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1
Reconsidering heterogeneity in panel data estimators of the stochastic frontier model
Greene, William
- In:
Journal of econometrics
126
(
2005
)
2
,
pp. 269-303
Persistent link: https://www.econbiz.de/10002647776
Saved in:
2
A Gamma-distributed stochastic frontier model
Greene, William
- In:
Journal of econometrics
46
(
1990
)
1
,
pp. 141-163
Persistent link: https://www.econbiz.de/10001163582
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3
A simultaneous estimation and variable selection rule
Golan, Amos
- In:
Journal of econometrics
101
(
2001
)
1
,
pp. 165-193
Persistent link: https://www.econbiz.de/10001545259
Saved in:
4
Information and entropy econometrics : editor's view
Golan, Amos
- In:
Journal of econometrics
107
(
2002
)
1/2
,
pp. 1-15
Persistent link: https://www.econbiz.de/10001651254
Saved in:
5
Estimation and inference with censored and ordered multinomial response data
Golan, Amos
- In:
Journal of econometrics
79
(
1997
)
1
,
pp. 23-51
Persistent link: https://www.econbiz.de/10001220089
Saved in:
6
Annals of econometrics: information and entropy econometrics
Golan, Amos
(
contributor
)
-
2001
Persistent link: https://www.econbiz.de/10001651249
Saved in:
7
Comparison of maximum entropy and higher-order entropy estimators
Golan, Amos
;
Perloff, Jeffrey M.
- In:
Journal of econometrics
107
(
2002
)
1/2
,
pp. 195-211
Persistent link: https://www.econbiz.de/10001651279
Saved in:
8
Information and entropy econometrics : a volume in honor of Arnold Zellner ; annals journal of econometrics
Golan, Amos
(
contributor
);
Zellner, Arnold
(
honouree
)
-
2007
Persistent link: https://www.econbiz.de/10003464223
Saved in:
9
Estimation of limited dependent variable models by ordinary least squares and the method of moments
Greene, William H.
- In:
Journal of econometrics
21
(
1983
)
2
,
pp. 195-212
Persistent link: https://www.econbiz.de/10002522178
Saved in:
10
Maximum likelihood estimation of stochastic frontier production models
Greene, William H.
- In:
Journal of econometrics
18
(
1982
)
2
,
pp. 285-289
Persistent link: https://www.econbiz.de/10002522193
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