The Importance of Time‐Series Extrapolation for Macroeconomic Expectations
AbstractThis paper presents a simple experiment on how laypeople form macroeconomic expectations. Subjects have to forecast inflation and GDP growth. By varying the information provided in different treatments, we can assess the importance of historical time-series information versus information acquired outside the experimental setting such as knowledge of expert forecasts. It turns out that the availability of historical data has a dominant impact on expectations and wipes out the influence of outside-lab information completely. Consequently, backward-looking behavior can be identified unambiguously as a decisive factor in expectation formation
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Bibliographic InfoArticle provided by Verein für Socialpolitik in its journal German Economic Review.
Volume (Year): 13 (2012)
Issue (Month): 2 (05)
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Other versions of this item:
- Michael W.M. Roos & Ulrich Schmidt, 2011. "The importance of time series extrapolation for macroeconomic expectations," Kiel Working Papers 1723, Kiel Institute for the World Economy.
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
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