IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/20773.html
   My bibliography  Save this paper

Evaluation of Dutch election programs: The impact of parameter uncertainty

Author

Listed:
  • Knoben, J.
  • Kerkhofs, M.
  • Graafland, J.J.

Abstract

Shortly before the national elections in the Netherlands, the Netherlands Bureau for Economic Policy Analysis (CPB) evaluates the economic effects of the policy proposals in election programs. This paper investigates the sensitivity of this analysis to the uncertainty of parameter estimates in the economic models that are used. For this purpose, a Monte Carlo analysis of five election programs is performed, using a core version of one of the CPB models. We find that the range of projected outcomes is surprisingly small. Nonetheless, caution remains needed, especially when the estimated effects of different parties are roughly similar.

Suggested Citation

  • Knoben, J. & Kerkhofs, M. & Graafland, J.J., 2004. "Evaluation of Dutch election programs: The impact of parameter uncertainty," MPRA Paper 20773, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:20773
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/20773/1/MPRA_paper_20773.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Donders, Jan & Graafland, Johan, 1998. "CPB models and employment policy in the Netherlands," Economic Modelling, Elsevier, vol. 15(3), pages 341-356, July.
    2. Bovenberg, A. Lans & Graafland, Johan J. & de Mooij, Ruud A., 2000. "Tax reform and the Dutch labor market: an applied general equilibrium approach," Journal of Public Economics, Elsevier, vol. 78(1-2), pages 193-214, October.
    3. Graafland, J.J. & Huizinga, F.H., 1998. "Taxes and benefits in a non-linear wage equation," MPRA Paper 21076, University Library of Munich, Germany.
    4. Draper, D.A.G., 2000. "Towards an econometric model for the Netherlands : Explaining unemployment," Other publications TiSEM 8d6f0572-d552-4ca2-9df3-6, Tilburg University, School of Economics and Management.
    5. Francis X. Diebold, 1998. "The Past, Present, and Future of Macroeconomic Forecasting," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 175-192, Spring.
    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. Ruud de Mooij, 2004. "Towards efficient unemployment insurance in the Netherlands," CPB Memorandum 100, CPB Netherlands Bureau for Economic Policy Analysis.
    2. Bovenberg, A. Lans & Graafland, Johan J. & de Mooij, Ruud A., 2000. "Tax reform and the Dutch labor market: an applied general equilibrium approach," Journal of Public Economics, Elsevier, vol. 78(1-2), pages 193-214, October.
    3. Graafland, Johan J. & de Mooij, Ruud A., 1999. "Fiscal policy and the labour market: An AGE analysis," Economic Modelling, Elsevier, vol. 16(2), pages 189-219, April.
    4. Ruud de Mooij, 2007. "Reinventing the Dutch tax-benefit system; exploring the frontier of the equity-efficiency trade-off," CPB Discussion Paper 88, CPB Netherlands Bureau for Economic Policy Analysis.
    5. Ruud A. De Mooij & Bas Jacobs & Kees Folmer, 2007. "Analyzing a Flat Income Tax in the Netherlands," CESifo Working Paper Series 1890, CESifo.
    6. Graafland, Johan J., 2000. "Childcare subsidies, labour supply and public finance: an AGE approach," Economic Modelling, Elsevier, vol. 17(2), pages 209-246, April.
    7. Adnan Haider Bukhari & Safdar Ullah Khan, 2008. "A Small Open Economy DSGE Model for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 963-1008.
    8. KAMKOUM, Arnaud Cedric, 2023. "The Federal Reserve’s Response to the Global Financial Crisis and its Effects: An Interrupted Time-Series Analysis of the Impact of its Quantitative Easing Programs," Thesis Commons d7pvg, Center for Open Science.
    9. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    10. Chen Yu-Fu & Funke Michael, 2004. "Working Time and Employment Under Uncertainty," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-23, September.
    11. Heilemann, Ullrich & Stekler, Herman, 2007. "Introduction to "The future of macroeconomic forecasting"," International Journal of Forecasting, Elsevier, vol. 23(2), pages 159-165.
    12. Martinez-Martin Jaime & Morris Richard & Onorante Luca & Piersanti Fabio Massimo, 2024. "Merging Structural and Reduced-Form Models for Forecasting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 24(1), pages 399-437, January.
    13. Berger, Johannes & Strohner, Ludwig, 2020. "Documentation of the PUblic Policy Model for Austria and other European countries (PUMA)," Research Papers 11, EcoAustria – Institute for Economic Research.
    14. Bargain, Olivier B. & Orsini, Kristian & Peichl, Andreas, 2011. "Labor Supply Elasticities in Europe and the US," IZA Discussion Papers 5820, Institute of Labor Economics (IZA).
    15. Skrypnik, Dmitriy, 2016. "A Macroeconomic Model of the Russian Economy," MPRA Paper 93506, University Library of Munich, Germany.
    16. Michael Klien & Andrea Kunnert, 2016. "Baubewilligungen für neue Wohneinheiten in Österreich. Prognose Herbst 2016," WIFO Studies, WIFO, number 65638, April.
    17. Javier Andrés & Fernando Restoy, 2007. "Macroeconomic modelling in EMU: how relevant is the change in regime?," Working Papers 0718, Banco de España.
    18. Frits Bos & Coen Teulings, 2012. "The world’s oldest fiscal watchdog: CPB’s analyses foster consensus on economic policy," CPB Discussion Paper 207, CPB Netherlands Bureau for Economic Policy Analysis.
    19. Croushore, D., 2002. "Comments on 'The state of macroeconomic forecasting'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 483-489, December.
    20. Morck, Randall & Yeung, Bernard, 2011. "Economics, History, and Causation," Business History Review, Cambridge University Press, vol. 85(1), pages 39-63, April.

    More about this item

    Keywords

    Model simulation; policy evaluation; parameter uncertainty; CGE models;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

    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:pra:mprapa:20773. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.