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Gallant, A. Ronald
182
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163
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80
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58
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40
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18
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17
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10
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10
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10
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Ronald Gallant, A.
10
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9
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9
Li, Jia
9
Gallant, A.Ronald
8
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8
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8
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7
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6
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5
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5
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5
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201
Estimating Dynamic Games of Complete Information with an Application to the Generic Pharmaceutical Industry
Hong, Han
;
Khwaja, Ahmed
;
Gallant, A. Ronald
-
Society for Economic Dynamics - SED
-
2008
industry structure.
Persistent link: https://www.econbiz.de/10011080985
Saved in:
202
SEPARABILITY, AGGREGATION, AND EULER EQUATION ESTIMATION
Fleissig, Adrian R.
;
Gallant, A. Ronald
;
Seater, John J.
- In:
Macroeconomic Dynamics
4
(
2000
)
04
,
pp. 547-572
Persistent link: https://www.econbiz.de/10005624850
Saved in:
203
A Gaussian approximation scheme for computation of option prices in stochastic volatility models
Cheng, Ai-ru
;
Gallant, A. Ronald
;
Ji, Chuanshu
;
Lee, Beom S.
- In:
Journal of Econometrics
146
(
2008
)
1
,
pp. 44-58
We consider European options on a price process that follows the log-linear stochastic volatility model. Two stochastic integrals in the option pricing formula are costly to compute. We derive a central limit theorem to approximate them. At parameter settings appropriate to foreign exchange data...
Persistent link: https://www.econbiz.de/10005228667
Saved in:
204
Qualitative and asymptotic performance of SNP density estimators
Fenton, Victor M.
;
Gallant, A. Ronald
- In:
Journal of Econometrics
74
(
1996
)
1
,
pp. 77-118
Persistent link: https://www.econbiz.de/10005122654
Saved in:
205
Unbiased determination of production technologies
Gallant, A. Ronald
- In:
Journal of Econometrics
20
(
1982
)
2
,
pp. 285-323
Persistent link: https://www.econbiz.de/10005122862
Saved in:
206
Comment
Gallant, A. Ronald
- In:
Journal of Business & Economic Statistics
25
(
2007
)
April
,
pp. 151-152
Persistent link: https://www.econbiz.de/10005429993
Saved in:
207
The Nonlinear Mixed Effects Model with a Smooth Random Effects Density
Gallant, A. Ronald
-
Duke University, Department of Economics
-
1996
The fixed parameters of the nonlinear mixed effects model and the density of the random effects are estimated jointly by maximum likelihood. The density of the random effects is assumed to be smooth but is otherwise unrestricted. The method uses a series expansion that follows from the...
Persistent link: https://www.econbiz.de/10005439789
Saved in:
208
Qualitative and Asymptotic Performance of SNP Density Estimators
Fenton, Victor
;
Gallant, A. Ronald
-
Duke University, Department of Economics
-
1996
The SNP estimator is the most convenient nonparametric method for simultaneously estimating the parameters of a nonlinear model and the density of a latent process by maximum likelihood. To determine if this convenience comes at a price, we assess the qualitative behavior of SNP in finite...
Persistent link: https://www.econbiz.de/10005439810
Saved in:
209
Comments on Calibration
Gallant, A. Ronald
-
Duke University, Department of Economics
-
1996
This paper summarizes comments at the Panel Discussion on Calibration at the Seventh World Congress of the Econometric Society, Keio University, Tokyo, Japan, 22-29 August 1995.
Persistent link: https://www.econbiz.de/10005439815
Saved in:
210
Generalized Method of Moments with Latent Variables
Gallant, A. Ronald
;
Giacomini, Raffaella
;
Ragusa, Giuseppe
-
C.E.P.R. Discussion Papers
-
2013
The contribution of generalized method of moments (Hansen and Singleton, 1982) was to allow frequentist inference regarding the parameters of a nonlinear structural model without having to solve the model. Provided there were no latent variables. The contribution of this paper is the same. With...
Persistent link: https://www.econbiz.de/10011083999
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