IDEAS home Printed from https://ideas.repec.org/a/erc/cypepr/v5y2011i1p71-85.html
   My bibliography  Save this article

An Analysis of Firms’ Expectations about Activity and Employment

Author

Listed:
  • Nicoletta Pashourtidou

    (Economics Research Centre, University of Cyprus)

  • Andreas Tsiaklis

    (Economics Research Centre, University of Cyprus)

Abstract

This paper uses individual firm data from the Cyprus Business Surveys for the period May 2009 - April 2011 to assess the extent to which expectations about activity and employment stated in a given month agree with realisations reported by the same firms in subsequent Surveys. The results show that the probability of a firm stating expectations that are consistent with future realisations varies systematically with firm-specific characteristics such as size, district and subsector of operation. The heterogeneity in this probability can be viewed as a description of the shocks experienced ex post by different types of firms

Suggested Citation

  • Nicoletta Pashourtidou & Andreas Tsiaklis, 2011. "An Analysis of Firms’ Expectations about Activity and Employment," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 5(1), pages 71-85, June.
  • Handle: RePEc:erc:cypepr:v:5:y:2011:i:1:p:71-85
    as

    Download full text from publisher

    File URL: https://www.ucy.ac.cy/erc/documents/AnAnalysis.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Broersma, Lourens & Gautier, Pieter, 1997. "Job Creation and Job Destruction by Small Firms: An Empirical Investigation for the Dutch Manufacturing Sector," Small Business Economics, Springer, vol. 9(3), pages 211-224, June.
    2. Andrea Carriero & Massimiliano Marcellino, 2011. "Sectoral Survey‐based Confidence Indicators for Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(2), pages 175-206, April.
    3. Souleles, Nicholas S, 2004. "Expectations, Heterogeneous Forecast Errors, and Consumption: Micro Evidence from the Michigan Consumer Sentiment Surveys," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(1), pages 39-72, February.
    4. Karl Taylor & Robert McNabb, 2007. "Business Cycles and the Role of Confidence: Evidence for Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(2), pages 185-208, April.
    5. Hansson, Jesper & Jansson, Per & Lof, Marten, 2005. "Business survey data: Do they help in forecasting GDP growth?," International Journal of Forecasting, Elsevier, vol. 21(2), pages 377-389.
    6. Claveria, Oscar & Pons, Ernest & Ramos, Raul, 2007. "Business and consumer expectations and macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 47-69.
    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. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 1-14, January.
    2. André Filipe Guedes Almeida & Gabriel Caldas Montes, 2020. "Effects of crime and violence on business confidence: evidence from Rio de Janeiro," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(7), pages 1669-1688, May.
    3. Lui, Silvia & Mitchell, James & Weale, Martin, 2011. "The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1128-1146, October.
    4. Helder Ferreira Mendonça & André Filipe Guedes Almeida, 2019. "Importance of credibility for business confidence: evidence from an emerging economy," Empirical Economics, Springer, vol. 57(6), pages 1979-1996, December.
    5. Sudeshna Ghosh, 2021. "Consumer Confidence and Consumer Spending in Brazil: A Nonlinear Autoregressive Distributed Lag Model Analysis," Arthaniti: Journal of Economic Theory and Practice, , vol. 20(1), pages 53-85, June.
    6. Lui, Silvia & Mitchell, James & Weale, Martin, 2011. "The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1128-1146, October.
    7. Gabriel Caldas Montes & André Almeida, 2017. "Corruption and business confidence: a panel data analysis," Economics Bulletin, AccessEcon, vol. 37(4), pages 2692-2702.
    8. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    9. Robert Lehmann & Antje Weyh, 2016. "Forecasting Employment in Europe: Are Survey Results Helpful?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 81-117, September.
    10. Erik Kole & Liesbeth Noordegraaf-Eelens & Bas Vringer, 2019. "Cognitive Biases and Consumer Sentiment," Tinbergen Institute Discussion Papers 19-031/I, Tinbergen Institute, revised 21 Mar 2023.
    11. Kevin Moran & Simplice Aimé Nono & Imad Rherrad, 2018. "Forecasting with Many Predictors: How Useful are National and International Confidence Data?," Cahiers de recherche 1814, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    12. Marina Matosec & Zdenka Obuljen Zoricic, 2019. "Identifying the Interdependence between Consumer Confidence and Macroeconomic Developments in Croatia," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(2-B), pages 345-354.
    13. Inna S. Lola & Anton Manukov, 2020. "Forecasting Employment In Small Businesses In Russia: The Relevance Of Business Tendency Surveys," HSE Working papers WP BRP 113/STI/2020, National Research University Higher School of Economics.
    14. repec:ptu:bdpart:a200817 is not listed on IDEAS
    15. Kaufmann, Daniel & Scheufele, Rolf, 2017. "Business tendency surveys and macroeconomic fluctuations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
    16. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," AQR Working Papers 201801, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2018.
    17. Pablo Castellanos García & Indalecio Pérez Díaz del Río & Jose Manuel Sanchez-Santos, 2014. "The role of confidence in the evolution of the Spanish economy: empirical evidence from an ARDL model," European Journal of Government and Economics, Europa Grande, vol. 3(2), pages 148-161, December.
    18. Lux, Thomas, 2008. "Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey," Kiel Working Papers 1424, Kiel Institute for the World Economy (IfW Kiel).
    19. Anja Sebbesen & Harald Oberhofer, 2018. "The Propagation of Business Sentiment within the European Union?," WIFO Working Papers 549, WIFO.
    20. Camila Figueroa S. & Michael Pedersen, 2019. "Extracting information on economic activity from business and consumer surveys in an emerging economy (Chile)," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 098-131, December.
    21. Lux, Thomas, 2009. "Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey," Journal of Economic Behavior & Organization, Elsevier, vol. 72(2), pages 638-655, November.

    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:erc:cypepr:v:5:y:2011:i:1:p:71-85. 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: Vasiliki Bozani (email available below). General contact details of provider: https://edirc.repec.org/data/erucycy.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.