IDEAS home Printed from https://ideas.repec.org/a/cup/nierev/v244y2018ipr1-r14_9.html
   My bibliography  Save this article

Using NiGEM in uncertain times: Introduction and overview of NiGEM

Author

Listed:
  • Hantzsche, Arno
  • Lopresto, Marta
  • Young, Garry

Abstract

This paper introduces a special issue of the Review on how the National Institute Global Econometric Model (NiGEM) is being used to navigate uncertain times. NiGEM is the leading global macroeconomic model, used by both policy-makers and the private sector across the globe for economic forecasting, scenario building and stress testing. The paper summarises the main features of NiGEM and describes some standard model simulations to illustrate how the model responds to monetary, fiscal and technology shocks.

Suggested Citation

  • Hantzsche, Arno & Lopresto, Marta & Young, Garry, 2018. "Using NiGEM in uncertain times: Introduction and overview of NiGEM," National Institute Economic Review, National Institute of Economic and Social Research, vol. 244, pages 1-14, May.
  • Handle: RePEc:cup:nierev:v:244:y:2018:i::p:r1-r14_9
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0027950100001885/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Holland, Dawn & te Velde, Dirk Willem, 2022. "The Macro-Economic Effects of UK Aid Returning to 0.7 per cent of GNI," National Institute of Economic and Social Research (NIESR) Discussion Papers 535, National Institute of Economic and Social Research.
    2. Ángel Estrada & Daniel Santabárbara, 2021. "Recycling carbon tax revenues in Spain. Environmental and economic assessment of selected green reforms," Working Papers 2119, Banco de España.
    3. Stéphane Dees & Annabelle De Gaye & Camille Thubin & Oriane Wegner, 2023. "The transition to carbon neutrality: effects on price stability [Transition vers la neutralité carbone : quels effets sur la stabilité des prix ?]," Bulletin de la Banque de France, Banque de France, issue 245.
    4. Cyrille Lenoel & Garry Young, 2021. "Modelling the impact of Covid-19 on the UK economy: an application of a disaggregated New-Keynesian model," National Institute of Economic and Social Research (NIESR) Discussion Papers 531, National Institute of Economic and Social Research.
    5. Cyrille Lenoël & Corrado Macchiarelli & Garry Young, 2023. "Greece 2010–18: What Could Have Been Done Differently?," Open Economies Review, Springer, vol. 34(2), pages 281-315, April.
    6. Brand, Claus & Coenen, Günter & Hutchinson, John & Saint Guilhem, Arthur, 2023. "The macroeconomic implications of the transition to a low-carbon economy," Economic Bulletin Articles, European Central Bank, vol. 5.
    7. Vafa Anvari & Channing Arndt & Faaiqa Hartley & Konstantin Makrelov & Kenneth Strezepek & Tim Thomas & Sherwin Gabriel & Bruno Merven, 2022. "AclimatechangemodellingframeworkforfinancialstresstestinginSouthernAfrica," Working Papers 11030, South African Reserve Bank.
    8. Martin Motl & Jaromir Tonner, 2021. "Modelling the impacts of climate change on the global economy: Stagflationary shock looming," Occasional Publications - Chapters in Edited Volumes, in: CNB Global Economic Outlook - September 2021, pages 13-22, Czech National Bank.
    9. Jack Fosten & Shaoni Nandi, 2023. "Nowcasting from cross‐sectionally dependent panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 898-919, September.
    10. Thomas Theobald & Rudolf Zwiener & Camille Logeay, 2020. "Wie hängen Lohnhöhe und Beschäftigung zusammen? [Wage Levels and Employment — On Economic Policy Advice Using the Multi-Country Model NiGEM]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 100(10), pages 803-810, October.
    11. Ciccarelli, Matteo & Darracq Pariès, Matthieu & Priftis, Romanos & Angelini, Elena & Bańbura, Marta & Bokan, Nikola & Fagan, Gabriel & Gumiel, José Emilio & Kornprobst, Antoine & Lalik, Magdalena & Mo, 2024. "ECB macroeconometric models for forecasting and policy analysis," Occasional Paper Series 344, European Central Bank.
    12. Clements, Kenneth & Mariano, Marc Jim & Verikios, George, 2022. "Expenditure patterns, heterogeneity, and long-term structural change," Economic Modelling, Elsevier, vol. 113(C).
    13. Thomas Allen & Stéphane Dees & Jean Boissinot & Carlos Mateo Caicedo Graciano & Valérie Chouard & Laurent Clerc & Annabelle de Gaye & Antoine Devulder & Sébastien Diot & Noémie Lisack & Fulvio Pegorar, 2020. "Climate-Related Scenarios for Financial Stability Assessment: an Application to France," Working papers 774, Banque de France.
    14. Iana Liadze & Corrado Macchiarelli & Paul Mortimer‐Lee & Patricia Sanchez Juanino, 2023. "Economic costs of the Russia‐Ukraine war," The World Economy, Wiley Blackwell, vol. 46(4), pages 874-886, April.
    15. Frantisek Brazdik & Tibor Hledik & Zuzana Humplova & Iva Martonosi & Karel Musil & Jakub Rysanek & Tomas Sestorad & Jaromir Tonner & Stanislav Tvrz & Jan Zacek, 2020. "The g3+ Model: An Upgrade of the Czech National Bank's Core Forecasting Framework," Working Papers 2020/7, Czech National Bank.
    16. Thomas Allen & Mathieu Boullot & Stéphane Dées & Annabelle de Gaye & Noëmie Lisack & Camille Thubin & Oriane Wegner, 2023. "Using Short-Term Scenarios to Assess the Macroeconomic Impacts of Climate Transition," Working papers 922, Banque de France.

    More about this item

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

    Statistics

    Access and download statistics

    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:cup:nierev:v:244:y:2018:i::p:r1-r14_9. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://edirc.repec.org/data/niesruk.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.