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Parameterising the LINDA microsimulation model of benefit unit savings and labour supply

Author

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  • Justin Van de Ven
Abstract
This paper describes how the parameters of the Lifetime Income Distributional Analysis (LINDA) microsimulation model were defined to reflect survey data for the UK. LINDA is a dynamic programming model of savings and labour supply decisions that has been developed for use by UK policy makers. The model is adapted to project the circumstances of the evolving population cross-section forward through time. This feature of the model, which distinguishes it from much of the related literature, adapts the model for identifying all of the assumed preference parameters on data for a single population cross-section.

Suggested Citation

  • Justin Van de Ven, 2016. "Parameterising the LINDA microsimulation model of benefit unit savings and labour supply," National Institute of Economic and Social Research (NIESR) Discussion Papers 464, National Institute of Economic and Social Research.
  • Handle: RePEc:nsr:niesrd:464
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    References listed on IDEAS

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    1. Orazio Attanasio & Hamish Low & Virginia Sánchez-Marcos, 2008. "Explaining Changes in Female Labor Supply in a Life-Cycle Model," American Economic Review, American Economic Association, vol. 98(4), pages 1517-1552, September.
    2. Jerome Adda & Russell W. Cooper, 2003. "Dynamic Economics: Quantitative Methods and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012014, April.
    3. David Laibson & Andrea Repetto & Jeremy Tobacman, 2005. "Estimating Discount Functions with Consumption Choices over the Lifecycle," Levine's Bibliography 784828000000000643, UCLA Department of Economics.
    4. Gallant, A. Ronald & Tauchen, George, 1996. "Which Moments to Match?," Econometric Theory, Cambridge University Press, vol. 12(4), pages 657-681, October.
    5. Havranek, Tomas & Horvath, Roman & Irsova, Zuzana & Rusnak, Marek, 2015. "Cross-country heterogeneity in intertemporal substitution," Journal of International Economics, Elsevier, vol. 96(1), pages 100-118.
    6. Hall, Robert E, 1988. "Intertemporal Substitution in Consumption," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 339-357, April.
    7. Nelissen, Jan H. M., 1998. "Annual versus lifetime income redistribution by social security," Journal of Public Economics, Elsevier, vol. 68(2), pages 223-249, May.
    8. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, September.
    9. Engelhardt, Gary V. & Kumar, Anil, 2009. "The elasticity of intertemporal substitution: New evidence from 401(k) participation," Economics Letters, Elsevier, vol. 103(1), pages 15-17, April.
    10. 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.
    11. Orazio Attanasio & Renata Bottazzi & Hamish Low & Lars Nesheim & Matthew Wakefield, 2012. "Modelling the Demand for Housing over the Lifecycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(1), pages 1-18, January.
    12. 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.
    13. Hansen, Lars Peter & Singleton, Kenneth J, 1983. "Stochastic Consumption, Risk Aversion, and the Temporal Behavior of Asset Returns," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 249-265, April.
    14. 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.
    15. 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.
    16. 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.
    17. N. Gregory Mankiw & Julio J. Rotemberg & Lawrence H. Summers, 1985. "Intertemporal Substitution in Macroeconomics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(1), pages 225-251.
    18. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 537-579.
    19. Feigenbaum, James, 2008. "Information shocks and precautionary saving," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3917-3938, December.
    20. Orazio Attanasio & Hamish Low & Virginia Sánchez-Marcos, 2005. "Female Labor Supply As Insurance Against Idiosyncratic Risk," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 755-764, 04/05.
    21. Karen E. Dynan, 1993. "How prudent are consumers?," Working Paper Series / Economic Activity Section 135, Board of Governors of the Federal Reserve System (U.S.).
    22. Dynan, Karen E, 1993. "How Prudent Are Consumers?," Journal of Political Economy, University of Chicago Press, vol. 101(6), pages 1104-1113, December.
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    Cited by:

    1. Angus Armstrong & Justin Van de Ven, 2016. "The Impact of Possible Migration Scenarios after ‘Brexit’ on the State Pension System," Economies, MDPI, vol. 4(4), pages 1-13, October.

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    More about this item

    Keywords

    Dynamic Programming; Savings; Labor Supply; empirical identifcation;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household

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