2017
DOI: 10.1007/s11266-017-9828-2
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Whether and How Much to Give: Uncovering the Contrasting Determinants of the Decisions of Whether and How Much to Give to Charity with Two-Stage Alternatives to the Prevailing Tobit Model

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Cited by 7 publications
(13 citation statements)
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“…Gender is not related to the probability of doing pro bono but matters for the hours invested: women who do pro bono devote fewer hours than their male colleagues ( b = −17.547, p < 0.05). Similar gender differences between participation and extent of involvement have been observed in studies of charitable giving that apply two‐stage models (e.g., Forbes & Zampelli, 2011; Petrovski, 2017). We also find that the different groupings of legal fields are not related to the probability of doing pro bono but influence hours invested.…”
Section: Resultssupporting
confidence: 59%
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“…Gender is not related to the probability of doing pro bono but matters for the hours invested: women who do pro bono devote fewer hours than their male colleagues ( b = −17.547, p < 0.05). Similar gender differences between participation and extent of involvement have been observed in studies of charitable giving that apply two‐stage models (e.g., Forbes & Zampelli, 2011; Petrovski, 2017). We also find that the different groupings of legal fields are not related to the probability of doing pro bono but influence hours invested.…”
Section: Resultssupporting
confidence: 59%
“…Scholars describe the logic of sample selection bias as requiring a two‐stage approach (Forbes & Zampelli, 2011; Petrovski, 2017; Wooldridge, 2010). Determining whether or not an observation in an overall population appears in a final representative sample is the first stage and modeling the relation between the hypothesized dependent and independent variables in the final sample is the second stage (Certo et al, 2016).…”
Section: Methodsmentioning
confidence: 99%
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“…Furthermore, WGI provided by Gallup only concerns the frequencies of donating, volunteering, and helping. It is obvious that the frequency of donation is quite different from the amount of money donated (Petrovski, 2017). For example, Apinunmahakul (2014) reported that in 2011 the Thailand participants averagely gave less money than the participants in United States, but in Gallup’s WGI report the donation percentage score of Thailand (85%) was higher than that of the United States (65%).…”
Section: Discussionmentioning
confidence: 99%
“…The decision to give or not may differ from the decision how much to give. For example, financial considerations are likely to be more decisive for amounts donated than for the decision to make a donation (Petrovski, 2017). Therefore, we deploy separate multilevel Probit regression models on the probability to donate and multilevel linear regression models on the amount donated conditional on donating.…”
Section: Analytical Strategymentioning
confidence: 99%