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Using the OECD equivalence scale in taxes and benefits analysis

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  • Grace Anyaegbu

    (Office for National Statistics)

Abstract

Equivalence scales make adjustments to the incomes of households so that households with different compositions can be analysed. The effects of taxes and benefits on household income (ETB) analysis uses the McClements equivalence scale to examine how taxes and benefi ts redistribute income between households in the UK. However, many other household income statistics, including indicators published by the Department for Work and Pensions and the European Union (EU), use the Organisation for Economic Cooperation and Development (OECD) equivalence scale. Thus, estimates produced in the ETB analysis cannot be easily compared with other key income statistics. This article seeks to outline the effects of switching to the OECD equivalence scale on the effects of taxes and benefits on household income analysis.

Suggested Citation

  • Grace Anyaegbu, 2010. "Using the OECD equivalence scale in taxes and benefits analysis," Economic & Labour Market Review, Palgrave Macmillan;Office for National Statistics, vol. 4(1), pages 49-54, January.
    • Handle: RePEc:pal:ecolmr:v:4:y:2010:i:1:p:49-54
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    Cited by:

    1. Nicholas Oulton, 2022. "The Productivity-Welfare Linkage: A Decomposition," Discussion Papers 2205, Centre for Macroeconomics (CFM).
    2. David Waynforth, 2020. "Mother–Infant Co-Sleeping and Maternally Reported Infant Breathing Distress in the UK Millennium Cohort," IJERPH, MDPI, vol. 17(9), pages 1-10, April.
    3. Patrick Bodenmann & Bernard Favrat & Hans Wolff & Idris Guessous & Francesco Panese & Lilli Herzig & Thomas Bischoff & Alejandra Casillas & Thomas Golano & Paul Vaucher, 2014. "Screening Primary-Care Patients Forgoing Health Care for Economic Reasons," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.
    4. Olga Komorowska & Arkadiusz Kozłowski & Teresa Słaby, 2019. "Comparative Analysis Of Poverty In Families With A Disabled Child And Families With Non-Disabled Children In Poland In The Years 2014 And 2016," Statistics in Transition New Series, Polish Statistical Association, vol. 20(3), pages 97-117, September.
    5. Komatsu,Hitomi & Ambel,Alemayehu A. & Koolwal,Gayatri B. & Yonis,Manex Bule, 2021. "Gender and Tax Incidence of Rural Land Use Fee and Agricultural Income Tax in Ethiopia," Policy Research Working Paper Series 9715, The World Bank.
    6. Jing Ma & Liangwei Yang & Zhineng Hu, 2022. "A Counterfactual Assessment of Poverty Alleviation Sustainability on Multiple Non-equivalent Household Groups," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(5), pages 1975-2000, October.
    7. IVASKAITE-TAMOSIUNE Viginta & THIEMANN Andreas, 2021. "The budgetary and redistributive impact of pension taxation in the EU: A microsimulation analysis," JRC Working Papers on Taxation & Structural Reforms 2021-08, Joint Research Centre.
    8. Tarra L. Penney & Thomas Burgoine & Pablo Monsivais, 2018. "Relative Density of Away from Home Food Establishments and Food Spend for 24,047 Households in England: A Cross-Sectional Study," IJERPH, MDPI, vol. 15(12), pages 1-13, December.
    9. Rowena Crawford & Cormac O'Dea, 2014. "Cash and Pensions: Have the elderly in England saved optimally for retirement?," IFS Working Papers W14/22, Institute for Fiscal Studies.
    10. Nicholas Oulton, 2022. "The Link Between the Standard of Living and Labour Productivity in the UK: A Decomposition," International Productivity Monitor, Centre for the Study of Living Standards, vol. 42, pages 187-211, Spring.
    11. Rowena Crawford & Cormac O'Dea, 2020. "Household portfolios and financial preparedness for retirement," Quantitative Economics, Econometric Society, vol. 11(2), pages 637-670, May.
    12. Komorowska Olga & Kozłowski Arkadiusz & Słaby Teresa, 2019. "Comparative Analysis Of Poverty In Families With A Disabled Child And Families With Non-Disabled Children In Poland In The Years 2014 And 2016," Statistics in Transition New Series, Polish Statistical Association, vol. 20(3), pages 97-117, September.
    13. Schulte, Isabella & Heindl, Peter, 2017. "Price and income elasticities of residential energy demand in Germany," Energy Policy, Elsevier, vol. 102(C), pages 512-528.
    14. Jarass, Julia & Scheiner, Joachim, 2018. "Residential self-selection and travel mode use in a new inner-city development neighbourhood in Berlin," Journal of Transport Geography, Elsevier, vol. 70(C), pages 68-77.
    15. Paula A. Calvo & Ilse Lindenlaub & Ana Reynoso, 2021. "Marriage Market and Labor Market Sorting," NBER Working Papers 28883, National Bureau of Economic Research, Inc.
    16. Gregorio Izquierdo Llanes & Antonio Salcedo Galiano, 2023. "Why does equivalization matter? An application to the monetary poverty in the sustainable development goals framework," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2575-2589, June.
    17. Tjiong, Jeff & Dekker, Thijs & Hess, Stephane & Ojeda Cabral, Manuel, 2022. "The selection of income measures in value of travel time models and their implications for the VTT, its cross-sectional income elasticity and transport appraisal," Research in Transportation Economics, Elsevier, vol. 94(C).

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