IDEAS home Printed from https://ideas.repec.org/p/ipt/taxref/201603.html
   My bibliography  Save this paper

Dynamic scoring of tax reforms in the European Union

Author

Listed:

Abstract

In this paper, we present a dynamic scoring analysis of tax reforms for European countries. In this analysis we account for the feedback effects resulting from the adjustment in the labour market and for the economy-wide reaction to tax policy changes. We combine the microsimulation model EUROMOD, extended to incorporate an estimated labour supply model, with the new Keynesian DSGE model QUEST, used by the European Commission for analysing fiscal and structural reform in EU member states. These two models are connected in two ways: by introducing tax policy shocks in QUEST, derived from computing changes in implicit tax rates using EUROMOD; and by calibrating the elasticity of labour supply and the non-participation rates, by skill categories, in QUEST from values calculated using EUROMOD and the estimated labour supply function. Moreover, we discuss aggregation issues and the consistency between the micro and macro modelling of labour supply and interpret the model interaction in terms of tax incidence analysis. We illustrate the methodological approach with the results obtained when scoring specific reforms in three EU Member States, namely, Italy, Belgium and Poland. We compare two different scenarios one in which the behavioural response to tax changes over the medium term is ignored and another scenario where this behavioural dimension is embedded into the microsimulation model. Our results suggest that accounting for the behavioural reaction and macroeconomic feedback to tax policy changes enriches the tax reforms' analysis, by increasing the accuracy of the direct fiscal and distributional impact assessment provided by the microsimulation model for the three reforms considered. Our results are also in line with the evidence on dynamic scoring exercises, showing that most tax reforms entail relatively small feedback effects (see Gravelle, 2015, for a recent review focusing on the US dynamic scoring experience). In our particular setting, the relatively small behaviour effects are directly linked to the nature of the tax reforms implemented, where a decrease of the employees tax burden generates opposite wage and employment effects in the labour market.

Suggested Citation

  • Salvador Barrios & Mathias Dolls & Anamaria Maftei & Andreas Peichl & Sara Riscado & Janos Varga & Christian Wittneben, 2016. "Dynamic scoring of tax reforms in the European Union," JRC Working Papers on Taxation & Structural Reforms 2016-03, Joint Research Centre.
  • Handle: RePEc:ipt:taxref:201603
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC104193
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Martin Larch & Alessandro Turrini, 2010. "The cyclically adjusted budget balance in EU fiscal policymaking," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 45(1), pages 48-60, January.
    2. R. Aaberge & U. Colombino & T. Wennemo, 2009. "Evaluating Alternative Representations Of The Choice Sets In Models Of Labor Supply," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 586-612, July.
    3. Richard Blundell & Alan Duncan & Julian McCrae & Costas Meghir, 2000. "The labour market impact of the working families’ tax credit," Fiscal Studies, Institute for Fiscal Studies, vol. 21(1), pages 75-103, March.
    4. Löffler, Max & Peichl, Andreas & Siegloch, Sebastian, 2013. "Validating Structural Labor Supply Models," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79819, Verein für Socialpolitik / German Economic Association.
    5. Fullerton, Don & Metcalf, Gilbert E., 2002. "Tax incidence," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 4, chapter 26, pages 1787-1872, Elsevier.
    6. Keane, Michael & Moffitt, Robert, 1998. "A Structural Model of Multiple Welfare Program Participation and Labor Supply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 553-589, August.
    7. Raj Chetty & Adam Guren & Day Manoli & Andrea Weber, 2013. "Does Indivisible Labor Explain the Difference between Micro and Macro Elasticities? A Meta-Analysis of Extensive Margin Elasticities," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 1-56.
    8. Filippo Altissimo & Stefano Siviero & Daniele Terlizzese, 2002. "How Deep are the Deep Parameters?," Annals of Economics and Statistics, GENES, issue 67-68, pages 207-226.
    9. Salvador Barrios & Francesco Figari & Luca Gandullia & Sara Riscado, 2016. "The fiscal and equity impact of tax expenditures in the European Union," JRC Working Papers on Taxation & Structural Reforms 2016-01, Joint Research Centre.
    10. Salvador Barrios & Serena Fatica & Diego Martinez-Lopez & Gilles Mourre, 2018. "The Fiscal Effects of Work-related Tax Expenditures in Europe," Public Finance Review, , vol. 46(5), pages 793-820, September.
    11. Alan J. Auerbach, 2005. "Dynamic Scoring: An Introduction to the Issues," American Economic Review, American Economic Association, vol. 95(2), pages 421-425, May.
    12. John Cockburn & Luc Savard & Luca Tiberti, 2014. "Macro-Micro Models," Contributions to Economic Analysis, in: Handbook of Microsimulation Modelling, volume 127, pages 275-304, Emerald Group Publishing Limited.
    13. Leeper, Eric M. & Yang, Shu-Chun Susan, 2008. "Dynamic scoring: Alternative financing schemes," Journal of Public Economics, Elsevier, vol. 92(1-2), pages 159-182, February.
    14. Hoynes, Hilary Williamson, 1996. "Welfare Transfers in Two-Parent Families: Labor Supply and Welfare Participation under AFDC-UP," Econometrica, Econometric Society, vol. 64(2), pages 295-332, March.
    15. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
    16. Mankiw, N. Gregory & Weinzierl, Matthew, 2006. "Dynamic scoring: A back-of-the-envelope guide," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1415-1433, September.
    17. John Creedy & Guyonne Kalb, 2005. "Discrete Hours Labour Supply Modelling: Specification, Estimation and Simulation," Journal of Economic Surveys, Wiley Blackwell, vol. 19(5), pages 697-734, December.
    18. repec:adr:anecst:y:2002:i:67-68:p:09 is not listed on IDEAS
    19. Raj Chetty, 2012. "Bounds on Elasticities With Optimization Frictions: A Synthesis of Micro and Macro Evidence on Labor Supply," Econometrica, Econometric Society, vol. 80(3), pages 969-1018, May.
    20. Bourguignon, François & Bussolo, Maurizio, 2013. "Income Distribution in Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1383-1437, Elsevier.
    21. Salvador Barrios & Raffaele Fargnoli, 2010. "Discretionary measures and tax revenues in the run-up to the financial crisis," European Economy - Economic Papers 2008 - 2015 419, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    22. Magnani, Riccardo & Mercenier, Jean, 2009. "On linking microsimulation and computable general equilibrium models using exact aggregation of heterogeneous discrete-choice making agents," Economic Modelling, Elsevier, vol. 26(3), pages 560-570, May.
    23. Alan J. Auerbach & Itai Grinberg, 2017. "Macroeconomic Modeling of Tax Policy: A Comparison of Current Methodologies," National Tax Journal, National Tax Association;National Tax Journal, vol. 70(4), pages 819-836, December.
    24. Olivier Bargain & Kristian Orsini & Andreas Peichl, 2014. "Comparing Labor Supply Elasticities in Europe and the United States: New Results," Journal of Human Resources, University of Wisconsin Press, vol. 49(3), pages 723-838.
    25. Jane G. Gravelle, 2015. "Dynamic Scoring: Counterpoint," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(4), pages 979-981, September.
    26. Micael Castanheira & Gaëtan Nicodème & Paola Profeta, 2012. "On the political economics of tax reforms: survey and empirical assessment," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(4), pages 598-624, August.
    27. Cogley Timothy & Yagihashi Takeshi, 2010. "Are DSGE Approximating Models Invariant to Shifts in Policy?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-33, October.
    28. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2013. "Labor-Market Heterogeneity, Aggregation, And Policy (In)Variance Of Dsge Model Parameters," Journal of the European Economic Association, European Economic Association, vol. 11, pages 193-220, January.
    29. Andreas Peichl, 2009. "The Benefits and Problems of Linking Micro and Macro Models — Evidence from a Flat Tax Analysis," Journal of Applied Economics, Taylor & Francis Journals, vol. 12(2), pages 301-329, November.
    30. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2008. "How Structural Are Structural Parameters?," NBER Chapters, in: NBER Macroeconomics Annual 2007, Volume 22, pages 83-137, National Bureau of Economic Research, Inc.
    31. Holly Sutherland & Francesco Figari, 2013. "EUROMOD: the European Union tax-benefit microsimulation model," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 4-26.
    32. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, December.
    33. Jane G. Gravelle, 2015. "Dynamic Scoring," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(4), pages 970-977, September.
    34. Hausman, Jerry A, 1985. "The Econometrics of Nonlinear Budget Sets," Econometrica, Econometric Society, vol. 53(6), pages 1255-1282, November.
    35. Marco Buti & Paul van den Noord, 2004. "Fiscal policy in EMU: Rules, discretion and political incentives," European Economy - Economic Papers 2008 - 2015 206, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    36. Peter Haan, 2006. "Much ado about nothing: conditional logit vs. random coefficient models for estimating labour supply elasticities," Applied Economics Letters, Taylor & Francis Journals, vol. 13(4), pages 251-256.
    37. Rosanne Altshuler & Nicholas Bull & John Diamond & Tim Dowd & Pamela Moomau, 2005. "The Role of Dynamic Scoring in the Federal Budget Process: Closing the Gap between Theory and Practice," American Economic Review, American Economic Association, vol. 95(2), pages 432-436, May.
    38. repec:bla:scandj:v:97:y:1995:i:4:p:635-59 is not listed on IDEAS
    39. Strulik, Holger & Trimborn, Timo, 2012. "Laffer strikes again: Dynamic scoring of capital taxes," European Economic Review, Elsevier, vol. 56(6), pages 1180-1199.
    40. Jan in 't Veld, 2013. "Fiscal consolidations and spillovers in the Euro area periphery and core," European Economy - Economic Papers 2008 - 2015 506, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    41. Decoster, André & Ochmann, Richard & Spiritus, Kevin, 2014. "Integrating VAT into EUROMOD. Documentation and results for Belgium," EUROMOD Working Papers EM12/14, EUROMOD at the Institute for Social and Economic Research.
    42. Andreas Peichl, 2016. "Linking Microsimulation and CGE models," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 167-174.
    43. Ratto, Marco & Roeger, Werner & Veld, Jan in 't, 2009. "QUEST III: An estimated open-economy DSGE model of the euro area with fiscal and monetary policy," Economic Modelling, Elsevier, vol. 26(1), pages 222-233, January.
    44. Robert Price & Thai-Thanh Dang & Yvan Guillemette, 2014. "New Tax and Expenditure Elasticity Estimates for EU Budget Surveillance," OECD Economics Department Working Papers 1174, OECD Publishing.
    45. Dagsvik, John K, 1994. "Discrete and Continuous Choice, Max-Stable Processes, and Independence from Irrelevant Attributes," Econometrica, Econometric Society, vol. 62(5), pages 1179-1205, September.
    46. Lukas Vogel, 2012. "Tax avoidance and fiscal limits: Laffer curves in an economy with informal sector," European Economy - Economic Papers 2008 - 2015 448, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    47. Riccardo Magnani & Jean Mercenier, 2007. "On linking microsimulation and applied GE by exact aggregation of heterogeneous discrete-choice making agents," THEMA Working Papers 2007-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    48. Micael Castanheira & Gaëtan Nicodème & Paola Profeta, 2012. "On the political economics of tax reforms: survey and empirical assessment," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(4), pages 598-624, August.
    49. Olivier Bargain & Kristian Orsini & Andreas Peichl, 2014. "Comparing Labor Supply Elasticities in Europe and the United States: New Results," Journal of Human Resources, University of Wisconsin Press, vol. 49(3), pages 723-838.
    50. European Commission, 2008. "Taxation trends in the European Union: 2008 edition," Taxation trends 2008, Directorate General Taxation and Customs Union, European Commission.
    51. Trabandt, Mathias & Uhlig, Harald, 2011. "The Laffer curve revisited," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 305-327.
    52. Arthur van Soest, 1995. "Structural Models of Family Labor Supply: A Discrete Choice Approach," Journal of Human Resources, University of Wisconsin Press, vol. 30(1), pages 63-88.
    53. Janos Varga & Jan in 't Veld, 2014. "The potential growth impact of structural reforms in the EU. A benchmarking exercise," European Economy - Economic Papers 2008 - 2015 541, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    54. Stuart Adam & Antoine Bozio, 2009. "Dynamic scoring," OECD Journal on Budgeting, OECD Publishing, vol. 9(2), pages 1-26.
    55. Tim Callan & Arthur Van Soest & John R. Walsh, 2009. "Tax Structure and Female Labour Supply: Evidence from Ireland," LABOUR, CEIS, vol. 23(1), pages 1-35, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dolls, Mathias & Wittneben, Christian, 2017. "Dynamic Scoring of Tax Reforms in the EU," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168261, Verein für Socialpolitik / German Economic Association.
    2. Rolf Aaberge & Ugo Colombino, 2014. "Labour Supply Models," Contributions to Economic Analysis, in: Handbook of Microsimulation Modelling, volume 127, pages 167-221, Emerald Group Publishing Limited.
    3. Mauro Mastrogiacomo & Nicole M. Bosch & Miriam D. A. C. Gielen & Egbert L. W. Jongen, 2017. "Heterogeneity in Labour Supply Responses: Evidence from a Major Tax Reform," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 769-796, October.
    4. Löffler, Max & Peichl, Andreas & Siegloch, Sebastian, 2013. "Validating Structural Labor Supply Models," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79819, Verein für Socialpolitik / German Economic Association.
    5. Löffler, Max & Peichl, Andreas & Pestel, Nico & Siegloch, Sebastian & Sommer, Eric, 2014. "Documentation IZA?MOD v3.0: The IZA Policy Simulation Model," IZA Discussion Papers 8553, Institute of Labor Economics (IZA).
    6. Bart Capéau & André Decoster & Stijn Van Houtven, 2024. "Piecemeal Modeling of the Effects of Joint Direct and Indirect Tax Reforms," Public Finance Review, , vol. 52(1), pages 111-149, January.
    7. Andreas Peichl, 2016. "Linking Microsimulation and CGE models," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 167-174.
    8. Bessho, Shun-ichiro & Hayashi, Masayoshi, 2014. "Intensive margins, extensive margins, and spousal allowances in the Japanese system of personal income taxes: A discrete choice analysis," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 162-178.
    9. Kabátek, Jan, 2015. "Essays on public policy and household decision making," Other publications TiSEM 8cdb178e-ad98-42e5-a7e1-b, Tilburg University, School of Economics and Management.
    10. Olivier Bargain & Mathias Dolls & Dirk Neumann & Andreas Peichl & Sebastian Siegloch, 2014. "Comparing inequality aversion across countries when labor supply responses differ," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 21(5), pages 845-873, October.
    11. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
    12. John K. Dagsvik & Zhiyang Jia & Tom Kornstad & Thor O. Thoresen, 2014. "Theoretical And Practical Arguments For Modeling Labor Supply As A Choice Among Latent Jobs," Journal of Economic Surveys, Wiley Blackwell, vol. 28(1), pages 134-151, February.
    13. Kabátek, Jan & van Soest, Arthur & Stancanelli, Elena, 2014. "Income taxation, labour supply and housework: A discrete choice model for French couples," Labour Economics, Elsevier, vol. 27(C), pages 30-43.
    14. Shun-ichiro Bessho & Masayoshi Hayashi, 2015. "Should the Japanese tax system be more progressive? An evaluation using the simulated SMCFs based on the discrete choice model of labor supply," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(1), pages 144-175, February.
    15. Chiara Daniela Pronzato, 2014. "Fighting Lone Mothers’ Poverty through In-Work Benefits. Methodological Issues and Policy Suggestions," CHILD Working Papers Series 23, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.
    16. Zhiyang Jia & Thor O. Thoresen & Trine E. Vattø & Thor Olav Thoresen, 2024. "Explaining the Declining Labor Supply Responsiveness of Married Women," CESifo Working Paper Series 11176, CESifo.
    17. Buhlmann, Florian & Hebsaker, Michael & Kreuz, Tobias & Schmidhäuser, Jakob & Siegloch, Sebastian & Stichnoth, Holger, 2022. "ZEW-EviSTA: A microsimulation model of the German tax and transfer system," ZEW Discussion Papers 22-026, ZEW - Leibniz Centre for European Economic Research.
    18. repec:hal:pseose:hal-00966801 is not listed on IDEAS
    19. Olivier Bargain & Kristian Orsini & Andreas Peichl, 2014. "Comparing Labor Supply Elasticities in Europe and the United States: New Results," Journal of Human Resources, University of Wisconsin Press, vol. 49(3), pages 723-838.
    20. Chiara Daniela Pronzato, 2015. "Fighting Lone Mothers’ Poverty Through In-Work Benefits: Methodological Issues and Policy Suggestions," CESifo Economic Studies, CESifo Group, vol. 61(1), pages 95-122.
    21. Klára Kalíšková, 2020. "Tax and transfer policies and the female labor supply in the EU," Empirical Economics, Springer, vol. 58(2), pages 749-775, February.

    More about this item

    Keywords

    Dynamic scoring; tax reforms; first and second round effects; labour market behaviour;
    All these keywords.

    JEL classification:

    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ipt:taxref:201603. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.
    OSZAR »