Expectations and Forecasting during the Great Depression: Real-Time Evidence from the Business Press
Gabriel Mathy () and
Herman Stekler
No 2016-011, Working Papers from The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting
Abstract:
How was the Great Depression viewed in real time? This paper yields a new perspective on this question by quantifying the qualitative statements of economic analysts in the business press and at the Federal Reserve Board. We compare the statements of economic analysts about current and future conditions to what actually happened to the American economy in the Great Depression. While Depression-era economic forecasters were able to accurately assess what was happening contemporaneously in the economy, forecasters were persistently optimistic that “the corner had been turned” and that a strong recovery was imminent even as the economy continued to decline. This optimism was based on the use of analogies and rules of thumb which were no longer applicable.
Keywords: Great Depression; Qualitative Forecasts; Business Expectations (search for similar items in EconPapers)
Pages: 33 pages
Date: 2016-11
New Economics Papers: this item is included in nep-his and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
https://www2.gwu.edu/~forcpgm/2016-011.pdf First version, 2016 (application/pdf)
Related works:
Journal Article: Expectations and forecasting during the Great Depression: Real-time evidence from the business press (2017) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gwc:wpaper:2016-011
Access Statistics for this paper
More papers in Working Papers from The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting Contact information at EDIRC.
Bibliographic data for series maintained by GW Economics Department ().