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SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

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Page 1: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

SWITCH:Methods and Applications

Michael Savage25th June 2015

SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Page 2: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Overview

What is a tax-benefit model? Why are they needed?

SWITCH: The ESRI Tax-Benefit Microsimulation model

Some Recent Examples Distributional impact of discretionary policy during the

Great Recession Exploring tax and welfare options for Budget 2016 Financial incentives to work facing the unemployed

Page 3: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Tax-benefit microsimulation models – what are they?

Detailed nationally representative data on individual families (micro level data)

Simulate rules of current and potential reform systems – and compare outcomes

Change in Policy

• Distributional Analysis

• Exchequer Impact

• Poverty Impact

Change in behaviour

• Examine Work Incentives

• RRs, PTRs, METRs

What If?

Page 4: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Why are tax-benefit models needed?

Microsimulation models provide a nationally representative picture of the impact of policy changes Based on data from real people

“Example household” approach Requires assumptions on wages, household composition,

benefit entitlement... Results are unrepresentative of population

International microsimulation models include: UK (Treasury, DWP, IFS); US (Treasury, OMB, Brookings/Urban

Institute TPC); Canada (StatCan); Australia (NATSEM, Univ. Melbourne); EU (EUROMOD ISER at Univ. Essex)

Page 5: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

SWITCH - Simulating Welfare and Income Tax CHanges Based on SILC 2010 RMF from CSO 11,500+ individuals in 4,500+ households

6,000+ tax units Representation of the tax base ensured by

weights based on: Revenue Income Distribution Statistics DSP projections of numbers on schemes QEC forecasts of employment/unemployment etc.

1,300+ policy parameters

Page 6: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Examples of areas investigated using SWITCH

Income tax Social Welfare PRSI & levies USC

Property tax Public sector pay

Water charges & subsidies

Indirect Taxes

Occupational pensions

Medical and GP visit cards

Housing: HAP &

differential rent

Labour supplyChildcare costs

Early Childhood Care and Education Scheme

Social impact assessment

Page 7: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Examples of population groups investigated using SWITCH

Full Population Employees Unemployed

Jobseekers

Lone Parents Retired Home Duties

Those in Poverty

Families with/without

children

Gender impact

Page 8: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

The Distributional Impact of Discretionary Tax and Welfare Policy during the Great

Recession

Source: ESRI QEC Special Article http://www.esri.ie/publications/search_for_a_publication/search_results/view/index.xml?id=4125

Page 9: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

“Austerity” and Other Measures during Great Recession

Income tax bands and credits reduced Nominal cuts in welfare payment rates, child

benefit

Public Sector pay cuts Property tax, USC, Water Charges

VAT, Carbon Tax, CGT and DIRT increases Tax relief for pension contributions, health

insurance reduced

Page 10: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Impact of Budgetary Policy 2009-2015 - Percentage Change in Disposable Income by Income Decile

Page 11: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Distributional Impact of Changes in Tax and Welfare Policy Options for

Budget 2016

Source: Budget Perspectives 2016http://www.esri.ie/publications/latest_publications/view/index.xml?id=4226

Page 12: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Distributive Impact of Alternative Tax Policy Instruments (equal cost €500m)

Page 13: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Distributive Impact of Alternative Tax Policy Instruments (equal cost €500m)

Page 14: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Distributive Impact of a 2% Increase in Welfare Payment Rates

Page 15: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Examining Financial Incentives to Work for Unemployed Jobseekers in SWITCH

Source: Budget Perspectives 2016 http://www.esri.ie/publications/search_for_a_publication/search_results/view/index.xml?id=4227

Page 16: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Measuring the Financial Incentive to Work

Replacement Rate measures how much of in-work income is “replaced” when out-of-work

In-work income €500, Out-of-work income €250, Replacement Rate = 50%

Income DisposableFamily Work In

Income DisposableFamily Work ofOut*100RR

Page 17: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Distribution of Replacement Rates, Ireland 2015

Rep Rate Category

Unemployed on JA/JB Employees

% %

>70 18.3 16.2

>80 11.0 8.3

>90 5.6 3.4

>100 2.8 1.4

Est. Pop. 163,000 1,581,000

Page 18: SWITCH: Methods and Applications Michael Savage 25 th June 2015 SWITCH Team: T. Callan, M. Savage, B. Colgan, J.R. Walsh

Potential Future SWITCH Development

Indirect Taxes

Universal Health Insurance Medical Card Valuation Options

Development of Housing Support Payments Income Before and After Housing Costs

Budget Constraints (eg. how disposable income changes at various hours of work)

International Comparisons (project planned with IFS on work incentives)