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Sources of Output Fluctuations during the Interwar Period: Further Evidence on the Causes of the Great Depression

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  • Cecchetti, Stephen G
  • Karras, Georgios

Abstract

This paper decomposes output fluctuations during the 1913 to 1940 period into components resulting from aggregate supply and aggregate demand shocks. We estimate a number of structural models, all of which yield qualitatively similar results. While identification is normally achieved by assuming that aggregate demand shocks have no long-run real effects, we also estimate models that allow demand shocks to permanently affect output. Our findings support the following three conclusions: (1) there was a large negative aggregate demand shock in November 1929, immediately after the stock market crash; (2) aggregate demand shocks are largely responsible for the decline in output through mid-1931; and (3) beginning in mid-1931 there is an aggregate supply collapse that coincides with the onset of severe bank panics. Copyright 1994 by MIT Press.

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  • Cecchetti, Stephen G & Karras, Georgios, 1994. "Sources of Output Fluctuations during the Interwar Period: Further Evidence on the Causes of the Great Depression," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 80-102, February.
  • Handle: RePEc:tpr:restat:v:76:y:1994:i:1:p:80-102
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    1. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328.
    2. Bernanke, Ben S, 1983. "Nonmonetary Effects of the Financial Crisis in Propagation of the Great Depression," American Economic Review, American Economic Association, vol. 73(3), pages 257-276, June.
    3. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    4. Robert J. Gordon & James A. Wilcox, 1978. "Monetarist Interpretations of the Great Depression: An Evaluation and Critique," NBER Working Papers 0300, National Bureau of Economic Research, Inc.
    5. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    6. Frederick R. Macaulay, 1938. "Some Theoretical Problems Suggested by the Movements of Interest Rates, Bond Yields and Stock Prices in the United States since 1856," NBER Books, National Bureau of Economic Research, Inc, number maca38-1.
    7. Hamilton, James D., 1987. "Monetary factors in the great depression," Journal of Monetary Economics, Elsevier, vol. 19(2), pages 145-169, March.
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