Estimating intergenerational income mobility on two samples: Sensitivity to model selection
When: | Wednesday, 17 April 2019 - Wednesday, 17 April 2019 |
Where: | Braamfontein Campus West Room 247, New Commerce Building |
Start time: | 12:30 |
Enquiries: |
The School for Economic and Business Sciences will host Patrizio Piraino from the University of Cape Town.
Much of the international evidence on intergenerational income mobility is based on sub-optimal data. This is especially true for low-income and emerging countries. In particular, a considerable number of studies make use of two-sample techniques to impute parental incomes. Piraino will propose a machine learning method that may improve the reliability and comparability of such estimates. Our approach minimises the out-of-sample prediction error in the parental income imputation. This provides an objective criterion for choosing across different specifications of the prediction equation.
