IDEAS home Printed from https://ideas.repec.org/p/cpb/discus/297.html

Robust estimation of the VAT pass-through in the Netherlands

Author

Listed:
  • Martin Mellens
  • Hendrik Vrijburg

    (EUR)

  • Jonneke Dijkstra

    (EUR)

Abstract

This paper introduces the Common Correlated Effects Estimator into the study of Value-Added-Tax pass-through and compares this method to various other methodologies used in the literature. To this end, we study two Value-Added-Tax increases in the Netherlands, in January 2001 and October 2012. We show that the Common Correlated Effects Estimator produces robust estimates, especially when divergent macroeconomic trends make identification more difficult. Furthermore, we show that the choice of the control group is of lesser importance once sufficient control variables are included. Our results indicate, in accordance with most findings in the literature, that we cannot reject the null-hypothesis of a full pass-through for both Dutch tax-hikes.

Suggested Citation

  • Martin Mellens & Hendrik Vrijburg & Jonneke Dijkstra, 2014. "Robust estimation of the VAT pass-through in the Netherlands," CPB Discussion Paper 297, CPB Netherlands Bureau for Economic Policy Analysis.
  • Handle: RePEc:cpb:discus:297
    as

    Download full text from publisher

    File URL: https://www.cpb.nl/system/files/cpbmedia/publicaties/download/cpb-discussion-paper-297-robust-estimation-vat-pass-through-netherlands.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    2. Clément Carbonnier, 2005. "Is Tax Shifting Asymmetric? Evidence from French VAT reforms, 1995-2000," Working Papers halshs-00590719, HAL.
    3. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    4. Mr. Stephan Danninger & Ms. Alina Carare, 2008. "Inflation Smoothing and the Modest Effect of VAT in Germany," IMF Working Papers 2008/175, International Monetary Fund.
    5. Jonathan R. Kesselman, 2011. "Consumer Impacts of BC's Harmonized Sales Tax: Tax Grab or Pass-Through?," Canadian Public Policy, University of Toronto Press, vol. 37(2), pages 139-162, June.
    6. Michael Smart & Richard M. Bird, 2009. "The Economic Incidence of Replacing a Retail Sales Tax with a Value-Added Tax: Evidence from Canadian Experience," Canadian Public Policy, University of Toronto Press, vol. 35(1), pages 85-97, March.
    7. Richard Blundell, 2009. "Assessing the Temporary VAT Cut Policy in the UK," Fiscal Studies, John Wiley & Sons, vol. 30(1), pages 31-38, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Egbert Jongen & Arjan Lejour & Gabriella Massenz, 2018. "Cheaper and More Haircuts After VAT Cut? Evidence from the Netherlands," De Economist, Springer, vol. 166(2), pages 135-154, June.
    2. 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.
    3. Jaworski, Krystian & Olipra, Jakub, 2025. "Cutting VAT rate on food products in a high-inflation environment. Does it work out?," Food Policy, Elsevier, vol. 131(C).
    4. Ván, Bálint & Oláh, Dániel, 2018. "Does VAT Cut Appear on the Menu? – The Consumer Price Impact of Hungarian VAT Decreases of 2016–2017," Public Finance Quarterly, Corvinus University of Budapest, vol. 63(3), pages 355-375.
    5. Egbert Jongen & Arjan Lejour & Gabriella Massenz, 2018. "Cheaper and More Haircuts After VAT Cut? Evidence from the Netherlands," De Economist, Springer, vol. 166(2), pages 135-154, June.

    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. Martin Mellens & Hendrik Vrijburg & Jonneke Dijkstra, 2014. "Robust estimation of the VAT pass-through in the Netherlands," CPB Discussion Paper 297.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    2. Karol Jan Borowiecki & Trilce Navarrete, 2018. "Fiscal and economic aspects of book consumption in the European Union," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 309-339, May.
    3. Hansen, Christian & Liao, Yuan, 2019. "The Factor-Lasso And K-Step Bootstrap Approach For Inference In High-Dimensional Economic Applications," Econometric Theory, Cambridge University Press, vol. 35(3), pages 465-509, June.
    4. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.
    5. Ting Zhang, 2016. "Addressing Unobserved Heterogeneity in the Relationship Between Crime and Consumer Confidence," Journal of Quantitative Criminology, Springer, vol. 32(1), pages 47-59, March.
    6. Thomas Crossley & Hamish Low & Cath Sleeman, 2014. "Using a temporary indirect tax cut as a fiscal stimulus: evidence from the UK," IFS Working Papers W14/16, Institute for Fiscal Studies.
    7. Singh, Vinay Kumar & Ghosh, Sajal, 2021. "Financial inclusion and economic growth in India amid demonetization: A case study based on panel cointegration and causality," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 674-693.
    8. Marc K. Chan & Simon S. Kwok, 2022. "The PCDID Approach: Difference-in-Differences When Trends Are Potentially Unparallel and Stochastic," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1216-1233, June.
    9. Littke, Helge C.N. & Ossandon Busch, Matias, 2021. "Banks fearing the drought? Liquidity hoarding as a response to idiosyncratic interbank funding dry-ups," Journal of International Money and Finance, Elsevier, vol. 119(C).
    10. Joseph Fry, 2023. "A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls," Papers 2312.01209, arXiv.org, revised Mar 2024.
    11. Yana Petrova & Joakim Westerlund, 2020. "Fixed effects demeaning in the presence of interactive effects in treatment effects regressions and elsewhere," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 960-964, November.
    12. Ferede, Ergete & Dahlby, Bev, 2012. "The Impact of Tax Cuts on Economic Growth: Evidence From the Canadian Provinces," National Tax Journal, National Tax Association;National Tax Journal, vol. 65(3), pages 563-594, September.
    13. Chung, Sunghoon & Lee, Joonhyung & Osang, Thomas, 2016. "Did China tire safeguard save U.S. workers?," European Economic Review, Elsevier, vol. 85(C), pages 22-38.
    14. Callaway, Brantly & Karami, Sonia, 2023. "Treatment effects in interactive fixed effects models with a small number of time periods," Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
    15. John Schmitt, 2015. "Explaining the Small Employment Effects of the Minimum Wage in the United States," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(4), pages 547-581, October.
    16. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    17. Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2019. "Inference on average treatment effects in aggregate panel data settings," CeMMAP working papers CWP32/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Ekaterina Jardim & Mark C. Long & Robert Plotnick & Emma van Inwegen & Jacob Vigdor & Hilary Wething, 2017. "Minimum Wage Increases, Wages, and Low-Wage Employment: Evidence from Seattle," NBER Working Papers 23532, National Bureau of Economic Research, Inc.
    19. Timo Schenk, 2023. "Time-Weighted Difference-in-Differences: Accounting for Common Factors in Short T Panels," Tinbergen Institute Discussion Papers 23-004/III, Tinbergen Institute.
    20. Bruno Ferman, 2023. "Inference in difference‐in‐differences: How much should we trust in independent clusters?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 358-369, April.

    More about this item

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • H22 - Public Economics - - Taxation, Subsidies, and Revenue - - - Incidence

    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:cpb:discus:297. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cpbgvnl.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.