IDEAS home Printed from https://ideas.repec.org/a/eee/dyncon/v115y2020ics0165188920300439.html
   My bibliography  Save this article

Comments on: “What drives aggregate investment? Evidence from German survey data”

Author

Listed:
  • Caggese, Andrea

Abstract

The broad question that motivates this paper is: Which shocks drive aggregate fluctuations? Narrative methods have been widely used in macroeconomics to help answer it. They involve obtaining information from qualitative data sources to identify the reason and/or the quantities associated with a particular change in a variable (Ramey, 2016). Often narrative methods refer to analyzing historical sources on macroeconomic policy decisions, such as fiscal or monetary policy announcements. However, they can also relate to the information contained in micro-level qualitative data sources, such as business surveys. For example, Guiso and Parigi (1999) use survey information on the subjective probability distribution of future demand to estimate firm-level uncertainty shocks. This paper follows a similar approach, in that it uses qualitative information from business surveys, and has two novel objectives: First, to use firm-level survey information to identify the aggregate shocks driving aggregate investment in the German manufacturing sector. Second, to identify the nature of these shocks. I think we learn a lot from the results the authors obtain pursuing the first objective. The analysis related to the second objective generates results that, while they do not provide definitive answers, raise interesting questions for future research.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Caggese, Andrea, 2020. "Comments on: “What drives aggregate investment? Evidence from German survey data”," Journal of Economic Dynamics and Control, Elsevier, vol. 115(C).
    • Handle: RePEc:eee:dyncon:v:115:y:2020:i:c:s0165188920300439
    DOI: 10.1016/j.jedc.2020.103874
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165188920300439
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jedc.2020.103874?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Luigi Guiso & Giuseppe Parigi, 1999. "Investment and Demand Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 185-227.
    2. J. B. Taylor & Harald Uhlig (ed.), 2016. "Handbook of Macroeconomics," Handbook of Macroeconomics, Elsevier, edition 1, volume 2, number 2.
    3. Matthias M M Buehlmaier & Toni M Whited, 2018. "Are Financial Constraints Priced? Evidence from Textual Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2693-2728.
    4. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bachmann, Rüdiger & Zorn, Peter, 2020. "What drives aggregate investment? Evidence from German survey data," Journal of Economic Dynamics and Control, Elsevier, vol. 115(C).
    2. Cristiano Cantore & Filippo Ferroni & Miguel León-Ledesma, 2021. "The Missing Link: Monetary Policy and The Labor Share," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1592-1620.
    3. James Cloyne & Òscar Jordà & Alan M. Taylor, 2020. "Decomposing the Fiscal Multiplier," Working Paper Series 2020-12, Federal Reserve Bank of San Francisco.
    4. Valerie A. Ramey, 2019. "Ten Years after the Financial Crisis: What Have We Learned from the Renaissance in Fiscal Research?," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 89-114, Spring.
    5. Franziska Piontek & Matthias Kalkuhl & Elmar Kriegler & Anselm Schultes & Marian Leimbach & Ottmar Edenhofer & Nico Bauer, 2019. "Economic Growth Effects of Alternative Climate Change Impact Channels in Economic Modeling," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1357-1385, August.
    6. Oscar Jorda & Alan Taylor & Sanjay Singh, 2019. "The Long-Run Effects of Monetary Policy," 2019 Meeting Papers 1307, Society for Economic Dynamics.
    7. Bolboaca, Maria, 2019. "The Impact of Technological Change," Economics Working Paper Series 1902, University of St. Gallen, School of Economics and Political Science.
    8. Robin Braun & Ralf Brüggemann, 2017. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2017-07, Department of Economics, University of Konstanz.
    9. Konstantin Styrin, 2018. "A Multi-Country Study of Cross-Border Transmission of Monetary Policy by IBRN," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 81-94, June.
    10. Ettmeier, Stephanie & Kriwoluzky, Alexander, 2019. "Same, but different? Testing monetary policy shock measures," Economics Letters, Elsevier, vol. 184(C).
    11. Nadav Ben Zeev & Christopher Gunn & Hashmat Khan, 2020. "Monetary News Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(7), pages 1793-1820, October.
    12. Balleer, Almut & Zorn, Peter, 2020. "The Micro-level Price Response to Monetary Policy," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224557, Verein für Socialpolitik / German Economic Association.
    13. Michael D. Bauer & Eric T. Swanson, 2023. "A Reassessment of Monetary Policy Surprises and High-Frequency Identification," NBER Macroeconomics Annual, University of Chicago Press, vol. 37(1), pages 87-155.
    14. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    15. Caggiano, Giovanni & Castelnuovo, Efrem & Damette, Olivier & Parent, Antoine & Pellegrino, Giovanni, 2017. "Liquidity traps and large-scale financial crises," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 99-114.
    16. Emilio Colombo & Davide Furceri & Pietro Pizzuto & Patrizio Tirelli, 2022. "Fiscal Multipliers and Informality," IMF Working Papers 2022/082, International Monetary Fund.
    17. Mehdi El Herradi & Aurélien Leroy, 2021. "Monetary Policy and the Top 1%: Evidence from a Century of Modern Economic History," International Journal of Central Banking, International Journal of Central Banking, vol. 17(71), pages 1-41, December.
    18. Andrade, Philippe & Ferroni, Filippo, 2021. "Delphic and odyssean monetary policy shocks: Evidence from the euro area," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 816-832.
    19. Campos, Nauro F. & Macchiarelli, Corrado, 2016. "Core and Periphery in the European Monetary Union: Bayoumi and Eichengreen 25 years later," Economics Letters, Elsevier, vol. 147(C), pages 127-130.
    20. Valerie A. Ramey, 2020. "The Macroeconomic Consequences of Infrastructure Investment," NBER Chapters, in: Economic Analysis and Infrastructure Investment, pages 219-268, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - 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:eee:dyncon:v:115:y:2020:i:c:s0165188920300439. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jedc .

    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.