Wan, Cihang and Ji, Yangyang and Luo, Youliang and Zhang, Tianyu (2022): AS-AD Curves: An Analysis Using the BQ and OLS Methods.
This is the latest version of this item.
Preview |
PDF
MPRA_paper_113437.pdf Download (793kB) | Preview |
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.
Item Type: | MPRA Paper |
---|---|
Original Title: | AS-AD Curves: An Analysis Using the BQ and OLS Methods |
Language: | English |
Keywords: | slope puzzle; BQ method; OLS |
Subjects: | E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles |
Item ID: | 114203 |
Depositing User: | Dr. Yangyang Ji |
Date Deposited: | 16 Aug 2022 17:29 |
Last Modified: | 16 Aug 2022 17:29 |
References: | Blanchard, Olivier Jean, and Danny Quah, 1989. “The Dynamic Effects of Aggregate Demand and Supply Disturbances,” The American Economic Review, 79(4): 655-673. Chang, Chun, Kaiji Chen, Daniel F Waggone, and Tao Zha, 2016. “Trends and Cycles in China’s Macroeconomy,” NBER Macroeconomics Annual, 30(1): 1-84. Cho, Dongchul, 2012. “Aggregate Demand Gap Based on a Simple Structural VAR Model,” Economics Letters, 114 (2): 228–34. Christiano, Lawrence J., Martin Eichenbaum, and Robert Vigfusson, 2003. “What Happens After a Technology Shock?” National Bureau of Economic Research, Working Paper 9819. Cover, James Peery, Walter Enders, and C. James Hueng, 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, 38 (3): 777–90. Fernald, John G, 2007. “Trend Breaks, Long-Run Restrictions, and Contractionary Technology Improvements,” Journal of Monetary Economics, 54 (8): 2467–85. Francis, Neville, and Valerie A. Ramey, 2005. “Is the Technology-Driven Real Business Cycle Hypothesis Dead? Shocks and Aggregate Fluctuations Revisited,” Journal of Monetary Economics, 52 (8): 1379–99. Francis, Neville, and Valerie A. Ramey, 2009. “Measures of Per Capita Hours and Their Implications for the Technology-Hours Debate,” Journal of Money, Credit and Banking, 41 (6): 1071–97. Galí, Jordi, 1992. “How Well Does the IS-LM Model Fit Postwar U.S. Data?”, The Quarterly Journal of Economics 107 (2): 709–38. Galí, Jordi, 1999. “Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?” The American Economic Review, 89 (1): 23. Gao, Shichen, 2010. “The Structure of China’s Economic Fluctuations and its Policy Implications,” The Journal of World Economy(in Chinese), (9): 122-133. Gamber, Edward N, 1996. “Empirical Estimates of the Short-Run Aggregate Supply and Demand Curves for the Post-War U. S. Economy,” Southern Economic Journal, 62 (4): 856–72. Gong, Min, and Wenbo Li. 2007. “Aggregate Supply and Demand Impact Analysis of China's Economic Fluctuations,” Economic Research Journal(in Chinese), No. 11: 32–44. Jordà, Òscar, 2005. “Estimation and Inference of Impulse Responses by Local Projections,” The American Economic Review, 95 (1): 161–82. King, Robert G., Charles I. Plosser, James H. Stock, and Mark W. Watson, 1991. “Stochastic Trends and Economic Fluctuations,” American Economic Review 81 (4): 819–40. Mertens, Karel, and Morten O. Ravn. 2013. "The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States." American Economic Review, 103 (4): 1212-47 Ramey, Valerie A, 2016. “Macroeconomic Shocks and Their Propagation,” In Handbook of macroeconomics, vol. 2, 71-162. Elsevier. Shapiro, Matthew D., and Mark W. Watson, 1988. “Sources of Business Cycle Fluctuations”. NBER Macroeconomics Annual, 3: 111–48. Spencer, David E, 1996. “Interpreting the Cyclical Behavior of the Price Level in the U. S,” Southern Economic Journal, 63 (1): 95–105. Xu, Gao, 2008. “The Slope Puzzle: an Estimation of China's Short-Term Aggregate Supply/Demand Curve”, The Journal of World Economy(in Chinese), (1):47-56. Zhang Sen, Yangyang Ji, and 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. Zhu, Zixiang, and Xiang Deng, 2017. “A Revisit of China's Economic Fluctuations From the. Perspective of Time-varying Analysis,” The Journal of World Economy(in Chinese), 40(7): 3-27. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/114203 |
Available Versions of this Item
-
AS-AD Curves: An Analysis Using the BQ and OLS Methods. (deposited 23 Jun 2022 13:23)
- AS-AD Curves: An Analysis Using the BQ and OLS Methods. (deposited 16 Aug 2022 17:29) [Currently Displayed]