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A Small-Sample Estimator for t...
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Golan, Amos
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1
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Estimating a demand system with nonnegativity constraints : Mexican meat demand
Golan, Amos
;
Perloff, Jeffrey M.
;
Shen, Edward Z.
- In:
The review of economics and statistics
83
(
2001
)
3
,
pp. 541-550
Persistent link: https://www.econbiz.de/10001594196
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2
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
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3
Estimating a mixed strategy employing maximum entropy
Golan, Amos
;
Karp, Larry S.
;
Perloff, Jeffrey M.
-
1996
Persistent link: https://www.econbiz.de/10000933619
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4
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:
5
Information and entropy econometrics : a review and synthesis
Golan, Amos
-
2008
Persistent link: https://www.econbiz.de/10003670240
Saved in:
6
An information theoretic approach for estimating nonlinear dynamic models
Golan, Amos
(
contributor
)
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
7
(
2003
)
4
Persistent link: https://www.econbiz.de/10002004172
Saved in:
7
On the natural fluctuation of the economy
Golan, Amos
- In:
Mathematical social sciences
2
(
1989
),
pp. 161-175
Persistent link: https://www.econbiz.de/10001083206
Saved in:
8
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
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9
A discrete-stochastic model of economic production and a model of production fluctuations-theory and empirical evidence
Golan, Amos
-
1988
Persistent link: https://www.econbiz.de/10000818313
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10
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
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