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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
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    1. 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.
    2. Kiley, Michael T., 2013. "Output gaps," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 1-18.
    3. 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.
    4. Shioji, Etsuro, 2000. "Identifying Monetary Policy Shocks in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 14(1), pages 22-42, March.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.).
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.).
    29. 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.).
    30. 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.
    31. 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.
    32. 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.).
    33. 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.
    34. 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.
    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.
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    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

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