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The Determinants of Price Rigidity in the UK: Analysis of the CPI and PPI Microdata and Application to Macrodata Modelling

Author

Listed:
  • Peng Zhou
  • Huw Dixon

Abstract

This paper investigates price rigidity in UK consumer and producer markets, by estimating the hazard functions of price changes in microdata which are then used in macrodata modelling. We explore the mechanism of price setting using survival analysis in order to see what factors drive the observed price rigidity. We find significant effects of macroeconomic variables such as inflation and output, which should be purged off before calibrating any macroeconomic models. The microdata findings are then used to estimate and simulate a heterogeneous price setting model (generalised Calvo and Taylor), which improves the performance in matching macrodata persistence.

Suggested Citation

  • Peng Zhou & Huw Dixon, 2019. "The Determinants of Price Rigidity in the UK: Analysis of the CPI and PPI Microdata and Application to Macrodata Modelling," Manchester School, University of Manchester, vol. 87(5), pages 640-677, September.
    • Handle: RePEc:bla:manchs:v:87:y:2019:i:5:p:640-677
    DOI: 10.1111/manc.12263
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    Cited by:

    1. Chen, Haixia & Mai Le, Vo Phuong & Meenagh, David & Minford, Patrick, 2025. "UK monetary policy in an estimated DSGE model with state-dependent price and wage contracts," Journal of International Money and Finance, Elsevier, vol. 157(C).
    2. Minford, Patrick & Le, Vo Phuong Mai & Meenagh, David, 2020. "State-dependent pricing turns money into a two-edged sword," CEPR Discussion Papers 15551, C.E.P.R. Discussion Papers.
    3. Minford, Patrick & Meenagh, David & Wickens, Michael R., 2021. "Estimating macro models and the potentially misleading nature of Bayesian estimation," CEPR Discussion Papers 15684, C.E.P.R. Discussion Papers.
    4. Vo Phuong Mai Le & David Meenagh & Patrick Minford, 2024. "The Role of Fiscal Policy — A Survey of Recent Empirical Findings," Open Economies Review, Springer, vol. 35(5), pages 985-998, November.
    5. Xu, Yonghong & Su, Bingjie & Pan, Wenjie & Zhou, Peng, 2024. "A High-Frequency Digital Economy Index: Text Analysis and Factor Analysis based on Big Data," Cardiff Economics Working Papers E2024/11, Cardiff University, Cardiff Business School, Economics Section.
    6. Amlendu Dubey & Juhi Lohani, 2022. "Inflation targeting and price behaviour: evidence from India," Indian Economic Review, Springer, vol. 57(2), pages 265-284, December.
    7. Huang, Jiayi & Matthews, Kent & Zhou, Peng, 2020. "What causes Chinese listed firms to switch bank loan provider? Evidence from a survival analysis," Emerging Markets Review, Elsevier, vol. 43(C).
    8. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick, 2021. "State-dependent pricing turns money into a two-edged sword: A new role for monetary policy," Journal of International Money and Finance, Elsevier, vol. 119(C).

    More about this item

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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