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Documentation IZA?MOD: The IZA Policy SImulation MODel

Author

Listed:
  • Peichl, Andreas

    (Ludwig-Maximilians-Universität München)

  • Schneider, Hilmar

    (University of Luxembourg)

  • Siegloch, Sebastian

    (University of Cologne)

Abstract

This paper describes IZA?MOD, the policy microsimulation model of the Institute for the Study of Labor (IZA). The model uses household microdata from the German Socio-Economic Panel Study and firm data from the German linked employer-employee dataset LIAB. IZA?MOD consists of three components: First, a static module simulates the effects of a tax reform on the budget of the individual households. Secondly, behavioral labor supply responses are estimated. The third component distinguishes our model from most other microsimulation tools. A demand module takes into account possible restrictions of labor demand and identifies the partial equilibrium of the labor market after the supply reactions.

Suggested Citation

  • Peichl, Andreas & Schneider, Hilmar & Siegloch, Sebastian, 2010. "Documentation IZA?MOD: The IZA Policy SImulation MODel," IZA Discussion Papers 4865, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp4865
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Judith Niehues & Andreas Peichl, 2011. "Lower and Upper Bounds of Unfair Inequality: Theory and Evidence for Germany and the US," SOEPpapers on Multidisciplinary Panel Data Research 395, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Löffler, Max & Peichl, Andreas & Siegloch, Sebastian, 2013. "Validating Structural Labor Supply Models," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79819, Verein für Socialpolitik / German Economic Association.
    3. Nicole Bosch & Miriam Gielen & Egbert Jongen & Mauro Mastrogiacomo (DNB & voorheen CPB), 2013. "A structural analysis of labour supply elasticities in the Netherlands," CPB Discussion Paper 235, CPB Netherlands Bureau for Economic Policy Analysis.
    4. Peichl, Andreas & Siegloch, Sebastian, 2012. "Accounting for labor demand effects in structural labor supply models," Labour Economics, Elsevier, vol. 19(1), pages 129-138.
    5. Bechara, Peggy & Kasten, Tanja & Schaffner, Sandra, 2015. "Dokumentation des RWI-Einkommensteuer-Mikrosimulationsmodells (EMSIM)," RWI Materialien 86, RWI - Leibniz-Institut für Wirtschaftsforschung.
    6. Nico Pestel & Eric Sommer, 2013. "Shifting Taxes from Labor to Consumption: Efficient, but Regressive?," SOEPpapers on Multidisciplinary Panel Data Research 624, DIW Berlin, The German Socio-Economic Panel (SOEP).
    7. 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.
    8. Müller, Kai-Uwe, 2014. "Analyzing economic policies that affect supply and demand: a structural model of productivity, labor supply and rationing," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100471, Verein für Socialpolitik / German Economic Association.
    9. repec:esr:wpaper:bp2016/1 is not listed on IDEAS
    10. Tibor Paul Hanappi & Sandra Müllbacher, 2016. "Tax incentives and family labor supply in Austria," Review of Economics of the Household, Springer, vol. 14(4), pages 961-987, December.
    11. Andreas Peichl & Nico Pestel & Hilmar Schneider & Sebastian Siegloch, 2011. "Reform der Hartz IV‐Hinzuverdienstregelungen: Ein verfehlter Ansatz," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 12(1), pages 12-26, February.
    12. Judith Niehues & Andreas Peichl, 2012. "Bounds of Unfair Inequality of Opportunity: Theory and Evidence for Germany and the US," CESifo Working Paper Series 3815, CESifo.
    13. 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).
    14. Buhlmann, Florian & Hebsaker, Michael & Kreuz, Tobias & Schmidhäuser, Jakob & Siegloch, Sebastian & Stichnoth, Holger, 2022. "ZEW-EviSTA: A microsimulation model of the German tax and transfer system," ZEW Discussion Papers 22-026, ZEW - Leibniz Centre for European Economic Research.
    15. Loeffler, Max & Peichl, Andreas & Pestel, Nico & Siegloch, Sebastian & Sommer, Eric, 2014. "Documentation IZA?MOD v3.0: The IZA Policy Simulation Model," IZA Discussion Papers 8553, Institute of Labor Economics (IZA).
    16. Olivier Bargain & Herwig Immervoll & Andreas Peichl & Sebastian Siegloch, 2011. "Distributional Consequences of Labor-demand Shocks: The 2008-09 Recession in Germany," CESifo Working Paper Series 3403, CESifo.
    17. Jan Pablo Burgard & Joscha Krause & Simon Schmaus, 2019. "Estimation of Regional Transition Probabilities for Spatial Dynamic Microsimulations from Survey Data Lacking in Regional Detail," Research Papers in Economics 2019-12, University of Trier, Department of Economics.
    18. Islam, Nizamul & Flood, Lennart, 2015. "A Tax Benefit Model for Policy Evaluation in Luxembourg: LuxTaxBen," IZA Discussion Papers 9152, Institute of Labor Economics (IZA).
    19. Olivier Bargain & Herwig Immervoll & Andreas Peichl & Sebastian Siegloch, 2012. "Distributional consequences of labor-demand shocks: the 2008–2009 recession in Germany," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(1), pages 118-138, February.
    20. Bargain, O. & Herwig Immervoll & Andreas Peichl & Siegloch, S., 2010. "GINI DP 1: Distributional Consequences of Labor-Demand Adjustments to a Downturn. A Model-Based Approach with Application to Germany 2008-09," GINI Discussion Papers 1, AIAS, Amsterdam Institute for Advanced Labour Studies.
    21. Tobias Maier & Anke Mönnig & Gerd Zika, 2021. "Folgen der COVID-19-Krise auf die kurz-, mittel- und langfristigen Beschäftigungs- und Entlohnungschancen nach Berufen [Consequences of the COVID-19 crisis on short-, medium- and long-term employme," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 15(2), pages 107-138, June.
    22. Denisa Sologon, 2014. "Book review: New Pathways to Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 7(3), pages 80-86.
    23. Burgard, Jan Pablo & Krause, Joscha & Schmaus, Simon, 2021. "Estimation of regional transition probabilities for spatial dynamic microsimulations from survey data lacking in regional detail," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    24. Niehues, J. (Judith) & Andreas Peichl, 2012. "GINI DP 34: Bounds of Unfair Inequality of Opportunity: Theory and Evidence for Germany and the US," GINI Discussion Papers 34, AIAS, Amsterdam Institute for Advanced Labour Studies.
    25. Boeters, Stefan & Savard, Luc, 2013. "The Labor Market in Computable General Equilibrium Models," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1645-1718, Elsevier.

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    More about this item

    Keywords

    tax and benefit systems; microsimulation; IZAΨMOD; labor demand;
    All these keywords.

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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