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A Monte Carlo study of the BE estimator for growth regressions
Jan Ditzen, Erich Gundlach
School of Social Sciences
School of Energy, Geoscience, Infrastructure and Society
Research output
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Contribution to journal
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Article
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peer-review
4
Citations (Scopus)
Overview
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Business & Economics
Alternatives
6%
Coefficients
10%
Cross Section
16%
Data Generating Process
18%
Endogenous Variables
16%
Estimator
58%
Growth Regressions
100%
Model Specification
15%
Monte Carlo Study
87%
Performance
5%
Simulation
9%
Solow Model
20%
Mathematics
Alternatives
9%
Biased
13%
Coefficient
7%
Cross section
14%
Estimator
44%
Model Specification
19%
Monte Carlo Study
82%
Parameterization
14%
Performance
8%
Regression
56%
Simulation
9%
Specification
13%
Tend
11%
Social Sciences
performance
17%
regression
47%
simulation
29%
trend
18%