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NiReMS: A Regional Model at Household Level Combining Spatial Econometrics with Dynamic Microsimulation

Author

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  • Arnab Bhattacharjee
  • Adrian Pabst
  • Tibor Szendrei
  • Geoffrey J. D. Hewings

Abstract

The heterogeneous spatial and individual impacts of the Great Recession, Brexit and Covid-19 have generated an important challenge for macroeconomic and regional/spatial modellers to consider greater integration of their approaches. Focusing on agent heterogeneity at the NUTS-1 level, we propose NiReMS – a synthesis of dynamic microsimulation with a spatial regional macroeconometric model. The model gives regional macro projections while allowing for household level inference. To showcase the model, we explore the impact of terminating enhanced Universal Credit (UC) early and show that it led to more households consuming less. Importantly, the proposed framework shows that the impact is not equal across the regions of the UK: low asset households in the North East, Wales, and Northern Ireland were hit particularly hard.

Suggested Citation

  • Arnab Bhattacharjee & Adrian Pabst & Tibor Szendrei & Geoffrey J. D. Hewings, 2023. "NiReMS: A Regional Model at Household Level Combining Spatial Econometrics with Dynamic Microsimulation," National Institute of Economic and Social Research (NIESR) Discussion Papers 547, National Institute of Economic and Social Research.
    • Handle: RePEc:nsr:niesrd:547
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    References listed on IDEAS

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    1. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Thomas J. Sargent & Mark W. Watson, 2007. "ABCs (and Ds) of Understanding VARs," American Economic Review, American Economic Association, vol. 97(3), pages 1021-1026, June.
    2. 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.
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    4. Bhattacharjee, Arnab & Jensen-Butler, Chris, 2013. "Estimation of the spatial weights matrix under structural constraints," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 617-634.
    5. Edouard Challe, 2020. "Uninsured Unemployment Risk and Optimal Monetary Policy in a Zero-Liquidity Economy," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(2), pages 241-283, April.
    6. Arnab Bhattacharjee & Sean Holly, 2013. "Understanding Interactions in Social Networks and Committees," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(1), pages 23-53, March.
    7. Kieran P. Donaghy, 2021. "Implications for Regional Science of the “Rebuilding Macroeconomic Theory Projectâ€," International Regional Science Review, , vol. 44(3-4), pages 363-384, May.
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    Cited by:

    1. Bhattacharjee, Arnab & Pabst, Adrian & Robyn Smith & Szendrei, Tibor, 2024. "Outlook for UK Households, the Devolved Nations and the English Regions," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 14, pages 48-75.

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    More about this item

    Keywords

    Microsimulation; Heterogenous Agents; Universal Credit; Spatial econometrics; Structural macroeconomic models;
    All these keywords.

    JEL classification:

    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D6 - Microeconomics - - Welfare Economics
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes

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