The More the Merrier? : A Machine Learning Algorithm for Optimal Pooling of Panel Data /
We leverage insights from machine learning to optimize the tradeoff between bias and variance when estimating economic models using pooled datasets. Specifically, we develop a simple algorithm that estimates the similarity of economic structures across countries and selects the optimal pool of count...
Hlavní autor: | Bolhuis, Marijn |
---|---|
Další autoři: | Rayner, Brett |
Médium: | Časopis |
Jazyk: | English |
Vydáno: |
Washington, D.C. :
International Monetary Fund,
2020.
|
Edice: | IMF Working Papers; Working Paper ;
No. 2020/044 |
Témata: | |
On-line přístup: | Full text available on IMF |
Podobné jednotky
-
An Algorithmic Crystal Ball : Forecasts-based on Machine Learning /
Autor: Jung, Jin-Kyu
Vydáno: (2018) -
Can Italy Grow Out of Its NPL Overhang? : A Panel Threshold Analysis /
Autor: Mohaddes, Kamiar
Vydáno: (2017) -
Deus ex Machina? : A Framework for Macro Forecasting with Machine Learning /
Autor: Bolhuis, Marijn
Vydáno: (2020) -
Sources of Growth in Sub-Saharan Africa /
Autor: Aka, Brou
Vydáno: (2004) -
Regional Growth in Mexico : 1970-1993 /
Autor: Juan-Ramon, V.
Vydáno: (1996)