The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Trade Openness and Volatility
Abstract
This paper examines the mechanisms through which output volatility is related to trade openness using an industry-level panel data set of manufacturing production and trade. The main results are threefold. First, sectors more open to international trade are more volatile. Second, trade is accompanied by increased specialization. These two forces imply increased aggregate volatility. Third, sectors that are more open to trade are less correlated with the rest of the economy, an effect that acts to reduce overall volatility. The point estimates indicate that each of the three effects has an appreciable impact on aggregate volatility. Added together they imply that the relationship between trade openness and overall volatility is positive and economically significant.
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Citations
Cites
Anderson, J. E., & van Wincoop, E. (2004) · Journal of Economic Literature · doi:10.1257/0022051042177649 · Cited by 2,524
Cited by
Policy uncertainty, irreversibility, and cross-border flows of capital
Julio, B., & Yook, Y. (2016) · Journal of International Economics · doi:10.1016/j.jinteco.2016.08.004 · Cited by 473
Firms, Destinations, and Aggregate Fluctuations
(2014) · Econometrica · doi:10.3982/ecta11041 · Cited by 369
Metadata
- Authors
- Giovanni, J. D., & Levchenko, A. A.
- Venue
- Review of Economics and Statistics
- Publisher
- MIT Press
- Published
- 2009-08
- Volume
- 91
- Issue
- 3
- Pages
- 558-585
- ISSN
- 0034-6535 (ISSN-L)
- 1530-9142
- OpenAlex
- W3106847743
- Cited by
- 387
- References
- 1
- FWCI
- 56.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- Giovanni, J. D., & Levchenko, A. A. (2009). Trade Openness and Volatility. Review of Economics and Statistics. https://doi.org/10.1162/rest.91.3.558
Data sources
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.
