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

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  • 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
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    File URL: http://www2.ku.edu/~kuwpaper/2009Papers/201302.pdf
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    2. 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.
    3. Campos, Luciano & Casas, Agustín, 2021. "Rara Avis: Latin American populism in the 21st century," European Journal of Political Economy, Elsevier, vol. 70(C).
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    5. 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.
    6. Carolina Pagliacci, 2019. "Are we ignoring supply shocks? A proposal for monitoring cyclical fluctuations," Empirical Economics, Springer, vol. 56(2), pages 445-467, February.
    7. Chen, Wenjuan & Netšunajev, Aleksei, 2016. "On the long-run neutrality of demand shocks," Economics Letters, Elsevier, vol. 139(C), pages 57-60.
    8. Campos, Luciano & Casas, Agustín, 2020. "Populism and income redistribution," Economics Letters, Elsevier, vol. 186(C).
    9. 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.
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    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

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