Using Machine Learning to Create an Early Warning System for Welfare Recipients
Year of publication: |
2021
|
---|---|
Authors: | Sansone, Dario ; Zhu, Anna |
Publisher: |
Bonn : Institute of Labor Economics (IZA) |
Subject: | income support | machine learning | Australia |
Series: | IZA Discussion Papers ; 14377 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1759206636 [GVK] hdl:10419/236408 [Handle] RePEc:iza:izadps:dp14377 [RePEc] |
Classification: | C53 - Forecasting and Other Model Applications ; H53 - Government Expenditures and Welfare Programs ; I38 - Government Policy; Provision and Effects of Welfare Programs ; J68 - Public Policy |
Source: |
-
Using machine learning to create an early warning system for welfare recipients
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