1997
DOI: 10.2307/2111714
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The Political Economy of Corporate Taxation

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Cited by 25 publications
(25 citation statements)
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References 44 publications
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“…In an aggregate analysis of effective corporate tax rates for the period 1954 to 1987, Quinn and Shapiro use as an independent variable, the proportion of PACs sponsored by corporations, and find that the larger the proportion of business PACs, the lower the aggregate taxes on business (1991,862). In contrast, Williams and Collins (1997) present results showing that business PACs as a whole do not influence taxes. They argue that business is not a unified political actor and is instead characterized by industries and firms seeking particularistic interests: "Many changes in the corporate tax code have a significant distributive component.…”
Section: Businesscontrasting
confidence: 90%
“…In an aggregate analysis of effective corporate tax rates for the period 1954 to 1987, Quinn and Shapiro use as an independent variable, the proportion of PACs sponsored by corporations, and find that the larger the proportion of business PACs, the lower the aggregate taxes on business (1991,862). In contrast, Williams and Collins (1997) present results showing that business PACs as a whole do not influence taxes. They argue that business is not a unified political actor and is instead characterized by industries and firms seeking particularistic interests: "Many changes in the corporate tax code have a significant distributive component.…”
Section: Businesscontrasting
confidence: 90%
“…9 Nonetheless, we still do not understand completely what role political influence plays in determining why some firms pay lower taxes. Studies of aggregated PAC spending and taxes have turned up mixed results (Quinn and Shapiro 1991;Williams and Collins 1997). 10 The absence of explicit data on lobbying has meant that existing firm-level studies proxy political influence with second-best measures of firms' political activities.…”
Section: Related Literaturementioning
confidence: 99%
“… Exceptions occur when analysts estimate VAR models and VECMs and report impulse response functions and variance decomposition. See, for example, Williams (1990) and Williams and Collins (1998). …”
mentioning
confidence: 99%