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Investment price rigidity and business cycles

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  • Alban Moura

Abstract

This paper incorporates sticky investment prices in a two-sector monetary model of business cycles. Fit to quarterly U.S. time series, the model suggests that price rigidity in the investment sector is the single most empirically relevant friction to match the data. Sticky investment prices are also important to understand the dynamic effects of technology shocks and their pass-through to the relative price of investment goods.

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  • Alban Moura, 2017. "Investment price rigidity and business cycles," BCL working papers 105, Central Bank of Luxembourg.
    • Handle: RePEc:bcl:bclwop:bclwp105
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    Citations

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    Cited by:

    1. Moura, Alban, 2020. "Total factor productivity and the measurement of neutral technology," MPRA Paper 99357, University Library of Munich, Germany.
    2. Ma, Xiaohan & Samaniego, Roberto, 2022. "Business cycle dynamics when neutral and investment-specific technology shocks are imperfectly observable," Journal of Mathematical Economics, Elsevier, vol. 101(C).
    3. Alban Moura, 2023. "Trend breaks and the long-run implications of investment-specific technological progress," Applied Economics Letters, Taylor & Francis Journals, vol. 30(16), pages 2270-2275, September.
    4. Fève, Patrick & Sanchez, Pablo Garcia & Moura, Alban & Pierrard, Olivier, 2021. "Costly default and skewed business cycles," European Economic Review, Elsevier, vol. 132(C).
    5. Aydan Dogan, 2019. "Investment Specific Technology Shocks and Emerging Market Business Cycle Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 202-220, October.
    6. Alban Moura, 2020. "LED: An estimated DSGE model of the Luxembourg economy for policy analysis," BCL working papers 147, Central Bank of Luxembourg.
    7. Alban Moura & Olivier Pierrard, 2024. "Bayesian Evaluation of DSGE Models with Housing and Collateral Effects," Annals of Economics and Statistics, GENES, issue 155, pages 91-124.
    8. Kim, Jongsoo & Kim, Kwang Hwan & Shim, Myungkyu, 2023. "Are all economic fluctuations bad for consumers?," Journal of Economic Dynamics and Control, Elsevier, vol. 156(C).
    9. Fabio Massimo Piersanti & Patrizio Tirelli, 2020. "Endogenous Productivity Dynamics in a Two-Sector Business Cycle Model," Working Papers 434, University of Milano-Bicocca, Department of Economics, revised Feb 2020.
    10. Emanuele Colombo Azimonti & Luca Portoghese & Patrizio Tirelli, 2022. "Covid-19 supply-side fiscal policies to escape the health-vs-economy dilemma," DEM Working Papers Series 208, University of Pavia, Department of Economics and Management.
    11. Fève, Patrick & Sanchez, Pablo Garcia & Moura, Alban & Pierrard, Olivier, 2021. "Costly default and skewed business cycles," European Economic Review, Elsevier, vol. 132(C).
    12. Moura, Alban, 2021. "Are neutral and investment-specific technology shocks correlated?," European Economic Review, Elsevier, vol. 139(C).
    13. Fève, Patrick & Moura, Alban & Pierrard, Olivier, 2022. "The fall in shadow banking and the slow U.S. recovery," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    14. Seunghoon Na & Hyunseung Oh, 2020. "Computerizing Households and the Role of Investment-Specific Productivity in Business Cycles," International Finance Discussion Papers 1292, Board of Governors of the Federal Reserve System (U.S.).
    15. Takuji Fueki & Shinnosuke Katsuki & Ichiro Muto & Yu Sugisaki, 2023. "Automation and Nominal Rigidities," IMES Discussion Paper Series 23-E-01, Institute for Monetary and Economic Studies, Bank of Japan.
    16. Daeha Cho & Kwang Hwan Kim, 2020. "Inefficient Relative Price Fluctuations," Working papers 2020rwp-171, Yonsei University, Yonsei Economics Research Institute.
    17. Yury N. Vorobyov & Elena I. Vorobyova, 2019. "Investment potential of Russia’s economy: Opportunities for financing the development," Journal of New Economy, Ural State University of Economics, vol. 20(1), pages 41-60, March.
    18. Cho, Daeha & Kim, Kwang Hwan, 2022. "Inefficient relative price fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    19. Ivashchenko, Sergey & Mutschler, Willi, 2020. "The effect of observables, functional specifications, model features and shocks on identification in linearized DSGE models," Economic Modelling, Elsevier, vol. 88(C), pages 280-292.
    20. Fève, Patrick & Moura, Alban & Pierrard, Olivier, 2019. "Shadow Banking and the Great Recession: Evidence from an Estimated DSGE Model," TSE Working Papers 19-996, Toulouse School of Economics (TSE).
    21. Nadav Ben Zeev, 2019. "Is There A Single Shock That Drives The Majority Of Business Cycle Fluctuations?," Working Papers 1906, Ben-Gurion University of the Negev, Department of Economics.
    22. Nikolaos Charalampidis, 2020. "The U.S. Labor Income Share And Automation Shocks," Economic Inquiry, Western Economic Association International, vol. 58(1), pages 294-318, January.

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    More about this item

    Keywords

    investment price rigidity; relative price of investment; multisector DSGE model.;
    All these keywords.

    JEL classification:

    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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