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Online Appendix to "Investment Shocks, Sticky Prices, and the Endogenous Relative Price of Investment"

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  • Alban Moura

    (Central Bank of Luxembourg)

Abstract

Online appendix for the Review of Economic Dynamics article

Suggested Citation

  • Alban Moura, 2017. "Online Appendix to "Investment Shocks, Sticky Prices, and the Endogenous Relative Price of Investment"," Online Appendices 16-315, Review of Economic Dynamics.
    • Handle: RePEc:red:append:16-315
    Note: The original article was published in the Review of Economic Dynamics
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    1. Carlos Carvalho & Fernanda Nechio, 2016. "Factor Specificity and Real Rigidities," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 208-222, October.
    2. Huffman, Gregory W. & Wynne, Mark A., 1999. "The role of intratemporal adjustment costs in a multisector economy," Journal of Monetary Economics, Elsevier, vol. 43(2), pages 317-350, April.
    3. Alejandro Justiniano & Giorgio Primiceri & Andrea Tambalotti, 2011. "Investment Shocks and the Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 101-121, January.
    4. Justiniano, Alejandro & Primiceri, Giorgio E. & Tambalotti, Andrea, 2010. "Investment shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 132-145, March.
    5. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 2000. "The role of investment-specific technological change in the business cycle," European Economic Review, Elsevier, vol. 44(1), pages 91-115, January.
    6. Luca Guerrieri & Dale Henderson & Jinill Kim, 2014. "Modeling Investment‐Sector Efficiency Shocks: When Does Disaggregation Matter?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55, pages 891-917, August.
    7. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
    8. Luca Guerrieri & Dale W. Henderson & Jinill Kim, 2010. "Interpreting investment-specific technology shocks," International Finance Discussion Papers 1000, Board of Governors of the Federal Reserve System (U.S.).
    9. Bouakez, Hafedh & Cardia, Emanuela & Ruge-Murcia, Francisco, 2014. "Sectoral price rigidity and aggregate dynamics," European Economic Review, Elsevier, vol. 65(C), pages 1-22.
    10. Yaniv Yedid-Levi, 2016. "Why does employment in all major sectors move together over the business cycle?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 131-156, October.
    11. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005. "Can Long-Run Restrictions Identify Technology Shocks?," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1237-1278, December.
    12. Lawrence J. Christiano & Roberto Motto & Massimo Rostagno, 2014. "Risk Shocks," American Economic Review, American Economic Association, vol. 104(1), pages 27-65, January.
    13. DiCecio, Riccardo, 2009. "Sticky wages and sectoral labor comovement," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 538-553, March.
    14. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    15. Eichenbaum, Martin & Fisher, Jonas D.M., 2007. "Estimating the frequency of price re-optimization in Calvo-style models," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2032-2047, October.
    16. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    17. Hess T. Chung & Michael T. Kiley & Jean-Philippe Laforte, 2010. "Documentation of the Estimated, Dynamic, Optimization-based (EDO) model of the U.S. economy: 2010 version," Finance and Economics Discussion Series 2010-29, Board of Governors of the Federal Reserve System (U.S.).
    18. Ikeda, Daisuke, 2015. "Optimal inflation rates with the trending relative price of investment," Journal of Economic Dynamics and Control, Elsevier, vol. 56(C), pages 20-33.
    19. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-417, June.
    20. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2007. "Assessing Structural VARs," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 1-106, National Bureau of Economic Research, Inc.
    21. Beaudry, Paul & Moura, Alban & Portier, Franck, 2015. "Reexamining the cyclical behavior of the relative price of investment," Economics Letters, Elsevier, vol. 135(C), pages 108-111.
    22. Chris Woolston, 2014. "Rice," Nature, Nature, vol. 514(7524), pages 49-49, October.
    23. Edge, Rochelle M. & Kiley, Michael T. & Laforte, Jean-Philippe, 2008. "Natural rate measures in an estimated DSGE model of the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2512-2535, August.
    24. Horvath, Michael, 2000. "Sectoral shocks and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 69-106, February.
    25. Carlos Carvalho & Fernanda Nechio, 2016. "Factor Specificity and Real Rigidities," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 208-222, October.
    26. Zheng Liu & John Fernald & Susanto Basu, 2012. "Technology Shocks in a Two-Sector DSGE Model," 2012 Meeting Papers 1017, Society for Economic Dynamics.
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    Citations

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    Cited by:

    1. Fève, Patrick & Sanchez, Pablo Garcia & Moura, Alban & Pierrard, Olivier, 2021. "Costly default and skewed business cycles," European Economic Review, Elsevier, vol. 132(C).
    2. 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.
    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. 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.
    5. Alban Moura, 2020. "Total factor productivity and the measurement of neutral technology," BCL working papers 143, Central Bank of Luxembourg.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. Fève, Patrick & Sanchez, Pablo Garcia & Moura, Alban & Pierrard, Olivier, 2021. "Costly default and skewed business cycles," European Economic Review, Elsevier, vol. 132(C).
    11. Alban Moura, 2020. "LED: An estimated DSGE model of the Luxembourg economy for policy analysis," BCL working papers 147, Central Bank of Luxembourg.
    12. Cho, Daeha & Kim, Kwang Hwan, 2022. "Inefficient relative price fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    13. 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).
    14. Moura, Alban, 2021. "Are neutral and investment-specific technology shocks correlated?," European Economic Review, Elsevier, vol. 139(C).
    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. Alban Moura & Olivier Pierrard, 2022. "How well do DSGE models with real estate and collateral constraints fit the data?," BCL working papers 168, Central Bank of Luxembourg.
    17. 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.
    18. 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.
    19. 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.
    20. Daeha Cho & Kwang Hwan Kim, 2020. "Inefficient Relative Price Fluctuations," Working papers 2020rwp-171, Yonsei University, Yonsei Economics Research Institute.
    21. 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).
    22. 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.).

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    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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