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...
| Main Author: | Bolhuis, Marijn |
|---|---|
| Other Authors: | Rayner, Brett |
| Format: | Journal |
| Language: | English |
| Published: |
Washington, D.C. :
International Monetary Fund,
2020.
|
| Series: | IMF Working Papers; Working Paper ;
No. 2020/044 |
| Subjects: | |
| Online Access: | Full text available on IMF |
Similar Items
-
An Algorithmic Crystal Ball : Forecasts-based on Machine Learning /
by: Jung, Jin-Kyu
Published: (2018) -
Can Italy Grow Out of Its NPL Overhang? : A Panel Threshold Analysis /
by: Mohaddes, Kamiar
Published: (2017) -
Deus ex Machina? : A Framework for Macro Forecasting with Machine Learning /
by: Bolhuis, Marijn
Published: (2020) -
Sources of Growth in Sub-Saharan Africa /
by: Aka, Brou
Published: (2004) -
Regional Growth in Mexico : 1970-1993 /
by: Juan-Ramon, V.
Published: (1996)