Further Results on Bayesian Method of Moments Analysis of the Multiple Regression Model

By A. Zellner, J. Tobias. 2001

59 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/471320b148e88749f1836192cd93728ad570ee47

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In Management Science and Operations Research

1. William H. Greene
2. Scott E. Atkinson
3. Amos Golan
4. J. Dorfman
5. Massimo Filippini
6. Federico Belotti
7. Giuseppe Ilardi
8. Subal C. Kumbhakar

Citations in the corpus

• Bayesian measurement of productivity and efficiency in the presence of undesirable outputs: crediting electric utilities for reducing air pollution (2005, methodology): “An alternative approach has been pursued by Zellner and Tobias (2001), Zellner and Chen (2001), and Zellner (1997, 1998).”
• Calculation of maximum entropy densities with application to income distribution (2003, unknown): “For example, the Bayesian method of moments (BMOM) uses the maxent technique to estimate the posterior density of parameters of interest (Zellner, 1997; Zellner and Tobias, 2001).”
• The Econometric Approach to Efficiency Analysis (2008, methodology): “The estimator in this study is an elaborate form of Bayesian method of moments (see Kim, 2002; Zellner and Tobias, 2001).”
• Information and Entropy Econometrics - A Review and Synthesis (2008, methodology): “This trend started with the seminal work of Zellner on the Bayesian Method of Moments, BMOM, (Zellner, 1994, 1996a, 1997; Tobias and Zellner, 2001).”