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Modelling Behavioural Response in EUROMOD

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  • Klevmarken, N. A.

Abstract

The EUROMOD Preparatory Project examined a number of aspects of the technical feasibility of constructing a Europe-wide tax-benefit model. This paper reports on the issues relating to incorporating behavioural response into the model. It explores the problems and prospects of modelling changes in behaviour within the static microsimulation approach, using cross-sectional data. In the case of labour supply it concludes that not only are there problems related to the timing of responses using the static approach, but also a lack of comparable studies (or data) across all 15 countries. A dynamic approach using panel data has more potential and should be explored for a small group of countries. In the case of consumer demand, behavioural adjustment can be assumed to be quick and there is some potential for including demand responses in EUROMOD

Suggested Citation

  • Klevmarken, N. A., 1997. "Modelling Behavioural Response in EUROMOD," Cambridge Working Papers in Economics 9720, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:9720
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    Cited by:

    1. John Creedy & Guyonne Kalb, 2005. "Behavioural Microsimulation Modelling With the Melbourne Institute Tax and Transfer Simulator(MITTS) : Uses and Extensions," Department of Economics - Working Papers Series 932, The University of Melbourne.
    2. O'Donoghue, Cathal & Immervoll, Herwig, 2001. "Towards a multi purpose framework for tax benefit microsimulation," EUROMOD Working Papers EM2/01, EUROMOD at the Institute for Social and Economic Research.
    3. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
    4. John Creedy & Guyonne Kalb, 2005. "Behavioural Microsimulation Modelling for Tax Policy Analysis in Australia: Experience and Prospects," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 8(1), pages 73-110, March.
    5. Rolf Aaberge & Ugo Colombino, 2014. "Labour Supply Models," Contributions to Economic Analysis, in: Handbook of Microsimulation Modelling, volume 127, pages 167-221, Emerald Group Publishing Limited.
    6. François Bourguignon & Amedeo Spadaro, 2006. "Microsimulation as a tool for evaluating redistribution policies," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(1), pages 77-106, April.
    7. Li, Jinjing & O'Donoghue, Cathal, 2012. "A methodological survey of dynamic microsimulation models," MERIT Working Papers 2012-002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Guyonne Kalb, 2010. "Modelling Labour Supply Responses in Australia and New Zealand," Chapters, in: Iris Claus & Norman Gemmell & Michelle Harding & David White (ed.), Tax Reform in Open Economies, chapter 8, Edward Elgar Publishing.
    9. Cathal O'Donoghue & Karyn Morrissey & John Lennon, 2014. "Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 26-75.

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