The DOI matches its Crossref record.
How Big Is the Random Walk in GNP?
Abstract
This paper presents a measure of the persistence of fluctuations in GNP based on the variance of its long differences. That measure finds little long-term persistence in GNP. Previous research on this question found a great deal of persistence in GNP, suggesting models such as a random walk. A reconciliation of this paper's results with previous research shows that conventional criteria for time-series model building can produce misleading estimates of persistence.
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Citations
Cited by
Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement
Hodrick, R. J. (1992) · Review of Financial Studies · doi:10.1093/rfs/5.3.351 · Cited by 1,523
The Dog That Did Not Bark: A Defense of Return Predictability
Cochrane, J. H. (2008) · Review of Financial Studies · doi:10.1093/rfs/hhm046 · Cited by 1,227
Self-citationRandom walks and market efficiency tests of Latin American emerging equity markets: A revisit
Ojah, K., & Karemera, D. (1999) · Financial Review · doi:10.1111/j.1540-6288.1999.tb00454.x · Cited by 161
The Long-run Behavior of Velocity: The institutional approach revisited
Bordo, M. D., & Jonung, L. (1990) · Journal of Policy Modeling · doi:10.1016/0161-8938(90)90026-b · Cited by 75
Metadata
- Authors
- Cochrane, J. H.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 1988-10
- Volume
- 96
- Issue
- 5
- Pages
- 893-920
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W1967031021
- Cited by
- 1,258
- References
- 0
- FWCI
- 112.01
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.