converging unemployment insurance schemes in the eu ... · buhlmann, dolls & krolage (zew)...

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Converging Unemployment Insurance Schemes in the EU: Budgetary, Distributional and Stabilizing Effects Florian Buhlmann, Mathias Dolls, and Carla Krolage* *ZEW, University of Mannheim In cooperation with: Salvador Barrios, Viginta Ivaˇ skait˙ e-Tamoˇ si¯ un˙ e, and Virginia Maestri** **Joint Research Centre, B2 Fiscal Policy Analysis Unit, Seville 5th European User Conference for Microdata, 2017-03-02 Buhlmann, Dolls & Krolage (ZEW) Converging UI Schemes 2017-03-02 1 / 15

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Page 1: Converging Unemployment Insurance Schemes in the EU ... · Buhlmann, Dolls & Krolage (ZEW) Converging UI Schemes 2017-03-02 13 / 15. Conclusion Next Steps Simulate the e ects of macroeconomic

Converging Unemployment Insurance Schemesin the EU:

Budgetary, Distributional and Stabilizing Effects

Florian Buhlmann, Mathias Dolls, and Carla Krolage**ZEW, University of Mannheim

In cooperation with:Salvador Barrios, Viginta Ivaskaite-Tamosiune, and Virginia Maestri**

**Joint Research Centre, B2 Fiscal Policy Analysis Unit, Seville

5th European User Conference for Microdata, 2017-03-02

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Page 2: Converging Unemployment Insurance Schemes in the EU ... · Buhlmann, Dolls & Krolage (ZEW) Converging UI Schemes 2017-03-02 13 / 15. Conclusion Next Steps Simulate the e ects of macroeconomic

Introduction Motivation

Introduction

High on the EU’s political agenda: Strengthening economic policycoordination and setting EU-wide standards

Proposed convergence of unemployment insurance schemes, withtargets:

I Strengthen automatic stabilization effects of UII Increase the Eurozone’s resilience against macroeconomic shocks

⇒ We assess the effects of converging UI systems along severaldimensions:

I What are the costs, distributional, and stabilizing effects of suchreforms?

I Which EU Member States would be affected the most?

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Microsimulation Model

Why the Need for a New Model?

Existing models (EUROMOD) allow for a simulation of unemploymentbenefits, but with several important restrictions:

Cross-sectional input data: lack of information on previous earnings andwork history

Rather rough simulation: precise calculation of monthly benefits, i.e. byassuming the maximum benefit duration in countries with varying benefitdurations

Back-of-the-envelope calculations cannot be applied to previously uncoveredpeople who become eligible under a reform

Impossibility of precisely distinguishing between short- and long-termunemployed

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Microsimulation Model

Our Model

Detailed microsimulation model for 26 EU Member States’unemployment insurance systems

Based on 2012 longitudinal EU-SILC micro household data

Supplemented with LFS and EUROMOD data

Allows simulation of:I Precise individual gross monthly unemployment benefitsI Net benefits after taxation and withdrawal of other forms of

unemployment assistanceI Effect on coverage ratesI Gross and net budgetary costsI Distributional effects by income quintilesI Effect on inequality indicators

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Microsimulation Model

Reform Scenarios

Reform scenarios in line with EU policy considerations:

Minimum standards in the baseline scenario:I Maximum qualifying to reference period ratio of 50%I Minimum duration 6 monthsI 50% net replacement rate for wages below 67% of average wages

Separate and joint analysis of reform scenarios

Sensitivity analyses with more generous reformsI Maximum qualifying to reference period ratio of 40%I Minimum duration 12 monthsI 60% net replacement rate for wages below 80% of average wages

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Microsimulation Model

Simulation Procedure

Focus on short-term unemployed individuals (< 1 year) only

Detailed simulation of each country’s unemployment benefit system,accounting for individual characteristics

I Age, family status, work experience etc. as benefit determinants

Validation with LFS

Simulations of reform scenarios: Introduction of common minimumstandards

Comparison of the reform scenarios to the status quo benchmark

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Results Baseline Scenario

Changes in Coverage Rates

[0,0](0, 2.5](2.5, 5](5, 10](10, 15]No data

Figure: QTR ratio 0.5, 6 months duration, 50% net replacement rates

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Results Baseline Scenario

Changes in Gross Benefits

[0,0](0, 0.01](0.01, 0.05](0.05, 0.15](0.15, 0.3]No data

Figure: QTR ratio 0.5, 6 months duration, 50% net replacement rates

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Results Baseline Scenario

Change in the Gini Index

[0.0](0, -0.005](-0.005, -0.02](-0.02, -0.16]No data

Figure: QTR ratio 0.5, 6 months duration, 50% net replacement rates

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Results More Generous Scenario

Changes in Coverage Rates

[0,0](0, 7.5](7.5, 15](15, 22.5](22.5, 30]No data

Figure: QTR ratio 0.4, 12 months duration, 60% net replacement rates

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Results More Generous Scenario

Changes in Gross Benefits

[0,0](0, 0.04](0.04, 0.09](0.09, 0.25](0.25, 0.5]No data

Figure: QTR ratio 0.4, 12 months duration, 60% net replacement rates

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Results More Generous Scenario

Change in the Gini Index

[0,0](0, -0.015](-0.015, -0.045](-0.045, -0.075](-0.075, -0.22]No data

Figure: QTR ratio 0.4, 12 months duration, 60% net replacement rates

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Conclusion

Conclusion

We develop a detailed microsimulation model to analyze the effects ofconvergence in EU Member States’ unemployment insurance systems

Focus of the model: Coverage, costs, and distributional effects

Introduction of common minimum standards has a differential effect:I Largest impact on Portugal, Belgium, Estonia and Eastern European

countriesI Many Western crisis countries (Greece, Spain, Italy) less affected

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Conclusion

Next Steps

Simulate the effects of macroeconomic shocksI How would the reformed UI systems react to a crisis?I Simulation of labor market shocks in line with the past financial crisis:

Use the magnitude of the 2009 shocksI Or: simulate a shock of the same size for all countriesI Contrast the responses of the status-quo and reformed systems

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Conclusion Thanks!

Thank you for your attention!

Comments? Questions?

[email protected]

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