The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Knowledge Transfers from Multinational to Domestic Firms: Evidence from Worker Mobility
Abstract
Labor turnover is a commonly cited mechanism for the transmission of technology from multinational to domestic firms. Using a matched establishment-worker database from Brazil, I present evidence consistent with positive multinational wage spillovers through worker mobility. When workers leave multinationals and are rehired at domestic establishments, continuing-workers' wages increase. To my knowledge, this avenue for wage spillovers has not previously been explored. The paper also investigates where spillovers occur and how they are absorbed to demonstrate heterogeneous impacts. Higher-skilled former multinational workers are better able to transfer information, and higher-skilled incumbent domestic workers are better able to absorb information.
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Cites
Export Versus FDI with Heterogeneous Firms
Helpman, E., Melitz, M. J., & Yeaple, S. R. (2004) · American Economic Review · doi:10.1257/000282804322970814 · Cited by 4,030
Javorcik, B. S. (2004) · American Economic Review · doi:10.1257/0002828041464605 · Cited by 2,950
A simple model of firm heterogeneity, international trade, and wages
Yeaple, S. R. (2005) · Journal of International Economics · doi:10.1016/j.jinteco.2004.01.001 · Cited by 966
Trade, Foreign Direct Investment, and International Technology Transfer: A Survey
Saggi, K. (2002) · The World Bank Research Observer · doi:10.1093/wbro/17.2.191 · Cited by 732
Cited by
The Role of Government in the Market for Electric Vehicles: Evidence from China
Li, S., Zhu, X., Ma, Y., Zhang, F., & Zhou, H. (2022) · Journal of Policy Analysis and Management · doi:10.1002/pam.22362 · Cited by 108
Ivus, O., Park, W. G., & Saggi, K. (2017) · Journal of International Business Studies · doi:10.1057/s41267-017-0100-1 · Cited by 53
Metadata
- Authors
- Poole, J. P.
- Venue
- Review of Economics and Statistics
- Publisher
- MIT Press - Journals
- Published
- 2013-05
- Volume
- 95
- Issue
- 2
- Pages
- 393-406
- ISSN
- 0034-6535 (ISSN-L)
- 1530-9142
- OpenAlex
- W2163351227
- Cited by
- 280
- References
- 4
- FWCI
- 44.00
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
