Data Science
CPB always strives to enrich its scientific and policy-oriented research with data science techniques, thus offering more insight into important social issues. To this end, we are always gathering new knowledge on new data-driven forecasting methods (machine learning) and disseminate this knowledge both within CPB and to the outside world.
May 14, 2024
De voorspellende waarde van toetsen uit het LVS
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July 6, 2023
Greep op selectie-algoritmes
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July 5, 2023
Selectie door algoritmes kan wel representatief
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Contacts
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Related
The added value of machine learning for macroeconomic forecasting in the NetherlandsThe Costs of Affirmative Action: Evidence from a Medical School LotteryDe voorspellende waarde van toetsen uit het leerlingvolgsysteem voor de eindtoetsCausal forests with fixed effects for treatment effect heterogeneity in difference-in-differencesGreep op selectie-algoritmes