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AS-AD Curves: An Analysis Using the BQ and OLS Methods

Author

Listed:
  • Wan, Cihang
  • Ji, Yangyang
  • Luo, Youliang
  • Zhang, Tianyu
Abstract
The demand and supply shocks in the U.S. and China are analyzed using the Blanchard and Quah (BQ) and ordinary least squares (OLS) methods. For the U.S. data, the aggregate supply (AS) curve has a positive slope, whereas the aggregate demand (AD) curve has a negative slope. However, the two methods yield inverse results when data from China are analyzed. In the BQ method, the AS curve slope is negative and AD curve slope is positive, indicating a “slope puzzle.” In the OLS method, no “slope puzzle” is present.

Suggested Citation

  • Wan, Cihang & Ji, Yangyang & Luo, Youliang & Zhang, Tianyu, 2022. "AS-AD Curves: An Analysis Using the BQ and OLS Methods," MPRA Paper 113437, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:113437
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    File URL: https://mpra.ub.uni-muenchen.de/114203/1/MPRA_paper_113437.pdf
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    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. Neville Francis & Valerie A. Ramey, 2009. "Measures of per Capita Hours and Their Implications for the Technology-Hours Debate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1071-1097, September.
    3. Karel Mertens & Morten O. Ravn, 2013. "The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States," American Economic Review, American Economic Association, vol. 103(4), pages 1212-1247, June.
    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. Ramey, Valerie A & Francis, Neville, 2002. "Is The Technology-Driven Real Business Cycle Hypothesis Dead? Shocks and Aggregate Fluctuations Revisted," University of California at San Diego, Economics Working Paper Series qt6x80k3nx, Department of Economics, UC San Diego.
    6. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
    7. Fernald, John G., 2007. "Trend breaks, long-run restrictions, and contractionary technology improvements," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2467-2485, November.
    8. 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.
    9. Cho, Dongchul, 2012. "Aggregate demand gap based on a simple structural VAR model," Economics Letters, Elsevier, vol. 114(2), pages 228-234.
    10. Sen Zhang & Yangyang Ji & Tianye Lin, 2019. "The relative price of investment goods, the price level, and the "slope puzzle"," CEMA Working Papers 609, China Economics and Management Academy, Central University of Finance and Economics.
    11. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
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    More about this item

    Keywords

    slope puzzle; BQ method; OLS;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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