Nowcasting distributional national accounts for the United States : a machine learning approach
Year of publication: |
September 2024
|
---|---|
Authors: | Cornwall, Gary ; Gindelsky, Marina |
Publisher: |
Washington, DC : U.S. Department of Commerce, Bureau of Economic Analysis |
Subject: | Inequality | income distribution | national accounts | nowcasting | machine learning | Einkommensverteilung | Income distribution | Künstliche Intelligenz | Artificial intelligence | USA | United States | Volkswirtschaftliche Gesamtrechnung | National accounts | Prognoseverfahren | Forecasting model |
-
Rethinking growth and inequality in the US : what is the role of measurement of GDP?
Tercioğlu, Remzi Bariș, (2021)
-
Comparing living and working conditions : Germany outperforms the United States
Priewe, Jan, (2024)
-
Reconciled estimates of monthly GDP in the US
Koop, Gary, (2022)
- More ...
-
It's the Smell : How Resolving Uncertainty About Local Disamenities Affects the Housing Market
Chen, Jeff, (2022)
-
For what it's worth : measuring land value in the era of big data and machine learning
Wentland, Scott, (2023)
-
Indirect effects and causal inference : reconsidering regression discontinuity
Cornwall, Gary, (2021)
- More ...