IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/53813.html
   My bibliography  Save this paper

Industrial production and Confidence after the crisis: what's going on?

Author

Listed:
  • Malgarini, Marco

Abstract

The paper provides new evidence on possible structural breaks in the relationship among business Confidence and industrial activity in Europe in the aftermath of the recession. Possible interpretation is that the crisis has determined a change in the pattern of response in surveys, firms now incorporating a lower level of long term output. A confirmation comes from the analysis of survey data on capacity utilisation: we find indeed that perceived potential output or potential output growth has declined throughout the euro area. Results may be rather important for business cycle analysts and policy makers: for the former, the suggestion is to consider business survey data with particular care, since their interpretation has changed as a consequence of the crisis. Policy makers on the other hand should consider that the recession has changed long term expectations of agents, possibly significantly affecting transmission channels of both monetary and fiscal policies.

Suggested Citation

  • Malgarini, Marco, 2012. "Industrial production and Confidence after the crisis: what's going on?," MPRA Paper 53813, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:53813
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/53813/1/MPRA_paper_53813.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pesaran, M. Hashem & Weale, Martin, 2006. "Survey Expectations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 14, pages 715-776, Elsevier.
    2. Marco Malgarini & Antonio Paradiso, 2012. "Measuring capacity utilisation in the italian manufacturing sector: a comparison between time series and survey estimates," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(2), pages 5-19.
    3. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    4. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    5. Cesaroni, Tatiana & Maccini, Louis & Malgarini, Marco, 2011. "Business cycle stylized facts and inventory behaviour: New evidence for the Euro area," International Journal of Production Economics, Elsevier, vol. 133(1), pages 12-24, September.
    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. G. Bruno & L. Crosilla & P. Margani, 2019. "Inspecting the Relationship Between Business Confidence and Industrial Production: Evidence on Italian Survey Data," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 15(1), pages 1-24, April.

    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. G. Bruno & L. Crosilla & P. Margani, 2019. "Inspecting the Relationship Between Business Confidence and Industrial Production: Evidence on Italian Survey Data," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 15(1), pages 1-24, April.
    2. Furceri, Davide & Mourougane, Annabelle, 2012. "The effect of financial crises on potential output: New empirical evidence from OECD countries," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 822-832.
    3. Martínez, Juan Francisco & Oda, Daniel, 2021. "Characterization of the Chilean financial cycle, early warning indicators and implications for macro-prudential policies," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(1).
    4. Massmann, Michael & Mitchell, James, 2003. "Reconsidering the evidence: Are Eurozone business cycles converging," ZEI Working Papers B 05-2003, University of Bonn, ZEI - Center for European Integration Studies.
    5. Selim Elekdag & Yiqun Wu, 2013. "Rapid Credit Growth in Emerging Markets: Boon or Boom-Bust?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(5), pages 45-62, September.
    6. Bank for International Settlements, 2008. "Assessing the integration of Asia's equity and bond markets," BIS Papers chapters, in: Bank for International Settlements (ed.), Regional financial integration in Asia: present and future, volume 42, pages 1-37, Bank for International Settlements.
    7. Ansgar Belke & Clemens Domnick & Daniel Gros, 2017. "Business Cycle Synchronization in the EMU: Core vs. Periphery," Open Economies Review, Springer, vol. 28(5), pages 863-892, November.
    8. Albers, Thilo Nils Hendrik, 2018. "The prelude and global impact of the Great Depression: Evidence from a new macroeconomic dataset," Explorations in Economic History, Elsevier, vol. 70(C), pages 150-163.
    9. Tatiana Cesaroni & Stefano Iezzi, 2017. "The Predictive Content of Business Survey Indicators: Evidence from SIGE," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 75-104, May.
    10. Mr. Selim A Elekdag & Mr. Yiqun Wu, 2011. "Rapid Credit Growth: Boon or Boom-Bust?," IMF Working Papers 2011/241, International Monetary Fund.
    11. repec:grm:wpaper:201609 is not listed on IDEAS
    12. Harun Alp & Yusuf Soner Baskaya & Mustafa Kilinc & Canan Yuksel, 2012. "Stylized Facts for Business Cycles in Turkey," Working Papers 1202, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    13. Giuliano Queiroz Ferreira & Leonardo Bornacki Mattos, 2022. "Regime-dependent price puzzle in the Brazilian economy: evidence from VAR and FAVAR approaches," SN Business & Economics, Springer, vol. 2(9), pages 1-28, September.
    14. Gammadigbe, Vigninou, 2022. "Financial Cycles Synchronization in WAEMU Countries: Implications for Macroprudential Policy," Finance Research Letters, Elsevier, vol. 46(PA).
    15. Luciana Crosilla & Marco Malgarini, 2011. "Behavioural models for manufacturing firms: analysing survey data," ECONOMIA E POLITICA INDUSTRIALE, FrancoAngeli Editore, vol. 2011(4), pages 139-163.
    16. Bjarni G. Einarsson & Kristófer Gunnlaugsson & Thorvardur Tjörvi Ólafsson & Thórarinn G. Pétursson, 2015. "The long history of financial boom-bust cycles in Iceland - Part I: Financial crises," Economics wp68, Department of Economics, Central bank of Iceland.
    17. James Laurenceson & Corrine Dobson, "undated". "China’s business cycles since 1979: a chronology and comparative analysis," EAERG Discussion Paper Series 1705, School of Economics, University of Queensland, Australia.
    18. Man-Keung Tang & Mr. Xiangrong Yu, 2011. "Communication of Central Bank Thinking and Inflation Dynamics," IMF Working Papers 2011/209, International Monetary Fund.
    19. Joao Loureiro & Manuel M.f. Martins & Ana Paula Ribeiro, 2010. "Cape Verde: The Case For Euroisation," South African Journal of Economics, Economic Society of South Africa, vol. 78(3), pages 248-268, September.
    20. Canova, Fabio & Ferroni, Filippo, 2020. "A hitchhiker guide to empirical macro models," CEPR Discussion Papers 15446, C.E.P.R. Discussion Papers.
    21. Padhan, Rakesh & Prabheesh, K.P., 2020. "Business cycle synchronization: Disentangling direct and indirect effect of financial integration in the Indian context," Economic Modelling, Elsevier, vol. 85(C), pages 272-287.

    More about this item

    Keywords

    Business cycles; Business surveys; potential output growth; structural breaks;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:pra:mprapa:53813. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.