IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/cnqmr.html
   My bibliography  Save this paper

Using Managers' Expectations for Ex-ante Policy Evaluation: Evidence from the COVID-19 Crisis

Author

Listed:
  • Kawaguchi, Kohei
  • Kodama, Naomi
  • Kumanomido, Hiroshi
  • Tanaka, Mari

Abstract

Evaluation of the impacts of government policies during an economic crisis is often delayed until the outcomes are realized. Policies can be better guided if they can be evaluated amid a crisis, before the realization of outcomes. This study examines whether survey data on the expectations of small business managers can help evaluate two high-stake subsidies for firms amid the COVID-19 crisis in Japan, namely, Subsidy Program for Sustaining Businesses (SPSB) and Employment Adjustment Subsidy (EAS). We evaluate the accuracy of managers’ expectations, estimate the impact of subsidies on the expected firm survival, and compare it with the estimated impact on realized survival. We find that the managers’ expectations on their future sales, survival rate, and the possibility of receiving these subsidies predict the realized outcomes, although they were highly pessimistic about their survival rates. We find that the estimated impacts of the SPSB on the expected survival rates have the same sign as the estimated impact on the realized survival rates, but the size is more than twice because of the pessimism on survival. The estimated impacts of the EAS are both insignificant. Therefore, although its impact may be overestimated, managers’ expectations are useful for selecting an effective policy.

Suggested Citation

  • Kawaguchi, Kohei & Kodama, Naomi & Kumanomido, Hiroshi & Tanaka, Mari, 2022. "Using Managers' Expectations for Ex-ante Policy Evaluation: Evidence from the COVID-19 Crisis," SocArXiv cnqmr, Center for Open Science.
  • Handle: RePEc:osf:socarx:cnqmr
    DOI: 10.31219/osf.io/cnqmr
    as

    Download full text from publisher

    File URL: https://osf.io/download/630f0724a5bae30374b6bb92/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/cnqmr?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar, 2018. "How Do Firms Form Their Expectations? New Survey Evidence," American Economic Review, American Economic Association, vol. 108(9), pages 2671-2713, September.
    2. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Simple Local Polynomial Density Estimators," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1449-1455, July.
    3. Laffont, Jean-Jacques & Tirole, Jean, 1986. "Using Cost Observation to Regulate Firms," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 614-641, June.
    4. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    5. Massenot, Baptiste & Pettinicchi, Yuri, 2019. "Can households see into the future? Survey evidence from the Netherlands," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 77-90.
    6. Michiru Kaneda & So Kubota & Satoshi Tanaka, 2021. "Who spent their COVID-19 stimulus payment? Evidence from personal finance software in Japan," The Japanese Economic Review, Springer, vol. 72(3), pages 409-437, July.
    7. Glenn Hubbard & Michael R. Strain, 2020. "Has the Paycheck Protection Program Succeeded?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(3 (Fall)), pages 335-390.
    8. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    9. Bachmann, Rüdiger & Elstner, Steffen, 2015. "Firm optimism and pessimism," European Economic Review, Elsevier, vol. 79(C), pages 297-325.
    10. John A. List, 2001. "Do Explicit Warnings Eliminate the Hypothetical Bias in Elicitation Procedures? Evidence from Field Auctions for Sportscards," American Economic Review, American Economic Association, vol. 91(5), pages 1498-1507, December.
    11. Andrei Shleifer, 1985. "A Theory of Yardstick Competition," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 319-327, Autumn.
    12. Weitzman, Martin L, 1978. "Optimal Rewards for Economic Regulation," American Economic Review, American Economic Association, vol. 68(4), pages 683-691, September.
    13. Peter A. Diamond & Jerry A. Hausman, 1994. "Contingent Valuation: Is Some Number Better than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 45-64, Fall.
    14. Fabio R Arico & Ulrike Stein, 2012. "Was Short-Time Work a Miracle Cure During the Great Recession? The Case of Germany and Italy," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 54(2), pages 275-297, June.
    15. Loeb, Martin & Magat, Wesley A, 1979. "A Decentralized Method for Utility Regulation," Journal of Law and Economics, University of Chicago Press, vol. 22(2), pages 399-404, October.
    16. David Sappington, 1982. "Optimal Regulation of Research and Development under Imperfect Information," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 354-368, Autumn.
    17. repec:aei:rpaper:1008582843 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Bighelli, Tommaso & Lalinsky, Tibor & Vanhala, Juuso, 2023. "Cross-country evidence on the allocation of COVID-19 government subsidies and consequences for productivity," Journal of the Japanese and International Economies, Elsevier, vol. 68(C).

    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. Massenot, Baptiste & Pettinicchi, Yuri, 2018. "Can firms see into the future? Survey evidence from Germany," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 66-79.
    2. Kim, Jae-Cheol & Lee, Sang-Ho, 1995. "An optimal regulation in an intertemporal oligopoly market: The Generalized Incremental Surplus Subsidy (GISS) scheme," Information Economics and Policy, Elsevier, vol. 7(3), pages 225-249, September.
    3. Alexandros Botsis & Christoph Görtz & Plutarchos Sakellaris, 2020. "Quantifying Qualitative Survey Data: New Insights on the (Ir)Rationality of Firms' Forecasts," CESifo Working Paper Series 8148, CESifo.
    4. Armstrong, Mark & Sappington, David E.M., 2007. "Recent Developments in the Theory of Regulation," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 27, pages 1557-1700, Elsevier.
    5. Chen, Cheng & Senga, Tatsuro & Sun, Chang & Zhang, Hongyong, 2023. "Uncertainty, imperfect information, and expectation formation over the firm’s life cycle," Journal of Monetary Economics, Elsevier, vol. 140(C), pages 60-77.
    6. Nakazono, Yoshiyuki & Koga, Maiko & Sugo, Tomohiro, 2020. "Private information and analyst coverage: Evidence from firm survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 284-298.
    7. Laffont, Jean-Jacques, 1994. "The New Economics of Regulation Ten Years After," Econometrica, Econometric Society, vol. 62(3), pages 507-537, May.
    8. Frache, Serafin & Lluberas, Rodrigo & Turen, Javier, 2024. "Belief-dependent pricing decisions," Economic Modelling, Elsevier, vol. 132(C).
    9. Born, Benjamin & Enders, Zeno & Menkhoff, Manuel & Müller, Gernot & Niemann, Knut, 2022. "Firm Expectations and News: Micro v Macro," CEPR Discussion Papers 17768, C.E.P.R. Discussion Papers.
    10. Enders, Zeno & Hünnekes, Franziska & Müller, Gernot J., 2019. "Monetary policy announcements and expectations: Evidence from german firms," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 45-63.
    11. Zeno Enders & Franziska Hünnekes & Gernot Müller, 2022. "Firm Expectations and Economic Activity," Journal of the European Economic Association, European Economic Association, vol. 20(6), pages 2396-2439.
    12. B. Caillaud & R. Guesnerie & P. Rey & J. Tirole, 1988. "Government Intervention in Production and Incentives Theory: A Review of Recent Contributions," RAND Journal of Economics, The RAND Corporation, vol. 19(1), pages 1-26, Spring.
    13. Olivier Coibion & Yuriy Gorodnichenko & Tiziano Ropele, 2020. "Inflation Expectations and Firm Decisions: New Causal Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 165-219.
    14. Massenot, Baptiste & Pettinicchi, Yuri, 2019. "Can households see into the future? Survey evidence from the Netherlands," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 77-90.
    15. Drew Fudenberg, 2015. "Tirole's Industrial Regulation and Organization Legacy in Economics," Scandinavian Journal of Economics, Wiley Blackwell, vol. 117(3), pages 771-800, July.
    16. Tanaka, Mari & Bloom, Nicholas & David, Joel M. & Koga, Maiko, 2020. "Firm performance and macro forecast accuracy," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 26-41.
    17. Dovern, Jonas & Müller, Lena Sophia & Wohlrabe, Klaus, 2023. "Local information and firm expectations about aggregates," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 1-13.
    18. Nicholas Bloom & Takafumi Kawakubo & Charlotte Meng & Paul Mizen & Rebecca Riley & Tatsuro Senga & John Van Reenen, 2021. "Do Well Managed Firms Make Better Forecasts?," NBER Working Papers 29591, National Bureau of Economic Research, Inc.
    19. Bogetoft, Peter & Eskesen, Anita, 2022. "Balancing information rents and service differentiation in utility regulation," Energy Economics, Elsevier, vol. 106(C).
    20. Ismail Saglam, 2024. "The Bayesian approach to monopoly regulation after 40 years," Journal of Regulatory Economics, Springer, vol. 65(1), pages 108-136, June.

    More about this item

    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:osf:socarx:cnqmr. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.