A pilot effort was undertaken to experiment with a method of collecting parallel time series data for expectations and popular models and theories of institutional stock market participants in the United States and Japan 1989-91, covering the period before and after the dramatic and sudden halving of Japanese stock prices. Substantial variability within countries through time in the responses and dramatic differences across countries in expectations (even expectations for the same country) were found. There are significant research opportunities in expanded data collection along these lines.
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Length: 51 pages Date of creation: Mar 1992 Date of revision: Publication status: Published in Review of Economics and Statistics (1996), 78(1): 156-164 Handle: RePEc:cwl:cwldpp:1012
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data
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David M. Cutler & James M. Poterba & Lawrence H. Summers, 1989.
"What Moves Stock Prices?,"
NBER Working Papers
2538, National Bureau of Economic Research, Inc.
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David H. Cutler & James M. Poterba & Lawrence H. Summers, 1988.
"What Moves Stock Prices?,"
Working papers
487, Massachusetts Institute of Technology (MIT), Department of Economics.