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  • 匿名
关注:1 2013-05-23 12:21

求翻译:The independent variables used in the logistic regression modelling were faculty or major discipline of study (MAJ), sex, household type (FAM), age, education (EDU), usual occupation (OCC), current employment status (WORK), workforce experience (EXP), income (INC) and risk preference (RSK). Table 6 indicates how the variables were constructed and their a priori expected signs. Most of the variables are expected a priori to have positive signs, i.e. the higher the level of education gained, the higher the expected level of financial literacy. For sex and WORK, however, it is not possible to have a prior expectation of the sign of the variable. Moreover, the risk preference questions were scored so that less risk-averse respondents scored lower in aggregate than more risk-averse people. A negative sign of this variable is thus expected. People with high aggregate risk preference scores are likely to have less experience, knowledge and confidence in financial matters. Thus, a high score in this factor will tend to depress the financial skills and knowledge score.是什么意思?

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The independent variables used in the logistic regression modelling were faculty or major discipline of study (MAJ), sex, household type (FAM), age, education (EDU), usual occupation (OCC), current employment status (WORK), workforce experience (EXP), income (INC) and risk preference (RSK). Table 6 indicates how the variables were constructed and their a priori expected signs. Most of the variables are expected a priori to have positive signs, i.e. the higher the level of education gained, the higher the expected level of financial literacy. For sex and WORK, however, it is not possible to have a prior expectation of the sign of the variable. Moreover, the risk preference questions were scored so that less risk-averse respondents scored lower in aggregate than more risk-averse people. A negative sign of this variable is thus expected. People with high aggregate risk preference scores are likely to have less experience, knowledge and confidence in financial matters. Thus, a high score in this factor will tend to depress the financial skills and knowledge score.
问题补充:

  • 匿名
2013-05-23 12:26:38
回归模型中使用的独立变量是教师或主要学科研究 (杂货)、 性别、 家庭类型 (FAM) 的年龄、 收入 (公司) 工作经验 (进出口),当前就业状态 (工作),通常占领 (OCC) (教育),教育和风险偏好 (保全风险)。表 6 显示变量如何构造的和他们先验预期迹象。变量的大部分预计先验有积极的迹象,即高教育的获得,预期的高的财务知识。性别和工作,但是,它不可能有事先期望的变量的标志。此外,风险偏好问题取得了这样不厌恶风险受访者比更多的风险厌恶人合计得分较低。因此,预计此变量的负号。高聚合风险偏好得分的人有可能在金融方面有更少的经验、 知识和信心。因此,较高的分数,在这一因素会倾向于降低金融技能和知识的分数。
 
 
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