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Modelling and Estimating Large Macroeconomic Shocks During the Pandemic

Author

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  • Luisa Corrado
  • Stefano Grassi
  • Aldo Paolillo
Abstract
This paper proposes and estimates a new Two-Sector One-Agent model that features large shocks. The resulting medium-scale New Keynesian model includes the standard real and nominal frictions used in the empirical literature and allows for heterogeneous COVID-19 pandemic exposure across sectors. We solve the model nonlinearly and we propose a new nonlinear, non-Gaussian filter designed to handle large pandemic shocks to make inference feasible. Monte Carlo experiments show that it correctly identifies the source and time location of shocks with a massively reduced running time, making the estimation of macro-models with disaster shocks feasible. The estimation is carried out using the Sequential Monte Carlo sampler recently proposed by Herbst and Schorfheide (2014). Our empirical results show that the pandemic-induced economic downturn can be reconciled with a combination of large demand and supply shocks. More precisely, starting from the second quarter of 2020, the model detects the occurrence of a large negative demand shock in consuming all kinds of goods, together with a large negative demand shock in consuming contact-intensive products. On the supply side, our proposed method detects a large labor supply shock to the general sector and a large labor productivity shock in the pandemic-sensitive sector.

Suggested Citation

  • Luisa Corrado & Stefano Grassi & Aldo Paolillo, 2021. "Modelling and Estimating Large Macroeconomic Shocks During the Pandemic," National Institute of Economic and Social Research (NIESR) Discussion Papers 530, National Institute of Economic and Social Research.
    • Handle: RePEc:nsr:niesrd:530
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    References listed on IDEAS

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    Cited by:

    1. Cardani, Roberta & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2023. "The COVID-19 recession on both sides of the Atlantic: A model-based comparison," European Economic Review, Elsevier, vol. 158(C).
    2. Melina, Giovanni & Villa, Stefania, 2023. "Drivers of large recessions and monetary policy responses," Journal of International Money and Finance, Elsevier, vol. 137(C).
    3. Cardani, Roberta & Croitorov, Olga & Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2021. "The Euro Area's pandemic recession: A DSGE interpretation," JRC Working Papers in Economics and Finance 2021-10, Joint Research Centre, European Commission.
    4. Cardani, Roberta & Croitorov, Olga & Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2022. "The euro area’s pandemic recession: A DSGE-based interpretation," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    5. Emanuele Colombo Azimonti & Luca Portoghese & Patrizio Tirelli, 2022. "Covid-19 supply-side fiscal policies to escape the health-vs-economy dilemma," DEM Working Papers Series 208, University of Pavia, Department of Economics and Management.
    6. Luca Portoghese & Patrizio Tirelli, 2024. "Getting ready for the next pandemic: supply- side policies to escape the health-vs-economy dilemma," DEM Working Papers Series 219, University of Pavia, Department of Economics and Management.

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    More about this item

    Keywords

    COVID-19; Nonlinear; Non-Gaussian; Large shocks; DSGE;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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