IDEAS home Printed from https://ideas.repec.org/p/kan/wpaper/201302.html
   My bibliography  Save this paper

What Do We Learn from Blanchard and Quah Decompositions If Aggregate Demand May Not be Long-Run Neutral?

Author

Listed:
  • John W. Keating

    (Department of Economics, The University of Kansas)

Abstract

This paper structurally interprets empirical results obtained with Blanchard and Quah (1989) decompositions of output into permanent and transitory shocks. This is done using assumptions about the qualitative responses of variables to structural shocks that are consistent with many different economic theories. Impulse responses of output to a permanent shock typically behave in a particular way before World War I that is unusual compared to post-World War II responses. Also, permanent shocks typically explain a larger share of output variance in that earlier period. We show these two empirical results provide evidence that a positive (negative) aggregate demand shock had a permanent positive (negative) effect on output in the pre-World War I period. Thus further support is obtained for that hypothesis based on different empirical evidence and less restrictive structural assumptions. Another empirical result is that impulse responses from postwar data are typically qualitatively consistent with the effects of structural shocks from a standard textbook macro model. We show that Blanchard and Quah’s statistical model will obtain impulse responses consistent with a textbook model as the parameter measuring aggregate demand’s long-run output effect is varied over a specific range. That analysis provides a range of nonneutralities for which Blanchard and Quah-style decompositions will mistakenly appear to be correct.

Suggested Citation

  • John W. Keating, 2013. "What Do We Learn from Blanchard and Quah Decompositions If Aggregate Demand May Not be Long-Run Neutral?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201302, University of Kansas, Department of Economics.
  • Handle: RePEc:kan:wpaper:201302
    as

    Download full text from publisher

    File URL: http://www2.ku.edu/~kuwpaper/2009Papers/201302.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    3. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Thomas J. Sargent & Mark W. Watson, 2007. "ABCs (and Ds) of Understanding VARs," American Economic Review, American Economic Association, vol. 97(3), pages 1021-1026, June.
    4. Cooper,Russell, 1999. "Coordination Games," Cambridge Books, Cambridge University Press, number 9780521578967, September.
    5. Inoue, Atsushi & Kilian, Lutz, 2013. "Inference on impulse response functions in structural VAR models," Journal of Econometrics, Elsevier, vol. 177(1), pages 1-13.
    6. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    7. Gamber, Edward N. & Joutz, Frederick L., 1993. "An application of estimating structural vector autoregression models with long-run restrictions," Journal of Macroeconomics, Elsevier, vol. 15(4), pages 723-745.
    8. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
    9. Russell Cooper & Andrew John, 1988. "Coordinating Coordination Failures in Keynesian Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 103(3), pages 441-463.
    10. Olivier J. Blanchard & Lawrence H. Summers, 1986. "Hysteresis and the European Unemployment Problem," NBER Chapters, in: NBER Macroeconomics Annual 1986, Volume 1, pages 15-90, National Bureau of Economic Research, Inc.
    11. Faust, Jon, 1998. "The robustness of identified VAR conclusions about money," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 207-244, December.
    12. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    13. Blanchard, Olivier J. & Summers, Lawrence H., 1987. "Hysteresis in unemployment," European Economic Review, Elsevier, vol. 31(1-2), pages 288-295.
    14. Altig,David E. & Nosal,Ed (ed.), 2009. "Monetary Policy in Low-Inflation Economies," Cambridge Books, Cambridge University Press, number 9780521848503, October.
    15. Cover, James Peery & Enders, Walter & Hueng, C. James, 2006. "Using the Aggregate Demand-Aggregate Supply Model to Identify Structural Demand-Side and Supply-Side Shocks: Results Using a Bivariate VAR," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(3), pages 777-790, April.
    16. Eleonora Granziera & Hyungsik Roger Moon & Frank Schorfheide, 2018. "Inference for VARs identified with sign restrictions," Quantitative Economics, Econometric Society, vol. 9(3), pages 1087-1121, November.
    17. James Tobin, 1993. "Price Flexibility and Output Stability: An Old Keynesian View," Journal of Economic Perspectives, American Economic Association, vol. 7(1), pages 45-65, Winter.
    18. Robert Mundell, 1963. "Inflation and Real Interest," Journal of Political Economy, University of Chicago Press, vol. 71(3), pages 280-280.
    19. Michael D. Bordo & John Landon Lane & Angela Redish, 2004. "Good versus Bad Deflation: Lessons from the Gold Standard Era," NBER Working Papers 10329, National Bureau of Economic Research, Inc.
    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. Milton Friedman, 1961. "The Lag in Effect of Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 69(5), pages 447-447.
    22. Neville Francis & Valerie A. Ramey, 2006. "The Source of Historical Economic Fluctuations: An Analysis Using Long-Run Restrictions," NBER Chapters, in: NBER International Seminar on Macroeconomics 2004, pages 17-73, National Bureau of Economic Research, Inc.
    23. Laurence Ball, 1999. "Aggregate demand and Long-Run Unemployment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 30(2), pages 189-252.
    24. Steven Morling, 2002. "Output Adjustment in Developing Countries: a Structural Var Approach," Discussion Papers Series 307, School of Economics, University of Queensland, Australia.
    25. Chari, V.V. & Kehoe, Patrick J. & McGrattan, Ellen R., 2008. "Are structural VARs with long-run restrictions useful in developing business cycle theory?," Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1337-1352, November.
    26. Faust, Jon & Leeper, Eric M, 1997. "When Do Long-Run Identifying Restrictions Give Reliable Results?," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 345-353, July.
    27. Charles W. Calomiris & R. Glenn Hubbard, 1989. "Price Flexibility, Credit Availability, and Economic Fluctuations: Evidence from the United States, 1894–1909," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 104(3), pages 429-452.
    28. Keating, John W & Nye, John V, 1998. "Permanent and Transitory Shocks in Real Output: Estimates from Nineteenth-Century and Postwar Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(2), pages 231-251, May.
    29. Baxter, Marianne & King, Robert G, 1993. "Fiscal Policy in General Equilibrium," American Economic Review, American Economic Association, vol. 83(3), pages 315-334, June.
    30. Keating, John W. & Nye, John V., 1999. "The Dynamic Effects of Aggregate Demand and Supply Disturbances in the G7 Countries," Journal of Macroeconomics, Elsevier, vol. 21(2), pages 263-278, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mendieta-Muñoz, Ivan, 2017. "On The Interaction Between Economic Growth And Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 21(4), pages 982-1022, June.
    2. Li, Mengheng & Mendieta-Muñoz, Ivan, 2024. "Dynamic hysteresis effects," Journal of Economic Dynamics and Control, Elsevier, vol. 163(C).
    3. Carolina Pagliacci, 2019. "Are we ignoring supply shocks? A proposal for monitoring cyclical fluctuations," Empirical Economics, Springer, vol. 56(2), pages 445-467, February.
    4. Campos, Luciano & Casas, Agustín, 2020. "Populism and income redistribution," Economics Letters, Elsevier, vol. 186(C).
    5. repec:hum:wpaper:sfb649dp2015-043 is not listed on IDEAS
    6. Campos, Luciano & Casas, Agustín, 2021. "Rara Avis: Latin American populism in the 21st century," European Journal of Political Economy, Elsevier, vol. 70(C).
    7. Johannes W. Fedderke, 2022. "Identifying supply and demand shocks in the South African Economy, 1960–2020," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 349-389, September.
    8. Ivan Mendieta-Munoz & Mengheng Li, 2019. "The Multivariate Simultaneous Unobserved Compenents Model and Identification via Heteroskedasticity," Working Paper Series, Department of Economics, University of Utah 2019_06, University of Utah, Department of Economics.
    9. Chen, Wenjuan & Netšunajev, Aleksei, 2016. "On the long-run neutrality of demand shocks," Economics Letters, Elsevier, vol. 139(C), pages 57-60.
    10. John W. Keating, 2013. "Interpreting Permanent Shocks to Output When Aggregate Demand May Not Be Neutral in the Long Run," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 747-756, June.

    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. Keating, John W., 2013. "What do we learn from Blanchard and Quah decompositions of output if aggregate demand may not be long-run neutral?," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 203-217.
    2. John Keating, 2004. "Interpreting Permanent and Transitory Shocks to Output When Aggregate Demand May Not Be Neutral in the Long-run," Econometric Society 2004 North American Summer Meetings 608, Econometric Society.
    3. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    4. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    5. Lutz Kilian, 2013. "Structural vector autoregressions," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 22, pages 515-554, Edward Elgar Publishing.
    6. Keating, John W. & Nye, John V., 1999. "The Dynamic Effects of Aggregate Demand and Supply Disturbances in the G7 Countries," Journal of Macroeconomics, Elsevier, vol. 21(2), pages 263-278, April.
    7. Candelon, Bertrand & Lieb, Lenard, 2013. "Fiscal policy in good and bad times," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
    8. Valcarcel, Victor J. & Wohar, Mark E., 2013. "Changes in the oil price-inflation pass-through," Journal of Economics and Business, Elsevier, vol. 68(C), pages 24-42.
    9. Juvenal, Luciana, 2011. "Sources of exchange rate fluctuations: Are they real or nominal?," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 849-876, September.
    10. Francesco Furlanetto & Ørjan Robstad & Pål Ulvedal & Antoine Lepetit, 2020. "Estimating hysteresis effects," Working Paper 2020/13, Norges Bank.
    11. Francesco Simone Lucidi, 2023. "The misalignment of fiscal multipliers in Italian regions," Regional Studies, Taylor & Francis Journals, vol. 57(10), pages 2073-2086, October.
    12. Chari, V.V. & Kehoe, Patrick J. & McGrattan, Ellen R., 2008. "Are structural VARs with long-run restrictions useful in developing business cycle theory?," Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1337-1352, November.
    13. Dungey, Mardi & Fry, Renée, 2009. "The identification of fiscal and monetary policy in a structural VAR," Economic Modelling, Elsevier, vol. 26(6), pages 1147-1160, November.
    14. Ronayne, David, 2011. "Which Impulse Response Function?," Economic Research Papers 270753, University of Warwick - Department of Economics.
    15. John W. Keating, 2013. "Interpreting Permanent Shocks to Output When Aggregate Demand May Not Be Neutral in the Long Run," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 747-756, June.
    16. Herwartz, Helmut & Plödt, Martin, 2014. "Sign restrictions and statistical identification under volatility breaks -- Simulation based evidence and an empirical application to monetary policy analysis," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100326, Verein für Socialpolitik / German Economic Association.
    17. Ribba, Antonio, 2007. "Permanent disinflationary effects on unemployment in a small open economy: Italy 1979-1995," Economic Modelling, Elsevier, vol. 24(1), pages 66-81, January.
    18. Mayer, Eric & Rüth, Sebastian & Scharler, Johann, 2016. "Total factor productivity and the propagation of shocks: Empirical evidence and implications for the business cycle," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 335-346.
    19. Johannes W. Fedderke, 2022. "Identifying supply and demand shocks in the South African Economy, 1960–2020," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 349-389, September.
    20. John W. Keating, 2013. "Interpreting Permanent Shocks to Output When Aggregate Demand May Not Be Neutral in the Long Run," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 747-756, June.

    More about this item

    Keywords

    vector autoregression; identification assumptions; moving average representations; aggregate demand and supply model; permanent and transitory shocks to output;
    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
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

    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:kan:wpaper:201302. 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: Professor Zongwu Cai (email available below). General contact details of provider: https://edirc.repec.org/data/deuksus.html .

    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.