IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v63y2017icp161-174.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999316302486
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Martin Browning & Annamaria Lusardi, 1996. "Household Saving: Micro Theories and Micro Facts," Journal of Economic Literature, American Economic Association, vol. 34(4), pages 1797-1855, December.
    2. Creedy, John & Gemmell, Norman & Scobie, Grant, 2015. "Pensions, savings and housing: A life-cycle framework with policy simulations," Economic Modelling, Elsevier, vol. 46(C), pages 346-357.
    3. repec:nsr:niesrd:385 is not listed on IDEAS
    4. Jesus Fernández-Villaverde & Dirk Krueger, 2007. "Consumption over the Life Cycle: Facts from Consumer Expenditure Survey Data," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 552-565, August.
    5. James Sefton & Justin vandeVen, 2009. "Optimal Design of Means Tested Retirement Benefits," Economic Journal, Royal Economic Society, vol. 119(541), pages 461-481, November.
    6. repec:nsr:niesrd:355 is not listed on IDEAS
    7. James Sefton & Justin van de Ven, 2004. "Simulating Household Savings and Labour Supply: an Application of Dynamic Programming," National Institute Economic Review, National Institute of Economic and Social Research, vol. 188(1), pages 56-72, April.
    8. Cathal ODonoghue & Howard Redway & John Lennon, 2010. "Simulating Migration In The Pensim2 Dynamic Microsimulation Model," International Journal of Microsimulation, International Microsimulation Association, vol. 3(2), pages 65-79.
    9. Matteo Richiardi & Ross E. Richardson, 2017. "JAS-mine: A new platform for microsimulation and agent-based modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 106-134.
    10. Yingxu Kuang & Ted Englebrecht & Otis W. Gilley, 2011. "A Distributional Analysis of the FairTax Plan: Annual and Lifetime Income Considerations," Southern Economic Journal, Southern Economic Association, vol. 78(2), pages 358-381, October.
    11. Pierre-Olivier Gourinchas & Jonathan A. Parker, 2002. "Consumption Over the Life Cycle," Econometrica, Econometric Society, vol. 70(1), pages 47-89, January.
    12. Aydilek, Asiye, 2013. "Habit formation and housing over the life cycle," Economic Modelling, Elsevier, vol. 33(C), pages 858-866.
    13. van de Ven, Justin, 2011. "A structural dynamic microsimulation model of household savings and labour supply," Economic Modelling, Elsevier, vol. 28(4), pages 2054-2070, July.
    14. Angus Armstrong & Justin Van de Ven, 2016. "The Impact of Possible Migration Scenarios after ‘Brexit’ on the State Pension System," Economies, MDPI, Open Access Journal, vol. 4(4), pages 1-13, October.
    15. Dr Justin van de Ven & Dr Martin Weale, 2010. "An Empirical Investigation of Quasi-hyperbolic Discounting," National Institute of Economic and Social Research (NIESR) Discussion Papers 355, National Institute of Economic and Social Research.
    16. Diamond, Peter & Koszegi, Botond, 2003. "Quasi-hyperbolic discounting and retirement," Journal of Public Economics, Elsevier, vol. 87(9-10), pages 1839-1872, September.
    17. James Sefton & Justin vandeVen & Martin Weale, 2008. "Means Testing Retirement Benefits: fostering equity or discouraging savings?," Economic Journal, Royal Economic Society, vol. 118(528), pages 556-590, April.
    18. Callan, Tim & van de Ven, Justin & Keane, Claire & O'Connell, Philip J., 2012. "A Framework for Pension Policy Analysis in Ireland: PENMOD, a Dynamic Simulation Model," Book Chapters, in: Callan, Tim (ed.),Analysing Pensions: Modelling and Policy Issues, pages 43-101, Economic and Social Research Institute (ESRI).
    19. Gustman, Alan L. & Steinmeier, Thomas L., 2005. "The social security early entitlement age in a structural model of retirement and wealth," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 441-463, February.
    20. repec:nsr:niesrd:332 is not listed on IDEAS
    21. Gabriel D. Carroll & James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2009. "Optimal Defaults and Active Decisions," The Quarterly Journal of Economics, Oxford University Press, vol. 124(4), pages 1639-1674.
    22. van Sonsbeek, Jan-Maarten & Alblas, Ridwan, 2012. "Disability benefit microsimulation models in the Netherlands," Economic Modelling, Elsevier, vol. 29(3), pages 700-715.
    23. Andreoni, James, 1989. "Giving with Impure Altruism: Applications to Charity and Ricardian Equivalence," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1447-1458, December.
    24. Justin van de Ven, 2016. "LINDA: A dynamic microsimulation model for analysing policy effects on the evolving population cross-section," National Institute of Economic and Social Research (NIESR) Discussion Papers 459, National Institute of Economic and Social Research.
    25. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
    26. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 443-478.
    27. repec:sae:niesru:v:188:y::i:1:p:56-72 is not listed on IDEAS
    28. Tran, Chung, 2016. "Fiscal policy as a temptation control device: Savings subsidy and social security," Economic Modelling, Elsevier, vol. 55(C), pages 254-268.
    29. Sally Edwards, 2010. "Techniques for Managing Changes to Existing Simulation Models," International Journal of Microsimulation, International Microsimulation Association, vol. 3(2), pages 80-89.
    Full references (including those not matched with items on IDEAS)

    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. Justin van de Ven, 2016. "LINDA: A dynamic microsimulation model for analysing policy effects on the evolving population cross-section," National Institute of Economic and Social Research (NIESR) Discussion Papers 459, National Institute of Economic and Social Research.
    2. Justin van de Ven & Paolo Lucchino, 2013. "Modelling the Dynamic Effects of Transfer Policy: The LINDA Policy Analysis Tool," Melbourne Institute Working Paper Series wp2013n20, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    3. van de Ven, Justin, 2011. "A structural dynamic microsimulation model of household savings and labour supply," Economic Modelling, Elsevier, vol. 28(4), pages 2054-2070, July.
    4. Dr Justin van de Ven & Dr Martin Weale, 2010. "An Empirical Investigation of Quasi-hyperbolic Discounting," National Institute of Economic and Social Research (NIESR) Discussion Papers 355, National Institute of Economic and Social Research.
    5. Paolo Lucchino & Dr Justin van de Ven, 2013. "Empirical Analysis of Household Savings Decisions in Context of Uncertainty: A cross-sectional approach," National Institute of Economic and Social Research (NIESR) Discussion Papers 406, National Institute of Economic and Social Research.
    6. Justin W. van de Ven, 2017. "Parameterising a detailed dynamic programming model of savings and labour supply using cross-sectional data," International Journal of Microsimulation, International Microsimulation Association, vol. 10(1), pages 135-166.
    7. Justin van de Ven, 2017. "Exploring the Importance of Incentive Responses for Policy Projections," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 134-164.
    8. Justin Van de Ven, 2009. "A Simulation Analysis of the Effects of the Socio-economic Environment on Fertility and Female Labour Supply Decisions in the United Kingdom," National Institute of Economic and Social Research (NIESR) Discussion Papers 324, National Institute of Economic and Social Research.
    9. repec:ijm:journl:v109:y:2017:i:1:p:135-166 is not listed on IDEAS
    10. Aydilek, Asiye, 2016. "The allocation of time and puzzling profiles of the elderly," Economic Modelling, Elsevier, vol. 53(C), pages 515-526.
    11. Caliendo, Frank & Aadland, David, 2007. "Short-term planning and the life-cycle consumption puzzle," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1392-1415, April.
    12. Frank van Erp & Niels Vermeer & Daniel van Vuuren, 2013. "Non-financial determinants of retirement," CPB Discussion Paper 243.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    13. Groneck, Max & Ludwig, Alexander & Zimper, Alexander, 2016. "A life-cycle model with ambiguous survival beliefs," Journal of Economic Theory, Elsevier, vol. 162(C), pages 137-180.
    14. Wigniolle, Bertrand, 2013. "Fertility in the absence of self-control," Mathematical Social Sciences, Elsevier, vol. 66(1), pages 71-86.
    15. Andrea Repetto, 2001. "Incentivos al ahorro personal: Lecciones de la economía del comportamiento," Central Banking, Analysis, and Economic Policies Book Series, in: Felipe Morandé & Rodrigo Vergara & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Edit (ed.),Análisis Empírico del Ahorro en Chile, edition 1, volume 1, chapter 7, pages 191-240, Central Bank of Chile.
    16. Gary V. Engelhardt & Anil Kumar, 2007. "Employer Matching and 401(k) Saving: Evidence from the Health and Retirement Study," NBER Chapters, in: Public Policy and Retirement, Trans-Atlantic Public Economics Seminar (TAPES), pages 1920-1943, National Bureau of Economic Research, Inc.
    17. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    18. James Alm & Carolyn J. Bourdeaux, 2013. "Applying Behavioral Economics to the Public Sector," Hacienda Pública Española / Review of Public Economics, IEF, vol. 206(3), pages 91-134, September.
    19. Kuchler, Theresa & Pagel, Michaela, 2021. "Sticking to your plan: The role of present bias for credit card paydown," Journal of Financial Economics, Elsevier, vol. 139(2), pages 359-388.
    20. Nakajima, Makoto, 2017. "Assessing bankruptcy reform in a model with temptation and equilibrium default," Journal of Public Economics, Elsevier, vol. 145(C), pages 42-64.
    21. Andrea Butelmann & Francisco Gallego, 2001. "Estimaciones de los determinantes del ahorro coluntario de los hogares en Chile (1988-1997)," Central Banking, Analysis, and Economic Policies Book Series, in: Felipe Morandé & Rodrigo Vergara & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Edit (ed.),Análisis Empírico del Ahorro en Chile, edition 1, volume 1, chapter 6, pages 141-190, Central Bank of Chile.

    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:ecmode:v:63:y:2017:i:c:p:161-174. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nithya Sathishkumar). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.