Generalized Exponential Methods of Imputation in Estimation of Current Population Mean in Two-Occasion Successive Sampling

I examine the relationship between the level of education of a household breadwinner and the relative position on a ten-digit scale of household total income. The dataset allows for avoiding usual sample selection biases. Using data from India, I show that the education of the breadwinner is a good predictor of the income of the household. The contribution of secondary and tertiary education is positive, and this result is strong especially for the self-employed. The data suggest also that an increase in inequality among self-employed appears more likely than among part time and full time employees.