IDEAS home Printed from https://ideas.repec.org/a/eee/jfpoli/v42y2013icp88-95.html
   My bibliography  Save this article

Adjusting VAT rates to promote healthier diets in Norway: A censored quantile regression approach

Author

Listed:
  • Gustavsen, Geir Wæhler
  • Rickertsen, Kyrre

Abstract

The effects of health-related taxes and subsidies on food and beverages have mainly been investigated using models that assume identical price responses among high- and low-consuming households. Diet-related health problems are, however, more likely among households with high intakes of unhealthy foods or low intakes of healthy foods than in households with average intakes. In this article, we focus on purchases of healthy and unhealthy foods among low-, median-, and high-purchasing households. The effects of an increase in the Norwegian value-added tax (VAT) on some unhealthy foods and a removal of the VAT on some healthy foods are investigated. Using censored quantile regressions, we reject equality of the own-price elasticities for eight of nine food and beverage groups. We find that a VAT increase is more effective in reducing purchases of unhealthy foods among high-purchasing households than a VAT removal is in increasing the purchases of healthy foods among low-purchasing households.

Suggested Citation

  • Gustavsen, Geir Wæhler & Rickertsen, Kyrre, 2013. "Adjusting VAT rates to promote healthier diets in Norway: A censored quantile regression approach," Food Policy, Elsevier, vol. 42(C), pages 88-95.
  • Handle: RePEc:eee:jfpoli:v:42:y:2013:i:c:p:88-95
    DOI: 10.1016/j.foodpol.2013.07.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306919213000985
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.foodpol.2013.07.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen Zhen & Michael K. Wohlgenant & Shawn Karns & Phillip Kaufman, 2010. "Habit Formation and Demand for Sugar-Sweetened Beverages," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 175-193.
    2. O'Donoghue, Ted & Rabin, Matthew, 2006. "Optimal sin taxes," Journal of Public Economics, Elsevier, vol. 90(10-11), pages 1825-1849, November.
    3. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    4. Lisa M. Powell & Euna Han, 2011. "Adult Obesity and the Price and Availability of Food in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 378-384.
    5. Moshe Buchinsky & Jinyong Hahn, 1998. "An Alternative Estimator for the Censored Quantile Regression Model," Econometrica, Econometric Society, vol. 66(3), pages 653-672, May.
    6. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, January.
    7. Geir Wæhler Gustavsen & Kyrre Rickertsen, 2009. "The effects of taxes on purchases of sugar-sweetened carbonated soft drinks: a quantile regression approach," Applied Economics, Taylor & Francis Journals, vol. 43(6), pages 707-716.
    8. Geir Wæhler Gustavsen & Kyrre Rickertsen, 2006. "A Censored Quantile Regression Analysis of Vegetable Demand: The Effects of Changes in Prices and Total Expenditure," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(4), pages 631-645, December.
    9. Stewart, Hayden & Blisard, Noel & Jolliffe, Dean, 2003. "Do Income Constraints Inhibit Spending on Fruits and Vegetables Among Low-Income Households?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-16, December.
    10. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    11. Gustavsen, Geir Waehler & Jolliffe, Dean & Rickertsen, Kyrre, 2008. "Censored Quantile Regression and Purchases of Ice Cream," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6534, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Miljkovic, Dragan & Nganje, William & de Chastenet, Helene, 2008. "Economic factors affecting the increase in obesity in the United States: Differential response to price," Food Policy, Elsevier, vol. 33(1), pages 48-60, February.
    13. Cash, Sean B. & Lacanilao, Ryan D., 2007. "Taxing Food to Improve Health: Economic Evidence and Arguments," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(2), pages 1-9, October.
    14. Nordström, Jonas & Thunström, Linda, 2009. "The impact of tax reforms designed to encourage healthier grain consumption," Journal of Health Economics, Elsevier, vol. 28(3), pages 622-634, May.
    15. Senarath Dharmasens & Oral Capps, Jr., 2011. "Intended and Unintended Consequences of a Proposed National Tax on Sugar-Sweetened Beverages to Combat the U.S. Obesity Problem," Reports 285214, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.
    16. M. Christopher Auld & Lisa M. Powell, 2009. "Economics of Food Energy Density and Adolescent Body Weight," Economica, London School of Economics and Political Science, vol. 76(304), pages 719-740, October.
    17. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053.
    18. Bilias, Yannis & Chen, Songnian & Ying, Zhiliang, 2000. "Simple resampling methods for censored regression quantiles," Journal of Econometrics, Elsevier, vol. 99(2), pages 373-386, December.
    19. Thomas L. Cox & Michael K. Wohlgenant, 1986. "Prices and Quality Effects in Cross-Sectional Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 908-919.
    20. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    21. Hong H. & Chernozhukov V., 2002. "Three-Step Censored Quantile Regression and Extramarital Affairs," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 872-882, September.
    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. Tiboldo, Giulia & Boehm, Rebecca & Shah, Farhed & Moro, Daniele & Castellari, Elena, 2022. "Taxing the heat out of the U.S. food system," Food Policy, Elsevier, vol. 110(C).
    2. Artur Świstak & Sebastian Wawrzak & Agnieszka Alińska, 2015. "In pursuit of tax equity: lessons from VAT rate structure adjustment in Poland," Financial Theory and Practice, Institute of Public Finance, vol. 39(2), pages 115-137.
    3. Lyudmila P. Koroleva, 2020. "Impact of Value Added Tax on Macro-Economic Parameters of the Russian Economy," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 6(1), pages 22-35.
    4. Galarraga, Ibon & Abadie, Luis M. & Kallbekken, Steffen, 2016. "Designing incentive schemes for promoting energy-efficient appliances: A new methodology and a case study for Spain," Energy Policy, Elsevier, vol. 90(C), pages 24-36.
    5. Pourya Valizadeh & Shu Wen Ng, 2021. "Would A National Sugar‐Sweetened Beverage Tax in the United States Be Well Targeted?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 961-986, May.
    6. Härkänen, Tommi & Kotakorpi, Kaisa & Pietinen, Pirjo & Pirttilä, Jukka & Reinivuo, Heli & Suoniemi, Ilpo, 2014. "The welfare effects of health-based food tax policy," Food Policy, Elsevier, vol. 49(P1), pages 196-206.
    7. Ibon Galarraga & Luis M. Abadie, 2014. "The use of “Bonus-Malus†schemes for promoting energy-efficient household appliances: a case study for Spain," Working Papers 2014-06, BC3.
    8. repec:ipf:finteo:v:39:y:2015:i:3:p:115-137 is not listed on IDEAS
    9. Dirk-Jan van de Ven & Mikel González-Eguino & Iñaki Arto, 2018. "The potential of behavioural change for climate change mitigation: a case study for the European Union," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(6), pages 853-886, August.

    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. Gustavsen, Geir Waehler & Jolliffe, Dean & Rickertsen, Kyrre, 2008. "Censored Quantile Regression and Purchases of Ice Cream," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6534, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Bernd Fitzenberger & Ralf Wilke, 2006. "Using quantile regression for duration analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 105-120, March.
    3. Ji, Yonggang & Lin, Nan & Zhang, Baoxue, 2012. "Model selection in binary and tobit quantile regression using the Gibbs sampler," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 827-839.
    4. Chernozhukov, Victor & Fernández-Val, Iván & Kowalski, Amanda E., 2015. "Quantile regression with censoring and endogeneity," Journal of Econometrics, Elsevier, vol. 186(1), pages 201-221.
    5. Lin, Guixian & He, Xuming & Portnoy, Stephen, 2012. "Quantile regression with doubly censored data," Computational Statistics & Data Analysis, Elsevier, vol. 56(4), pages 797-812.
    6. Geir Wæhler Gustavsen & Kyrre Rickertsen, 2009. "The effects of taxes on purchases of sugar-sweetened carbonated soft drinks: a quantile regression approach," Applied Economics, Taylor & Francis Journals, vol. 43(6), pages 707-716.
    7. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    8. Rima Rajab & Milan Dražić & Nenad Mladenović & Pavle Mladenović & Keming Yu, 2015. "Fitting censored quantile regression by variable neighborhood search," Journal of Global Optimization, Springer, vol. 63(3), pages 481-500, November.
    9. Kim, Mo Se & Lee, Byung Sung & Lee, Hye Seon & Lee, Seung Ho & Lee, Junseok & Kim, Wonse, 2020. "Robust estimation of outage costs in South Korea using a machine learning technique: Bayesian Tobit quantile regression," Applied Energy, Elsevier, vol. 278(C).
    10. Honore, Bo & Khan, Shakeeb & Powell, James L., 2002. "Quantile regression under random censoring," Journal of Econometrics, Elsevier, vol. 109(1), pages 67-105, July.
    11. Machado, José A.F. & Santos Silva, J.M.C. & Wei, Kehai, 2016. "Quantiles, corners, and the extensive margin of trade," European Economic Review, Elsevier, vol. 89(C), pages 73-84.
    12. Komunjer, Ivana, 2013. "Quantile Prediction," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 961-994, Elsevier.
    13. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    14. Härkänen, Tommi & Kotakorpi, Kaisa & Pietinen, Pirjo & Pirttilä, Jukka & Reinivuo, Heli & Suoniemi, Ilpo, 2014. "The welfare effects of health-based food tax policy," Food Policy, Elsevier, vol. 49(P1), pages 196-206.
    15. Jiang, Rong & Qian, Weimin & Zhou, Zhangong, 2012. "Variable selection and coefficient estimation via composite quantile regression with randomly censored data," Statistics & Probability Letters, Elsevier, vol. 82(2), pages 308-317.
    16. Halkos, George E., 2011. "Nonparametric modelling of biodiversity: Determinants of threatened species," Journal of Policy Modeling, Elsevier, vol. 33(4), pages 618-635, July.
    17. Gabrielle Fack & Camille Landais, 2010. "Are Tax Incentives for Charitable Giving Efficient? Evidence from France," American Economic Journal: Economic Policy, American Economic Association, vol. 2(2), pages 117-141, May.
    18. Achim Schmillen & Joachim Möller, 2009. "Determinants of Lifetime Unemployment - A Micro Data Analysis with Censored Quantile Regressions," Working Papers 275, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    19. Halkos, George, 2010. "Modelling biodiversity," MPRA Paper 39075, University Library of Munich, Germany.

    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:eee:jfpoli:v:42:y:2013:i:c:p:88-95. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/foodpol .

    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.