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SIDD: An adaptable framework for analysing the distributional implications of policy alternatives where savings and employment decisions matter

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  • van de Ven, Justin

Abstract

The Simulator of Individual Dynamic Decisions, SIDD, is publicly available software for analysing the distributional effects of policy alternatives. SIDD is a framework, rather than a model, in the sense that it is designed to facilitate adaptation to alternative country and policy contexts. The microsimulation framework can generate panel data describing a wide range of characteristics at annual intervals for each adult in an evolving population cross-section. Structural methods are employed to project savings and employment decisions, making SIDD a suitable tool for exploring the incentive effects of policy alternatives, and how these vary across the population and over time. The framework is also a valuable test-bed for empirical analyses of alternative behavioural assumptions, especially those concerning preferences for risk. In an effort to support good policy design and empirical analysis of savings and labour supply behaviour, SIDD has been made free for download from www.simdynamics.org.

Suggested Citation

  • van de Ven, Justin, 2017. "SIDD: An adaptable framework for analysing the distributional implications of policy alternatives where savings and employment decisions matter," Economic Modelling, Elsevier, vol. 63(C), pages 161-174.
    • Handle: RePEc:eee:ecmode:v:63:y:2017:i:c:p:161-174
    DOI: 10.1016/j.econmod.2017.02.007
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    Cited by:

    1. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin & Kopasker, Daniel & Vittal Katikireddi, Srinivasa, 2023. "SimPaths: an open-source microsimulation model for life course analysis," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA6/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    2. Bhattacharjee, Arnab & Lisauskaite, Elena & Pabst, Adrian & Tzendrei, Tibor, 2021. "UK Regional Outlook," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 3, pages 37-50.
    3. Cyrille Lenoel & Young, Garry, 2021. "UK sectoral output," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 1, pages 21-23.
    4. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin, 2022. "Dynamic simulation of taxes and welfare benefits by database imputation," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA3/22, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    5. Richiardi, Matteo & He, Zhechun, 2020. "Measuring economic insecurity: a simulation approach," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA2/20, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    6. Chadha, Jagjit S., 2021. "Foreward," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 1, pages 1-3.
    7. Gemma Abio & Ció Patxot & Alexandrina Stoyanova & Raquel Andrés & Guadalupe Souto, 2022. "Lifecycle consumption and household structure: A pseudo-panel approach," UB School of Economics Working Papers 2022/436, University of Barcelona School of Economics.
    8. Niesr, 2021. "Appendix," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 1, pages 34-42.
    9. Kucuk, Hande & Lenoel, Cyrille & MacQueen, Rory, 2021. "Brexit Britain in Covid recovery ward," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 1, pages 5-20.
    10. Niesr, 2021. "Overview," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 1, pages 1-4.

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