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~institution:"Centre for Microdata Methods and Practice <London>"
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Centre for Microdata Methods and Practice <London>
Deutsches Institut für Wirtschaftsforschung / Projektgruppe Das Sozio-Ökonomische Panel
140
National Bureau of Economic Research
100
SOEP-IS Group
53
Institute for the Study of Labor (IZA)
45
Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
38
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25
TNS Infratest Sozialforschung GmbH
23
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18
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9
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9
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8
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7
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7
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7
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6
CESifo
6
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6
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5
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5
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5
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5
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5
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CEMMAP working papers / Centre for Microdata Methods and Practice
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Expend, a Gauss programme for non-linear GMM estimation of exponential models with endogenous regressors for cross section and
panel
data
Windmeijer, Frank
(
contributor
)
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001748235
Saved in:
2
Non-linear models with panle data
Honoré, Bo E.
(
contributor
)
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001748236
Saved in:
3
Finite sample inference for GMM estimators in linear
panel
data models
Bond, Stephen
(
contributor
);
Windmeijer, Frank
(
contributor
)
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001748246
Saved in:
4
Semiparametric estimation of a
panel
data proportional Hazards model with fixed effects
Horowitz, Joel
(
contributor
);
Lee, Sokbae
(
contributor
)
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001748248
Saved in:
5
Dynamic
panel
data models : a guide to micro data methods and practice
Bond, Stephen
(
contributor
)
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001748250
Saved in:
6
Jackknife and analytical bias reduction for nonlinear
panel
models
Hahn, Jinyong
(
contributor
);
Newey, Whitney K.
(
contributor
)
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001835709
Saved in:
7
Estimating
panel
data duration models with censored data
Lee, Sokbae
(
contributor
)
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001835910
Saved in:
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