IDEAS home Printed from https://ideas.repec.org/p/ese/emodwp/em13-14.html
   My bibliography  Save this paper

Re-weighting EUROMOD for demographic change: an application on Slovenian and Lithuanian data

Author

Listed:
  • Navicke, Jekaterina
  • Kump, NataÅ¡a

Abstract

This paper discusses an application of re-weighting to account for demographic change within a comparative micro-simulation setting. We use the Slovenian and Lithuanian components of the EUROMOD micro-simulation model with data referring to demographic characteristics of the population in 2010 to test the proposed procedures. The data are re-weighted to reflect demographic change up to 2012 and 2020 as indicated in the Eurostat Population Projections (Europop).

Suggested Citation

  • Navicke, Jekaterina & Kump, NataÅ¡a, 2014. "Re-weighting EUROMOD for demographic change: an application on Slovenian and Lithuanian data," EUROMOD Working Papers EM13/14, EUROMOD at the Institute for Social and Economic Research.
    • Handle: RePEc:ese:emodwp:em13-14
    as

    Download full text from publisher

    File URL: https://www.iser.essex.ac.uk/wp-content/uploads/files/working-papers/euromod/em13-14.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lixin Cai & John Creedy & Guyonne Kalb, 2006. "Accounting For Population Ageing In Tax Microsimulation Modelling By Survey Reweighting," Australian Economic Papers, Wiley Blackwell, vol. 45(1), pages 18-37, March.
    2. John Creedy, 2004. "Survey Reweighting For Tax Microsimulation Modelling," Research on Economic Inequality, in: Studies on Economic Well-Being: Essays in the Honor of John P. Formby, pages 229-249, Emerald Group Publishing Limited.
    3. 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.
    4. Jekaterina Navicke & Olga Rastrigina & Holly Sutherland, 2014. "Nowcasting Indicators of Poverty Risk in the European Union: A Microsimulation Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(1), pages 101-119, October.
    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. Leventi, Chrysa & Valentinova Tasseva, Iva & Collado, Diego & Popova, Daria & Xavier Jara Tamayo, Holguer & Gasior, Katrin & Framarin, Nicolo & Manios, Kostas, 2021. "Baseline results from the EU28 EUROMOD: 2017-2020," EUROMOD Working Papers EM1/21, EUROMOD at the Institute for Social and Economic Research.
    2. Tammik, Miko, 2018. "Baseline results from the EU28 EUROMOD: 2014-2017," EUROMOD Working Papers EM5/18, EUROMOD at the Institute for Social and Economic Research.
    3. Tammik, Miko, 2019. "Baseline results from the EU28 EUROMOD: 2015-2018," EUROMOD Working Papers EM6/19, EUROMOD at the Institute for Social and Economic Research.
    4. Leventi, Chrysa & Valentinova Tasseva, Iva & Popova, Daria & Xavier Jara Tamayo, Holguer & Gasior, Katrin & Manios, Kostas & Kneeshaw, Jack & De Agostini, Paola & Chatsiou, Kakia & Paulus, Alari, 2020. "Baseline Results from the EU28 EUROMOD: 2016-2019," EUROMOD Working Papers EM20/20, EUROMOD at the Institute for Social and Economic Research.
    5. O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "The Transformation of Public Policy Analysis in Times of Crisis – A Microsimulation-Nowcasting Method Using Big Data," IZA Discussion Papers 15937, Institute of Labor Economics (IZA).

    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. Michael Christl & Silvia Poli & Tine Hufkens & Andreas Peichl & Mattia Ricci, 2023. "The role of short-time work and discretionary policy measures in mitigating the effects of the COVID-19 crisis in Germany," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1107-1136, August.
    2. Jekaterina Navicke, 2020. "Driving factors behind the changes in income distribution in the Baltics: income, policy, demography," GRAPE Working Papers 44, GRAPE Group for Research in Applied Economics.
    3. Tim Goedemé & Karel Van den Bosch & Lina Salanauskaite & Gerlinde Verbist, 2013. "Testing the Statistical Significance of Microsimulation Results: Often Easier than You Think. A Technical Note," ImPRovE Working Papers 13/10, Herman Deleeck Centre for Social Policy, University of Antwerp.
    4. Chrysa Leventi & Olga Rastrigina & Holly Sutherland, 2016. "The importance of income-tested benefits in good times and bad: lessons from EU countries," ImPRovE Working Papers 16/01, Herman Deleeck Centre for Social Policy, University of Antwerp.
    5. Alari PaulusBy & Francesco Figari & Holly Sutherland, 2017. "The design of fiscal consolidation measures in the European Union: distributional effects and implications for macro-economic recovery," Oxford Economic Papers, Oxford University Press, vol. 69(3), pages 632-654.
    6. Mathias Dolls & Karina Doorley & Alari Paulus & Hilmar Schneider & Sebastian Siegloch & Eric Sommer, 2017. "Fiscal sustainability and demographic change: a micro-approach for 27 EU countries," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(4), pages 575-615, August.
    7. Michal Myck & Mateusz Najsztub, 2015. "Data and Model Cross-validation to Improve Accuracy of Microsimulation Results: Estimates for the Polish Household Budget Survey," International Journal of Microsimulation, International Microsimulation Association, vol. 8(1), pages 33-66.
    8. Mathias Dolls & Clemens Fuest & Dirk Neumann & Andreas Peichl, 2018. "An unemployment insurance scheme for the euro area? A comparison of different alternatives using microdata," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 25(1), pages 273-309, February.
    9. Mathias Dolls & Karina Doorley & Alari Paulus & Hilmar Schneider & Eric Sommer, 2019. "Demographic change and the European income distribution," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(3), pages 337-357, September.
    10. Denisa M. Sologon & Cathal O’Donoghue & Iryna Kyzyma & Jinjing Li & Jules Linden & Raymond Wagener, 2022. "The COVID-19 resilience of a continental welfare regime - nowcasting the distributional impact of the crisis," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 777-809, December.
    11. Manos Matsaganis & Chrysa Leventi, 2014. "Distributive Effects of the Crisis and Austerity in Seven EU Countries," ImPRovE Working Papers 14/04, Herman Deleeck Centre for Social Policy, University of Antwerp.
    12. Petr Janský & Klára Kalíšková & Daniel Münich, 2016. "Does the Czech Tax and Benefit System Contribute to One of Europe’s Lowest Levels of Relative Income Poverty and Inequality?," Eastern European Economics, Taylor & Francis Journals, vol. 54(3), pages 191-207, May.
    13. Jekaterina Navicke & Olga Rastrigina & Holly Sutherland, 2014. "Nowcasting Indicators of Poverty Risk in the European Union: A Microsimulation Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(1), pages 101-119, October.
    14. Figari, Francesco & Hollan, Katarina & Matsaganis, Manos & Zolyomi, Eszter, 2019. "Recent changes in housing policies and their distributional impact across Europe," EUROMOD Working Papers EM12/19, EUROMOD at the Institute for Social and Economic Research.
    15. Piketty, Thomas & Bozio, Antoine & Garbinti, Bertrand & Goupille-Lebret, Jonathan & Guillot, Malka, 2020. "Predistribution vs. Redistribution: Evidence from France and the U.S," CEPR Discussion Papers 15415, C.E.P.R. Discussion Papers.
    16. Fiorio, Carlo & Bazzoli, Martina & De Poli, Silvia & Azzolini, Davide & Poy, Samuele, 2014. "TREMOD: a microsimulation model for the Province of Trento (Italy)," EUROMOD Working Papers EM15/14, EUROMOD at the Institute for Social and Economic Research.
    17. , Euromod, 2019. "Effects of tax-benefit policy changes across the income distributions of the EU-28 countries: 2017-2018," EUROMOD Working Papers EM7/19, EUROMOD at the Institute for Social and Economic Research.
    18. Robert D Osei & Jukka Pirttilä & Pia Rattenhuber, 2019. "Quantifying the Impacts of Expanding Social Protection on Efficiency and Equity: Evidence from a Behavioral Microsimulation Model for Ghana," International Journal of Microsimulation, International Microsimulation Association, vol. 12(1), pages 105-123.
    19. 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.
    20. Islam, Nizamul & Colombino, Ugo, 2018. "The case for NIT+FT in Europe. An empirical optimal taxation exercise," Economic Modelling, Elsevier, vol. 75(C), pages 38-69.

    More about this item

    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:ese:emodwp:em13-14. 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: Jonathan Nears (email available below). General contact details of provider: https://edirc.repec.org/data/rcessuk.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.