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Disaggregating and Explaining Corporate Political Activity: Domestic and Foreign Corporations in National Politics
Abstract
Corporate political activity is usually operationalized and analyzed as financial contributions to candidates or political parties through political action committees (PACs). Very little attention has been paid to other dimensions, such as lobbying, in a systematic way. On a theoretical level we address the issue of how to conceive of PAC contributions, lobbying, and other corporate activities, such as charitable giving, in terms of the strategic behavior of corporations and the implications of “foreignness” for the different types of corporate political activity. On an empirical level we examine the political activities of Fortune 500 firms, along with an oversampling of U.S. affiliates of large foreign investors for the 1987–88 election cycle.
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Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Cited by
Leech, B. L. (2010) · The Oxford Handbook of American Political Parties and Interest Groups · doi:10.1093/oxfordhb/9780199542628.003.0028 · Cited by 91
Metadata
- Authors
- Hansen, W. L., & Mitchell, N. J.
- Venue
- American Political Science Review
- Publisher
- Cambridge University Press (CUP)
- Published
- 2000-12
- Volume
- 94
- Issue
- 4
- Pages
- 891-903
- ISSN
- 0003-0554 (ISSN-L)
- 1537-5943
- OpenAlex
- W2077332902
- Cited by
- 365
- References
- 1
- FWCI
- 9.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hansen, W. L., & Mitchell, N. J. (2000). Disaggregating and Explaining Corporate Political Activity: Domestic and Foreign Corporations in National Politics. American Political Science Review. https://doi.org/10.2307/2586214
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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.
