IDEAS home Printed from https://ideas.repec.org/p/cfm/wpaper/2424.html
   My bibliography  Save this paper

Firms’ Sales Expectations and Marginal Propensity to Invest

Author

Listed:
  • Andrea Alati

    (Bank of England)

  • Johannes J. Fischer

    (Bank of England)

  • Maren Froemel

    (Bank of England)

  • Ozgen Ozturk

    (University of Oxford)

Abstract

How do firms adjust their investment in response to sales shocks and what determines the response? Using a unique firm-level survey, we propose a novel approach to estimate UK firms’ marginal propensity to invest (MPI) out of additional income: the forecast error of their sales growth expectations. Investment responds significantly to these sales surprises, with a 1 percentage point unexpected growth in sales translating into a 0.31 percentage point increase in capital expenditure. We find attentive firms to be more responsive, consistent with sales growth surprises providing firms with information about their demand. Sales growth surprises also cause firms to increase their prices, supporting this interpretation. We do not find evidence that these results are driven by financial frictions, uncertainty, or productivity shocks.

Suggested Citation

  • Andrea Alati & Johannes J. Fischer & Maren Froemel & Ozgen Ozturk, 2024. "Firms’ Sales Expectations and Marginal Propensity to Invest," Discussion Papers 2424, Centre for Macroeconomics (CFM).
  • Handle: RePEc:cfm:wpaper:2424
    as

    Download full text from publisher

    File URL: https://www.lse.ac.uk/CFM/assets/pdf/CFM-Discussion-Papers-2024/CFMDP2024-24-Paper.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. George W. Evans, 2001. "Expectations in Macroeconomics. Adaptive versus Eductive Learning," Revue Économique, Programme National Persée, vol. 52(3), pages 573-582.
    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. Berardi, Michele, 2007. "Heterogeneity and misspecifications in learning," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3203-3227, October.
    2. Inkoo Cho & Noah Williams, 2024. "Collusive Outcomes Without Collusion," Papers 2403.07177, arXiv.org.
    3. Tasneem, Faria & Waters, George, 2017. "Forecasting MISO Electricity Prices: A Threshold Autoregressive Approach with Load Data," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 48(3), October.
    4. George W. Evans & Seppo Honkapohja, 2009. "Robust Learning Stability with Operational Monetary Policy Rules," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 5, pages 145-170, Central Bank of Chile.
    5. Warne, Anders, 2023. "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series 2768, European Central Bank.
    6. Mathieu Pedemonte & Hiroshi Toma & Esteban Verdugo, 2023. "Aggregate Implications of Heterogeneous Inflation Expectations: The Role of Individual Experience," Working Papers 23-04, Federal Reserve Bank of Cleveland.
    7. Marco Airaudo & Salvatore Nisticò & Luis‐Felipe Zanna, 2015. "Learning, Monetary Policy, and Asset Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(7), pages 1273-1307, October.
    8. Elizabeth Bersson & Patrick Hürtgen & Matthias Paustian, 2024. "Expectations Formation, Sticky Prices, and the ZLB," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(2-3), pages 365-393, March.
    9. Evans, George W. & Hommes, Cars & McGough, Bruce & Salle, Isabelle, 2022. "Are long-horizon expectations (de-)stabilizing? Theory and experiments," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 44-63.
    10. Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.
    11. Viral V. Acharya & Matteo Crosignani & Tim Eisert & Christian Eufinger, 2023. "How Do Supply Shocks to Inflation Generalize? Evidence from the Pandemic Era in Europe," NBER Working Papers 31790, National Bureau of Economic Research, Inc.
    12. Arifovic, Jasmina & Yıldızoğlu, Murat, 2019. "Learning the Ramsey outcome in a Kydland & Prescott economy," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 191-208.
    13. Cellarier, L.L., 2023. "Flexible time horizon planning, learning and aggregate fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 268-291.
    14. Stephen Hansen & Michael McMahon, 2016. "First Impressions Matter: Signalling as a Source of Policy Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1645-1672.
    15. ap Gwilym, Rhys, 2009. "The Monetary Policy Implications of Behavioral Asset Bubbles," Cardiff Economics Working Papers E2009/18, Cardiff University, Cardiff Business School, Economics Section.
    16. George W. Evans & Seppo Honkapohja & Kaushik Mitra, 2012. "Does Ricardian Equivalence Hold When Expectations Are Not Rational?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1259-1283, October.
    17. James Bullard & Eric Schaling, 2009. "Monetary Policy, Determinacy, and Learnability in a Two‐Block World Economy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(8), pages 1585-1612, December.
    18. Jang, Tae-Seok & Sacht, Stephen, 2021. "Forecast heuristics, consumer expectations, and New-Keynesian macroeconomics: A Horse race," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 493-511.
    19. Cole, Stephen J., 2020. "The influence of learning and price-level targeting on central bank forward guidance," Journal of Macroeconomics, Elsevier, vol. 65(C).
    20. Christopher Gust & Edward Herbst & David López-Salido, 2022. "Short-Term Planning, Monetary Policy, and Macroeconomic Persistence," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(4), pages 174-209, October.

    More about this item

    Keywords

    Investment; survey data; corporate finance; financial frictions; learning;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D25 - Microeconomics - - Production and Organizations - - - Intertemporal Firm Choice: Investment, Capacity, and Financing
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cfm:wpaper:2424. 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: Helen Power (email available below). General contact details of provider: https://edirc.repec.org/data/cmlseuk.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.