2002
DOI: 10.1016/s0167-2681(01)00232-3
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Crowding-out voluntary contributions to public goods

Abstract: We test the null hypothesis that involuntary transfers for the provision of a public good will completely crowd out voluntary transfers against the warm-glow hypothesis that crowding-out will be incomplete because individuals care about giving. Our design differs from the related design used by Andreoni in considering two levels of the involuntary transfer and a wider range of contribution possibilities, and in mixing groups every period instead of every four periods. We analyse the data with careful attention… Show more

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Cited by 68 publications
(48 citation statements)
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“…Thus, there is imperfect crowding-out. In the literature the percentage of crowding is measured as the change in voluntary contributions divided by the change in the tax rate (see Chan et al, 2002). For the low tax treatment we measure (7.5-10.533)/5 = 60.7 percent crowding-out and in the high tax treatment we measure (4.036-10.533)/10 = 65 percent crowding-out.…”
Section: [Table 1 About Here]mentioning
confidence: 99%
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“…Thus, there is imperfect crowding-out. In the literature the percentage of crowding is measured as the change in voluntary contributions divided by the change in the tax rate (see Chan et al, 2002). For the low tax treatment we measure (7.5-10.533)/5 = 60.7 percent crowding-out and in the high tax treatment we measure (4.036-10.533)/10 = 65 percent crowding-out.…”
Section: [Table 1 About Here]mentioning
confidence: 99%
“…We refer to this measure as the lump sum high tax in the high tax treatment and the lump sum low tax in the low tax treatment. Coding the variable in this format allows direct estimation of the percentage of crowding-out (see Chan et al, 2002). If is the dependent variable measuring voluntary contributions and is the lump sum tax rate, with relationship , then is a direct measure of crowding-outthe marginal change in voluntary donations given a marginal change in the tax rate for the respective treatment (rather than a discrete change if we were to use only dummy variables indicating treatment condition).…”
Section: [Table 1 About Here]mentioning
confidence: 99%
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