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Firms' Expectations of New Orders, Employment, Costs and Prices: Evidence from Micro Data

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  • Boneva, Lena
  • Cloyne, James
  • Weale, Martin
  • Wieladek, Tomasz

Abstract

Firms' expectations play a central role in forward-looking macroeconomic models, but little is known empirically about how these are formed or whether they matter. Using a novel panel data set of firms' expectations about new orders, employment, unit costs, prices and wage rates for the United Kingdom, we document a range of stylized facts about the properties of firms' expectations and their relationship with recent pricing decisions. Expected future price and wage growth are influenced by firm-specific and aggregate factors. Price expectations are more correlated with cost and inflation indicators, wage expectations are more correlated with activity indicators. Expectations of new orders are influenced by aggregate conditions, while expected employment and unit costs seem to be influenced more by firm-specific factors. We also provide micro evidence to support the idea that actual price movements are influenced by expected future price movements, although firms' expectations do not seem to be fully rational.

Suggested Citation

  • Boneva, Lena & Cloyne, James & Weale, Martin & Wieladek, Tomasz, 2018. "Firms' Expectations of New Orders, Employment, Costs and Prices: Evidence from Micro Data," CEPR Discussion Papers 12722, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:12722
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    References listed on IDEAS

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    1. 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.
    2. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
    3. Michael F. Bryan & Brent Meyer & Nicholas B. Parker, 2014. "The inflation expectations of firms: what do they look like, are they accurate, and do they matter?," FRB Atlanta Working Paper 2014-27, Federal Reserve Bank of Atlanta.
    4. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    5. Saten Kumar & Hassan Afrouzi & Olivier Coibion & Yuriy Gorodnichenko, 2015. "Inflation Targeting Does Not Anchor Inflation Expectations: Evidence from Firms in New Zealand," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(2 (Fall)), pages 151-225.
    6. Prescott, Edward C., 1977. "Should control theory be used for economic stabilization?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 7(1), pages 13-38, January.
    7. Sbordone, Argia M., 2002. "Prices and unit labor costs: a new test of price stickiness," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 265-292, March.
    8. Hibiki Ichiue & Shusaku Nishiguchi, 2015. "Inflation Expectations And Consumer Spending At The Zero Bound: Micro Evidence," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 1086-1107, April.
    9. Olivier Coibion & Yuriy Gorodnichenko & Rupal Kamdar, 2018. "The Formation of Expectations, Inflation, and the Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1447-1491, December.
    10. Pesaran, M Hashem, 1985. "Formation of Inflation Expectations in British Manufacturing Industries," Economic Journal, Royal Economic Society, vol. 95(380), pages 948-975, December.
    11. Brunner, Karl & Meltzer, Allan H., 1977. "Optimal policies, control theory and technology exports," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 7(1), pages 1-11, January.
    12. Das, J.W.M. & Dominitz, J. & van Soest, A.H.O., 1997. "Comparing Predictions and Outcomes : Theory and Application to Income Changes," Other publications TiSEM 6eef11dd-0ae4-4673-b8c0-2, Tilburg University, School of Economics and Management.
    13. Michael Woodford, 2012. "Methods of policy accommodation at the interest-rate lower bound," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 185-288.
    14. Raffaella Giacomini & Halbert White, 2006. "Tests of Conditional Predictive Ability," Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
    15. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    16. Sbordone, Argia M., 2005. "Do expected future marginal costs drive inflation dynamics?," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1183-1197, September.
    17. Olivier Armantier & Wändi Bruine de Bruin & Giorgio Topa & Wilbert Klaauw & Basit Zafar, 2015. "Inflation Expectations And Behavior: Do Survey Respondents Act On Their Beliefs?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 505-536, May.
    18. Prescott, Edward C., 1977. "Should control theory be used for economic stabilization?: A rejoinder," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 7(1), pages 101-102, January.
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    Cited by:

    1. 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.
    2. 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.

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    More about this item

    Keywords

    Firm expectations; Pricing setting; Rationality; Survey data; Inflation expectations;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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