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ESTIMATING THE INDIVIDUAL-SPECIFIC PREDICTORS OF VOLUNTEERS IN SOUTH AFRICA

机译:估计南非自愿者的个人预测

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Volunteerism is topical in applied economics in developed economies, especially in assisting to understand its contributions to the economy. However, even though the contribution of volunteerism to the economy may be remarkable and is receiving more attention in many countries, little research has been done on this topic in developing countries. This paper uses a Logit regression with volunteer work being an independent variable to examine the correlates of volunteerism. Explanatory variables are gender, age group, population group, highest education level, own business, work status, and income category. The results show that all estimated coefficients have expected signs. Females are more likely to do volunteer work more than males, older people are more likely to participate in voluntary activities than middle age and younger ones. Results also reveal that the higher the level of education, the more likely for the person to do volunteer work. This is the same with income, the higher the income individuals earn, and the more likely they are to do volunteer work.
机译:志愿服务在发达经济体的应用经济学中尤为重要,尤其是在帮助理解其对经济的贡献方面。但是,尽管志愿服务对经济的贡献可能非常显着,并且在许多国家受到越来越多的关注,但在发展中国家,有关此主题的研究很少。本文使用Logit回归(以志愿者工作为独立变量)来检验志愿者行为的相关性。解释变量是性别,年龄组,人口组,最高学历,自己的企业,工作状况和收入类别。结果表明,所有估计的系数均具有预期的符号。女性比男性更有可能从事志愿工作,与中年和年轻人相比,老年人更有可能参加志愿活动。结果还表明,受教育程度越高,该人从事志愿工作的可能性就越大。收入也一样,个人收入越高,他们从事志愿工作的可能性就越大。

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