before 2000, expanded early in 1990s WFTC (working families tax credit) reform in 2000 WTC (working tax credit) and CTC (child tax credit) reform in 2004 UC (universal credit) 2016 onwards, integration of tax credits and other benefits..

3. The importance of information and complexity How is the policy likely to be understood by the agents involved? For example, how salient are the various tax and welfare benefit incentives? Take-up of welfare and tax credits among eligible families Bunching at kink points

Variation in tax credit take-up with value of entitlement Probability of take-up 0.2.4.6.8 1 0 50 100 150 200 WFTC entitlement ( /week, 2002 prices) Lone parents Couples Institute for Fiscal Studies

Budget Constraint for Single Parent: UK 300.00 250.00 200.00 150.00 100.00 50.00 Local tax rebate Rent rebate WFTC Income Support Net earnings Other income 0.00 0 5 10 15 20 25 30 35 40 45 50 hours of work

Are these hours rules salient? Single Women (aged 18-45) - 2002 Blundell and Shephard (2010)

Hours distribution for lone parents, before WFTC Blundell and Shephard (2012)

Hours distribution for lone parents, after WFTC Blundell and Shephard (2010)

Bunching at Tax Kinks Married Tax Filers: US Source: Saez (2010)

Bunching at Tax Kinks and the EITC One child families: US Source: Saez (2010)

Bunching at Tax Kinks and the EITC One child families: US Source: Saez (2010)

4. Evidence on the size of responses This is where the rigorous econometric analysis of structure and causality comes into play. Eclectic use of two approaches: 1. Quasi-experimental/RCT/reduced form evaluations of the impact of (historic) reforms robust but limited in scope. 2. A structural estimation based on a the pay-offs and constraints faced by individuals and families Ø comprehensive in scope and allow simulation, but fragile. account for life-cycle facts, effective tax rates, and salience/stigma. What do we need to get observed responses to match with incentives? Ø Is there a social experiment?

Canadian Self Sufficiency Program Experimental design of the SSP Do financial incentives encourage work among low skilled lone parents? The aim was to encourage employment among welfare recipients, specifically single parents on welfare 50% earnings supplement as a tax credit at least 30 hours per week job On earnings up to an annual limit of $36000 provided to the individual, not the employer, as in EITCs

Canadian Self Sufficiency Program Budget Constraint for a Single Parent on Minimum Wage Income per Month ($1995) 2500 2000 1500 1000 500 0 SSP IA 0 5 10 15 20 25 30 35 40 45 50 55 60 Weekly Hours of Work Income Assistance Self Sufficiency Program

Canadian Self Sufficiency Program well designed social experiment great research design

Canadian Self Sufficiency Program Monthly Employment Rate for a Single Parent with One Child BC Monthly Employment Rate 40 35 30 25 20 15 10-10 -8-6 -4-2 0 2 4 6 8 10 12 14 16 Months from Random Assignment Controls Experimentals

Ex-post evaluation where there is no social experiment: Comparing work decisions of (potentially) eligible versus those who are not eligible before and after the reform for example, the EITC expansion for single mothers in the US, see Eissa and Liebman (1996). identify average employment impact on eligibles by assuming a structure on unobservables separability of errors common trends across groups invariance in group heterogeneity over time conditional on a set of (matching) covariates X

Ex-post evaluation: Abstracting from other regressors X, write the tax credit reform as a binary indicator d and employment as y y = β + α d + u it i i it α = α + ε i AT i α = α + E( ε d = 1) TT AT i i Average (Treatment) Effect (ATE) is given by α AT Average (Treatment) Effect on the Treated (ATT) is given by α TT

Difference-in-Differences (DD) Let y T and y C represent the mean outcomes for the treatment and comparison (non-treatment) groups, respectively. Let t=0 and t=1 represent the time period before and after policy intervention. The difference in differences estimator is given by: = ( y y ) ( y y ) α T T C C DD t = 1 t = 0 t = 1 t = 0

The Common Trends and Time Invariant Composition Assumptions Given the way we have expressed the individual and time effects, we have u = φ + θ + µ it i t it Eu ( d) = E( φ d) + θ it i i i t E( α ) = [ β + α + E( u d = 1] [ β + E( u d = 1] DD TT i, t = 1 i i, t = 0 i [ β + Eu ( d = 0] [ β + Eu ( d = 0] = α TT it, = 1 i it, = 0 i That is, the ATT is identifiable, but not the average population treatment impact.

What is missing in this simple experimental and quasi-experimental impact analyses? No basis for simulating policy reforms (ex-ante) No analysis of intensive margin (hours of work) decisions No basis for analysing deadweight loss and optimality of tax reforms No analysis of family labour supply decisions For this we need a model of work and hours decisions - a structural model

How should we measure labour supply? Extensive margin: whether to work or not Intensive margin: how much to work. Just hours? What about effort? Taxable income? An individual or joint family decision? How should we think about the effect of taxes on labour supply? Income and substitution effect Summarise reaction of labour supply with elasticity measure (ε) But many elasticity concepts: important to think about what the relevant one is (see Blundell and MaCurdy, 1999)

A static structural model of labour supply Consider individual i with characteristics v it and preferences over consumption c it and leisure l it Individual problem to maximise within-period utility function U(c it, l it, v it ) subject to budget constraint c it = μ it + w it ( T - l it ) where T is time endowment and μ it non-labour income Under certain conditions, have interior solution for hours of work Yields labour supply function h it = h s (w it, μ it, v it ) Uncompensated (Marshallian) effect dh s /dw measures how hours of work respond to a shift in hours worked holding μ it constant Uncompensated elasticity defined as ε u = w/h * dh s /dw Compensated (Hicksian) effect holds utility constant instead By Slutsky have ε c = ε u η where η = w.dh s /dμ,, the income effect

Labour supply and taxation

Introducing taxes and benefits With proportional taxes and means-tested benefits, problem now Max U(c it, l it, v it ) s.t c it = μ it + (1-τ t )w it ( T - l it ) Yields labour supply function h it = h s [(1-τ t )w it, μ it, v it ] Note labour supply now function of net rather than gross wage More complicated with non-linear taxes (discuss later) Have possible corner solution: zero hours Work only if (1-τ t )w it > w* = U l /U c evaluated at h=0 Taxes unambiguously reduce probability of working versus τ t = 0 But effect of taxes on hours worked unclear Depends on which effect dominates: empirical question Note ε c determines distortionary costs of taxation

Labour supply and taxation

Key features of a realistic structural model main elements: budget constraint complicated tax/benefit interactions preferences discrete hours; flexible utility specification heterogeneity demographics, ethnicity, etc; unobs. het. fixed costs of work obs. and unobs. het. stigma/hassle costs take-up versus eligibility; unobs. het. childcare costs - mixed-multinomial specification across discrete choices over ranges of hours.

5. How should we choose tax rates? Follow the optimal tax design approach due to Mirrlees (1971). In this framework a tax schedule is chosen that will maximise social welfare and raise a required amount of revenue. The government cannot observe effort, only earnings. So it cannot distinguish a high ability person working few hours from a low ability person working a large amount. It has to balance redistributive aims with effort incentives. If it taxes the high ability types too much they may choose to supply much less effort. Thus we need to know supply elasticities. 63

Start with the choice of the top tax rate How should we tax the very rich? We consider the different ways in which a small increase in the top rate affects social welfare. We assume that this top rate applies to earnings above a given level, and we will refer to this level as the top bracket. There are three impacts on social welfare: 1. mechanical effect on tax revenue 2. behavioural response on tax revenue 3. welfare effect, and it is a loss to society. How large is this loss depends on the redistributive tastes of the government. 64

The choice of the top tax rate 1. With no behavioural response, increasing the top rate will increase government revenue. This is the mechanical effect on tax revenue, and this is a benefit to society, as the revenue can be used for government spending or higher transfers. 2. Increasing the top rate may also induce top bracket taxpayers to reduce their earnings (but not below the top bracket, because nothing has changed below this point) because of the substitution effect described above. This is known as the behavioural response on tax revenue, and it is a cost to society as tax revenues will fall. 3. Finally, any increase in the top rate will reduce the welfare of top bracket taxpayers. This is the welfare effect, and it is a loss to society. If the government values redistribution, then, for incomes above a certain level, it will consider that the marginal value of income is small. In the limit, the welfare effect will be negligible relative to the mechanical effect on tax revenue. 65

The choice of the top tax rate Consider a reform that changes the top tax rate τ by a small amount dτ Let z be the earned income being considered for taxation The top bracket begins at income z* Assume there are N taxpayers in the top bracket 1. Mechanical effect of higher marginal tax rate on incomes above z*: dm = N[z z*] dτ > 0 2. Behavioural effect will depend on the elasticity e the elasticity of earnings with respect to the net of tax rate (1- τ). Reported income will be reduced by dz = - e z dτ / (1- τ) Hence revenue will be reduced by db = - N e z dτ τ / (1- τ) 66

The choice of the top tax rate Suppose the government gives a value of g to an extra 1 to a top tax bracket taxpayer will be strictly less than 1, since the weighted sum of welfare weights is unity. 3. Welfare effect of higher marginal tax rate on incomes above z*: dw = - g N[z z*] dτ < 0 Summing these we get dm + db + dw = N dτ [z z*] [1 g e.a.τ / (1- τ)] where a = z/(z z*). At the optimum this has to be zero τ* = (1 g) / (1 g + a.e) 67

The choice of the top tax rate There are some very nice interpretations of this simple formula τ* = (1 g) / (1 g + a.e) 1. Note that a is a parameter of the upper tail of the Pareto distribution ( f(z) = C/z 1+a ). Approximately 1.67 in the recent UK data. 2. If g is approximately zero then τ* = 1 / (1 + a.e) which is very simple to estimate if we know the taxable income elasticity. For example if e =.5 then τ* = 1 / (1 + 1.67.5) =.545 A top tax rate of 55%. 68

Top incomes and taxable income elasticities A. Top 1% Income Share and MTR, 1962-2003 80% 16% Marginal Tax Rate 70% 60% 50% 40% 30% 20% 10% 0% Top 1% MTR Top 1% income share 1962 1966 1970 1974 1978 1982 1986 1990 1994 1998 2002 14% 12% 10% 8% 6% 4% Income Share Source: MR1, UK SPI (tax return data)

B. Top 5-1% Income and MTR, 1962-2003 80% 16% 70% 14% Marginal Tax Rate 60% 50% 40% 30% 12% 10% 8% 20% 10% 0% 1962 1966 1970 1974 1978 1982 1986 1990 1994 1998 2002 Income Share Top 5-1% MTR Top 5-1% income share 6% 4% Source: Brewer, Saez and Shephard (Mirrlees Review) 70

Taxable Income Elasticities at the Top Simple Difference (top 1%) DD using top 5-1% as control 1978 vs 1981 0.32 0.08 1986 vs 1989 0.38 0.41 1978 vs 1962 0.63 0.86 2003 vs 1978 0.89 0.64 Full time series 0.69 0.46 (0.12) (0.13) With updated data the estimate remains in the.35 -.55 range with a central estimate of.46, but remain quite fragile Note also the key relationship between the size of elasticity and the tax base (Slemrod and Kopczuk, 2002)

Pareto distribution as an approximation to the income distribution Probability density (log scale) 0.0100 0.0010 0.0001 0.0000 Pareto distribution Actual income distribution 0.0000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 450,000 500,000 Pareto parameter quite accurately estimated at 1.67 => revenue maximising tax rate for top 1% of 55%.

The taxable income elasticity e Topics for discussion: Has the elasticity e changed over time? Is the method for estimating e reliable? Is the Pareto distribution assumption a good one? How would a bargaining model change the arguments? (see Piketty, Saez and Stantcheva (CEPR DP 8675, Nov 2011)

Top tax rates and migration Concern that individuals move to low tax countries migration response is similar to an extensive response Optimal top tax rate with migration elasticity (m) + intensive elasticity (e) is: MTR=1/(1+a e + m) does it change in recessions? nature of evidence on migration elasticity m is weak

What about the general tax schedule? How should we tax lower incomes? Again we consider the different ways in which a small increase in the rate at any point in the earnings distribution affects social welfare. We begin by allowing the tax and benefit system to be fully non-linear, which means that marginal tax rates at a particular point of the earnings distribution can be set to any value without altering marginal rates at other points.

What about the general tax schedule? The optimal MTR at any point is set so as to balance the costs and benefits from changing the MTR by a very small amount. As before, an increase in the MTR over a very small band of income has three effects on government tax receipts and welfare: 1. the mechanical effect 2. the behavioural effect generates a loss in tax revenue 3. a welfare cost whose size will depend upon the extent to which the government values redistribution.

The optimal marginal tax rate schedule For income z, denote T(z) as the tax function, H(z) as the cumulative distribution of individuals & h(z) is the density. The optimal tax system is characterised by a lumpsum grant given to those without earned incomes T(0), combined with a schedule of marginal rates T'(z). Consider a reform that changes the marginal tax rate T'(z) by dτ in a small band of income (z, z + dz). 1. The reform increases taxes by dτ.dz for every taxpayer above the small band, the mechanical effect is: dm = (1 H(z)).dz.dτ

The optimal marginal tax rate schedule 2. Those extra taxes also generate a welfare cost. let G(z) be the average social value of distributing 1 uniformly among taxpayers with income above z. The welfare cost is dw = dm.g(z) 3. The marginal tax rate increase dτ reduces earnings by dz = - e.z.dτ / (1- T'(z)) There are h(z)dz such taxpayers, hence revenue will be reduced by the behavioural effect db = - e.z.[ T'(z)/(1- T'(z))] dτ.h(z).dz

The optimal marginal tax rate schedule At the optimum all these must sum to zero dm + dw + db = 0 Consequently, at the optimum T'(z)/(1- T'(z))] = 1/e. 1-H(z)/zh(z). (1-G(z)) 1. The optimal tax rate decreases with the elasticity e. 2. It is also decreasing in G(z) which measures the marginal value placed on income for individuals above z. 3. It is also decreasing in the hazard ratio zh(z)/1-h(z) which measures the thinness of the distribution.

Negative marginal tax rates? It is worth noting that, in this framework, negative MTRs are never optimal: if the MTR were negative in some range, then increasing it a little bit in that range would raise revenue (and lower the earnings of taxpayers in that range), but the behavioural response (which would be to work less) would also be to raise revenue, because the marginal tax rate is negative in that range. Therefore, this small tax rise would unambiguously increase social welfare. All this changes when we introduce a participation or intensive margin of labour supply response.

The importance of the extensive margin With participation effects, the optimal tax formula changes. Negative tax rates become possible and can justify earned income tax credit policies. Labour supply estimation suggest extensive margin is more responsive to incentives than intensive margin High marginal tax rates at the bottom are no longer necessarily desirable and negative participation tax rates can be optimal

Notes on the extensive margin: If an individual decides to work he or she gets z - T(z). If she decides not to work she will get T(0). Suppose utility was simply u = c q where c is disposable income and q are costs of work. Cost of work are distributed with a cumulative distribution P(q z) Define the elasticity of participation (extensive margin elasticity) as: η = z T (z) +T (0) P P q

With participation effects, the optimal tax formula changes. Suppose we allow taxes to be different across I different earnings levels. Then the optimal structure has the form T T 1 T T c c eh c c I i i 1 j 0 = hj 1 gj η j. i i 1 i i j i j 0 Labour supply estimation suggest extensive margin is more responsive to incentives than intensive margin High marginal tax rates at the bottom are no longer necessarily desirable and negative participation tax rates can be optimal (Brewer, Saez and Shephard (2012), Saez, 2002; Laroque, 2004).

A Typical Integrated Optimal Schedule After Tax Income Some Income Support but what form? subsidy or phase-in region phase-out region break even point 0 0 Earnings

Implications for Tax Reform Change transfer/tax rate structure to match lessons from new optimal tax analysis and empirical evidence in the Mirrlees Review we use a similar design framework for family labour supply and early retirement Key role of labour supply responses at the extensive and intensive margins Both matter but differ by gender, age, education and family composition lone parents, married parents, pre-retirement low earners. Results for lone parents suggest lower marginal rates at the bottom means-testing should be less aggressive at least for some key groups =>

Implications for Tax Reform Life-cycle view of taxation distinguish by age of (youngest) child for mothers/parents pre-retirement ages effectively redistributing across the life-cycle a life-cycle rearrangement of tax incentives and welfare payments to match elasticities and early years investments results in Tax by Design show significant employment and earnings increases Hours rules? at full time for older kids, welfare gains depend on ability to monitor hours Dynamics and Human Capital little in the way of experience effects for low-skilled, complementarity with educational qualifications.

Dynamic effects on wages for low income welfare recipients? SSP: Hourly wages by months after RA Hourly real wages 6 6.5 7 7.5 8 8.5 0 10 20 30 40 50 60 Months after random assignment control experimental Institute for Fiscal Studies

SSP: Monthly earnings by months after RA Monthly earnings 100 200 300 400 0 10 20 30 40 50 60 Months after random assignment control experimental Institute for Fiscal Studies

The SSP experiment and human capital Earnings and employment line up with control group after time limit is exhausted Little evidence of employment enhancement or wage progression Other evidence, Taber etc, show some progression but quite small Wages grow stronger and longer over the lifetime for higher educated human capital accumulation during work is shown to be complementary to education essential to explain employment and wage profiles for those with more education. Institute for Fiscal Studies

Wages by education and age UK Women, BHPS Source: Blundell, Dias, Meghir and Shaw (2014)

Implications for efficient redesign of earnings taxation Tax and benefit systems are open unnecessarily complicated and induce too many people not to work or to work too liqle. Target work incensves where they are most effecsve simulasons in Mirrlees et al(2011) show increase in work/earnings reducing means-tessng and improving the flows into work for lower educason mothers and maintaining work for those aged 55+. Integrate overlapping benefits - a single integrated benefit Mirrlees et al (2011) - ifs and universal credit reforms. How should we think about the minimum/living wage and incidence? Rothstein (2010). Reduce disincensves at key margins for the educated enhancing working lifesme and the career earnings profile simulasons in BDMS (2014) show significant on human capital. Limits to tax rate rises at the top without tax base reform.

The taxason of income from earnings Consider the role of evidence under five headings: 1. Key margins of adjustment to reform 2. Measurement of effecsve incensves 3. The importance of informason and complexity 4. Evidence on the size of responses 5. ImplicaSons for policy design Some references follow:

Some References: (see also my website http://www.ucl.ac.uk/~uctp39a/) Besley, T. and S. Coate (1992), Workfare versus Welfare: Incentive Arguments for Work Requirement in Poverty Alleviation Programs, American Economic Review, 82(1), 249-261. Blundell, R. (2012) "Tax Policy Reform: The Role of Empirical Evidence," Journal of the European Economic Association, 10(1), 43-77, 02, http://www.ucl.ac.uk/~uctp39a/ JEAAMirrleesFinal.pdf Blundell, R., Bozio, A. and Laroque, G. (2011), Labour Supply and the Extensive Margin, American Economic Review, Volume 101, Issue 3, May, 482-486. Blundell, R., M. Costa-Dias, C. Meghir and J. Shaw (2016), Female Labour Supply, Human Capital and Welfare Reform, Econometrica. Blundell, R, Duncan, A, McCrae, J and Meghir, C. (2000), "The Labour Market Impact of the Working Families' Tax Credit", Fiscal Studies, 21(1). Blundell, R. and Hoynes, H. (2004), "In-Work Benefit Reform and the Labour Market", in Richard Blundell, David Card and Richard.B. Freeman (eds) Seeking a Premier League Economy. Chicago: University of Chicago Press. Blundell, R. and MaCurdy, T. (1999), "Labour Supply: A Review of Alternative Approaches", in Ashenfelter and Card (eds), Handbook of Labour Economics, Elsevier North-Holland. Blundell, R. and A. Shephard (2012) "Employment, Hours of Work and the Optimal Taxation of Low-Income Families," Review of Economic Studies, vol. 79(2), pages 481-510.

Brewer, M. (2003), The New Tax Credits, IFS Briefing Note No. 25, www.ifs.org.uk Brewer, M. A. Duncan, A. Shephard, M-J Suárez, (2006), Did the Working Families Tax Credit Work?, Labour Economics, 13(6), 699-720. Brewer, M, E Saez, and A Shephard. 2010. Means-testing and Tax Rates on Earnings. Mirrlees Review: Dimensions of Tax Design, ed. James Mirrlees, 90 173. Oxford University Press. http://www.ifs.org.uk/mirrleesreview Card, D and P K. Robins (1998), "Do Financial Incentives Encourage Welfare Recipients To Work?", Research in Labor Economics, 17, pp 1-56. Card, D and D. Hyslop (2005), 'Estimating the Dynamic Treatment Effects of an Earnings Subsidy for Welfare-Leavers' (with David Card), Econometrica, 73, 6 pp. 1723-1770. Diamond, P. (1980): "Income Taxation with Fixed Hours of Work," Journal of Public Economics, 13, 101-110. Eissa, N. and J. Liebman (1996), "Labor Supply Response to the Earned Income Tax Credit", Quarterly Journal of Economics, CXI, 605-637. Gruber, J., and Saez, E. (2002) The Elasticity of Taxable Income: Evidence and Implications, Journal of Public Economics, 84, 1-32. Imai, S. and M. Keane (2004) Intertemporal Labor Supply and Human Capital Accumulation, International Economic Review, vol. 45, pages 601 41. Immervoll, H., H. Kleven, C. Kreiner, and E. Saez (2007): Welfare Reform in European Countries: A Microsimulation Analysis, Economic Journal, 117, 1 44..

Laroque, G. (2004), Income Maintenance and Labour Force Participation, Econometrica, 73(2), 341-376. Mirrlees, J.A. (1971), The Theory of Optimal Income Taxation, Review of Economic Studies, 38, 175-208. Moffitt, R. (1983), "An Economic Model of Welfare Stigma", American Economic Review, 73(5), 1023-1035. Rothstein, J. "Is the EITC as Good as an NIT? Conditional Cash Transfers and Tax Incidence." American Economic Journal: Economic Policy 2 (1), February 2010, p.p. 177-208. Saez, E. (2002): "Optimal Income Transfer Programs: Intensive versus Extensive Labor Supply Responses," Quarterly Journal of Economics, 117, 1039-1073. Saez, E. (2010) Do Taxpayers Bunch at Kink Points?, AEJ: Economic Policy, Vol. 2, 180-212. Saez, E., J. Slemrod, and S. Giertz (2012) The Elasticity of Taxable Income with Respect to Marginal Tax Rates, Journal of Economic Literature 50(1), 3-50. Piketty, T, E Saez, and S Stantcheva. 2014. Optimal Taxation of Top Incomes: A Tale of Three Elasticities. American Economic Journal: Economic Policy 6 (1): 230-271. Slemrod, J. and W. Kopczuk (2002), The optimal elasticity of taxable income, Journal of Public Economics 84 (2002) 91 112