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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:

sebs@wits.ac.za 

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.

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