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Prediction in an unbalanced nested error components panel data model
Badi H. Baltagi
, Alain Pirotte
Department of Economics
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
Overview
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Dive into the research topics of 'Prediction in an unbalanced nested error components panel data model'. Together they form a unique fingerprint.
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Mathematics
Panel Data
91%
Data Model
81%
Predictors
66%
Prediction
57%
Unbalanced Data
34%
Best Linear Unbiased Predictor
34%
Productivity
30%
Hierarchical Structure
29%
Performance
28%
Fixed Effects
28%
Forecasting
27%
Econometrics
26%
Sector
24%
Random Effects
24%
Mean square error
23%
Monte Carlo Simulation
20%
Roots
18%
Class
7%
Business & Economics
Error Components
100%
Predictors
76%
Prediction
58%
Monte Carlo Simulation
27%
Student Performance
24%
Unbalanced Panel Data
23%
Public Capital
22%
Hierarchical Structure
22%
Random Effects
18%
House Prices
18%
Fixed Effects
16%
Econometrics
14%
Private Sector
13%
Panel Data
13%
Productivity
10%
Performance
6%
Engineering & Materials Science
Mean square error
66%
Data structures
59%
Productivity
57%
Students
52%