《Table 1 Definition and descriptive statistics of key variables1)》

《Table 1 Definition and descriptive statistics of key variables1)》   提示:宽带有限、当前游客访问压缩模式
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《Low-income and overweight in China:Evidence from a life-course utility model》


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1) Authors’estimations based on the China Health and Nutrition Survey(CHNS)samples.

To verify our theoretical model,the relation between income and BMI is estimated by applying OLS estimation.The relations between income and overweight initiation,cessation,and participation are estimated by applying maximum likelihood estimations for Probit models.Pampel et al.(2012)argue that there might exist differences between males and females and in socially constructed body weight norms and ideas.Estimations are,thus,more reliable if different samples are estimated for males and females.Similarly,different samples are used for urban and rural residents to check for potential heterogeneity of the income effect.