IDEAS home Printed from https://ideas.repec.org/a/ijc/ijcjou/y2016q1a1.html
   My bibliography  Save this article

Measuring Potential Growth with an Estimated DSGE Model of Japan’s Economy

Author

Listed:
  • Takuji Fueki

    (Bank of Japan, Indiana University)

  • Ichiro Fukunaga

    (Bank of Japan, International Monetary Fund)

  • Hibiki Ichiue

    (Bank of Japan)

  • Toyoichiro Shirota

    (Bank of Japan)

Abstract

In this paper, we calculate the potential output and the output gap using a Bayesian-estimated DSGE model of Japan’s economy. For bridging the gap with conventional measures, we define our measure of potential output as a component of the efficient output generated only by persistent growth rate shocks. Our potential growth displays a high degree of smoothness and moves closely with conventional measures. Moreover, the output gap from our measure of potential output shows better forecasting performance for inflation—in particular, at short horizons—than other measures of output gap.

Suggested Citation

  • Takuji Fueki & Ichiro Fukunaga & Hibiki Ichiue & Toyoichiro Shirota, 2016. "Measuring Potential Growth with an Estimated DSGE Model of Japan’s Economy," International Journal of Central Banking, International Journal of Central Banking, vol. 12(1), pages 1-32, March.
  • Handle: RePEc:ijc:ijcjou:y:2016:q:1:a:1
    as

    Download full text from publisher

    File URL: http://www.ijcb.org/journal/ijcb16q1a1.pdf
    Download Restriction: no

    File URL: http://www.ijcb.org/journal/ijcb16q1a1.htm
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kiley, Michael T., 2013. "Output gaps," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 1-18.
    2. Nakashima, Kiyotaka, 2006. "The Bank of Japan's operating procedures and the identification of monetary policy shocks: A reexamination using the Bernanke-Mihov approach," Journal of the Japanese and International Economies, Elsevier, vol. 20(3), pages 406-433, September.
    3. Hara, Naoko & Ichiue, Hibiki, 2011. "Real-time analysis on Japan's labor productivity," Journal of the Japanese and International Economies, Elsevier, vol. 25(2), pages 107-130, June.
    4. Fumio Hayashi & Edward C. Prescott, 2004. "The 1990s in Japan: a lost decade," Chapters, in: Paolo Onofri (ed.), The Economics of an Ageing Population, chapter 2, Edward Elgar Publishing.
    5. Andrew T. Levin & Alexei Onatski & John Williams & Noah M. Williams, 2006. "Monetary Policy under Uncertainty in Micro-Founded Macroeconometric Models," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 229-312, National Bureau of Economic Research, Inc.
    6. 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.).
    7. Hibiki Ichiue & Takushi Kurozumi & Takeki Sunakawa, 2013. "Inflation Dynamics And Labor Market Specifications: A Bayesian Dynamic Stochastic General Equilibrium Approach For Japan'S Economy," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 273-287, January.
    8. Fueki, Takuji & Kawamoto, Takuji, 2009. "Does information technology raise Japan's productivity?," Japan and the World Economy, Elsevier, vol. 21(4), pages 325-336, December.
    9. Susanto Basu & John G. Fernald, 2009. "What do we know (and not know) about potential output?," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 187-214.
    10. Yasuo Hirose & Takushi Kurozumi, 2012. "Do Investment-Specific Technological Changes Matter For Business Fluctuations? Evidence From Japan," Pacific Economic Review, Wiley Blackwell, vol. 17(2), pages 208-230, May.
    11. Takuji Fueki & Ichiro Fukunaga & Hibiki Ichiue & Toyoichiro Shirota, 2016. "Measuring Potential Growth with an Estimated DSGE Model of Japan’s Economy," International Journal of Central Banking, International Journal of Central Banking, vol. 12(1), pages 1-32, March.
    12. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2007. "Non‐stationary Hours in a DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1357-1373, September.
    13. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2013. "Is There a Trade-Off between Inflation and Output Stabilization?," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 1-31, April.
    14. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    15. Malin Adolfson & Stefan Laséen & Jesper Lindé & Lars E.O. Svensson, 2011. "Optimal Monetary Policy in an Operational Medium‐Sized DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(7), pages 1287-1331, October.
    16. Christiano, Lawrence J. & Trabandt, Mathias & Walentin, Karl, 2010. "DSGE Models for Monetary Policy Analysis," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 7, pages 285-367, Elsevier.
    17. Robert E. Hall, 2005. "Separating the business cycle from other economic fluctuations," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, issue Aug, pages 133-179.
    18. Peter Ireland & Scott Schuh, 2008. "Productivity and U.S. Macroeconomic Performance: Interpreting the Past and Predicting the Future with a Two-Sector Real Business Cycle Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 473-492, July.
    19. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2009. "New Keynesian Models: Not Yet Useful for Policy Analysis," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 242-266, January.
    20. 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.
    21. Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2007. "Documentation of the Research and Statistics Division’s estimated DSGE model of the U.S. economy: 2006 version," Finance and Economics Discussion Series 2007-53, Board of Governors of the Federal Reserve System (U.S.).
    22. Whelan, Karl, 2003. "A Two-Sector Approach to Modeling U.S. NIPA Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(4), pages 627-656, August.
    23. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-362, June.
    24. Gregory de Walque & Frank Smets & Rafael Wouters, 2006. "Firm-Specific Production Factors in a DSGE Model with Taylor Price Setting," International Journal of Central Banking, International Journal of Central Banking, vol. 2(3), September.
    25. 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.).
    26. Sugo, Tomohiro & Ueda, Kozo, 2008. "Estimating a dynamic stochastic general equilibrium model for Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(4), pages 476-502, December.
    27. Ricardo J. Caballero & Takeo Hoshi & Anil K. Kashyap, 2008. "Zombie Lending and Depressed Restructuring in Japan," American Economic Review, American Economic Association, vol. 98(5), pages 1943-1977, December.
    28. Shioji, Etsuro, 2000. "Identifying Monetary Policy Shocks in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 14(1), pages 22-42, March.
    29. Günter Coenen & Frank Smets & Igor Vetlov, 2009. "Estimation of the Euro Area Output Gap Using the NAWM," Bank of Lithuania Working Paper Series 5, Bank of Lithuania.
    30. Naoko Hara & Naohisa Hirakata & Yusuke Inomata & Satoshi Ito & Takuji Kawamoto & Takushi Kurozumi & Makoto Minegishi & Izumi Takagawa, 2006. "The New Estimates of Output Gap and Potential Growth Rate," Bank of Japan Review Series 06-E-3, Bank of Japan.
    31. Rotemberg, Julio J, 1982. "Sticky Prices in the United States," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1187-1211, December.
    32. Frederic S. Mishkin, 2007. "Estimating potential output: a speech at the Conference on Price Measurement for Monetary Policy, Federal Reserve Bank of Dallas, Dallas, Texas, May 24, 2007," Speech 299, Board of Governors of the Federal Reserve System (U.S.).
    33. Takuji Fueki & Ichiro Fukunaga & Hibiki Ichiue & Toshitaka Sekine & Toyoichiro Shirota, 2010. "Measuring Potential Growth in Japan: Some Practical Caveats," Bank of Japan Review Series 10-E-1, Bank of Japan.
    34. 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.
    35. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    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. Yasuo Hirose & Takushi Kurozumi, 2012. "Do Investment-Specific Technological Changes Matter For Business Fluctuations? Evidence From Japan," Pacific Economic Review, Wiley Blackwell, vol. 17(2), pages 208-230, May.
    2. Sala, Luca & Söderström, Ulf & Trigari, Antonella, 2010. "The Output Gap, the Labor Wedge, and the Dynamic Behavior of Hours," CEPR Discussion Papers 8005, C.E.P.R. Discussion Papers.
    3. Inaba, Masaru & Nutahara, Kengo & Shirai, Daichi, 2022. "What drives fluctuations of labor wedge and business cycles? Evidence from Japan," Journal of Macroeconomics, Elsevier, vol. 72(C).
    4. Andrei Polbin & Sergey Drobyshevsky, 2014. "Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 166P, pages 156-156.
    5. YANO Koiti, 2010. "Time-varying Analysis of Dynamic Stochastic General Equilibrium Models Based on Sequential Monte Carlo Methods," ESRI Discussion paper series 231, Economic and Social Research Institute (ESRI).
    6. Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Namba, Ryoichi & Nishiyama, Shin-Ichi, 2015. "Estimating a DSGE model for Japan in a data-rich environment," Journal of the Japanese and International Economies, Elsevier, vol. 36(C), pages 25-55.
    7. Hibiki Ichiue & Takushi Kurozumi & Takeki Sunakawa, 2013. "Inflation Dynamics And Labor Market Specifications: A Bayesian Dynamic Stochastic General Equilibrium Approach For Japan'S Economy," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 273-287, January.
    8. Igor Vetlov & Tibor Hlédik & Magnus Jonsson & Henrik Kucsera & Massimiliano Pisani, 2011. "Potential Output in DSGE Models," Bank of Lithuania Working Paper Series 9, Bank of Lithuania.
    9. Pelin Ilbas & Øistein Røisland & Tommy Sveen, 2013. "The Influence of the Taylor rule on US monetary policy," Working Paper Research 241, National Bank of Belgium.
    10. Hirose, Yasuo, 2020. "An Estimated Dsge Model With A Deflation Steady State," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1151-1185, July.
    11. IIBOSHI Hirokuni, 2012. "Measuring the Effects of Monetary Policy: A DSGE-DFM Approach," ESRI Discussion paper series 292, Economic and Social Research Institute (ESRI).
    12. Görtz, Christoph & Tsoukalas, John, 2011. "News and financial intermediation in aggregate and sectoral fluctuations," MPRA Paper 38986, University Library of Munich, Germany, revised Mar 2012.
    13. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2013. "Is There a Trade-Off between Inflation and Output Stabilization?," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 1-31, April.
    14. repec:pra:mprapa:38985 is not listed on IDEAS
    15. John B. Taylor & Volker Wieland, 2012. "Surprising Comparative Properties of Monetary Models: Results from a New Model Database," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 800-816, August.
    16. Jordi Galí & Frank Smets & Rafael Wouters, 2012. "Unemployment in an Estimated New Keynesian Model," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 329-360.
    17. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    18. Davide Debortoli & Jinill Kim & Jesper Lindé & Ricardo Nunes, 2019. "Designing a Simple Loss Function for Central Banks: Does a Dual Mandate Make Sense?," The Economic Journal, Royal Economic Society, vol. 129(621), pages 2010-2038.
    19. Inoue, Atsushi & Kuo, Chun-Hung & Rossi, Barbara, 2020. "Identifying the sources of model misspecification," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 1-18.
    20. Born, Benjamin & Peter, Alexandra & Pfeifer, Johannes, 2013. "Fiscal news and macroeconomic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2582-2601.
    21. 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.

    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    Statistics

    Access and download statistics

    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:ijc:ijcjou:y:2016:q:1:a:1. 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: Bank for International Settlements (email available below). General contact details of provider: https://www.ijcb.org/ .

    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.