Using nationally representative household survey data, and district and state as two levels of aggregation, we examine role of individual and geographical factors in determining the level and the change in income inequality in India. We find that between-state income differences account for the...

An important constraint in studying intergenerational education mobility for India is the lack of data that contain information about parents' education for the entire adult population. This paper employs a novel strategy to create a unique father-son matched data that is representative of the...

An important constraint in studying intergenerational education mobility for India is the lack of data that contain information about parents' education for the entire adult population. This paper employs a novel strategy to create a unique father-son matched data that is representative of the...

An important constraint in studying intergenerational education mobility for India is the lack of data that contain information about parents' education for the entire adult population. This paper employs a novel strategy to create a unique father-son matched data that is representative of the...

Using nationally representative household survey data, and district and state as two levels of aggregation, we examine role of individual and geographical factors in determining the level and the change in income inequality in India. We find that between-state income differences account for the...

Using nationally representative household survey data, and district and state as two levels of aggregation, we examine role of individual and geographical factors in determining the level and the change in income inequality in India. We find that between-state income differences account for the...

Using nationally representative household survey data, and district and state as two levels of aggregation, we examine role of individual and geographical factors in determining the level and the change in income inequality in India. We find that between-state income differences account for the...

Using nationally representative and publicly available India Human Development Survey (IHDS), we create a unique son-father matched data that is representative of the entire adult male population (aged 20-65) in India. We use this data to document the evolution of intergenerational transmission...

An important constraint in studying intergenerational education mobility for India is the lack of data that contain information about parents' education for the entire adult population. This paper employs a novel strategy to create a unique father-son matched data that is representative of the...