Abstract:Propose a new method for measuring the multi-generational income mobility of a family—multi-generational income transfer matrix and conditional income transfer matrix. Set CHIP1988 as the auxiliary sample and CHIP2013 as the main sample respectively, and use machine learning algorithms to estimate the more accurate grandparents' income of the main sample based on the matching feature information of the auxiliary sample; first, the relative change process of the three generations of the family’s income class is split Two transfers are made to determine the structural change trend of intergenerational income mobility of urban and rural households; secondly, the level and quality of the three-generational income mobility of urban and rural households are measured by the multi-generational income transfer matrix; finally, the grandfather generation of urban and rural households is measured by the conditional income transfer matrix The influence law of income class on father-child intergenerational transmission. The results show that both urban and rural households have a trend of income stratum consolidation, and intergenerational income flows have unfavorable structural changes; compared with urban households, the quality of multi-generational income flows of rural families is higher, and their offspring can escape the multi-generational poverty trap Has a greater chance

Key words:Urban and rural families;Multi-generational income;Flow level