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~isPartOf:"Department of Economics working paper series / McMaster University, Department of Economics"
~isPartOf:"Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria"
~source:"econis"
~subject:"Dekompositionsverfahren"
~subject:"Diebold–Mariano test"
~subject:"Präferenztheorie"
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Dekompositionsverfahren
Diebold–Mariano test
Präferenztheorie
Probit model
16
Probit-Modell
16
Estimation
7
Schätzung
7
Theorie
7
Theory
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Theory of preferences
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Logit
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Logit-Modell
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1979-2010
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Bayes-Statistik
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Bildungsverhalten
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Binary choice
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Binary response model
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Department of Economics working paper series / McMaster University, Department of Economics
Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
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3
Econometrics : open access journal
2
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2
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Identification and decompositions in probit and logit models
Choe, Chung
;
Jung, Seeun
;
Oaxaca, Ronald L.
- In:
Empirical economics : a journal of the Institute for …
59
(
2020
)
3
,
pp. 1479-1492
Persistent link: https://www.econbiz.de/10012286517
Saved in:
2
Pregibit : a family of binary choice models
Vijverberg, Chu-ping C.
;
Vijverberg, Wim P. M.
- In:
Empirical economics : a journal of the Institute for …
50
(
2016
)
3
,
pp. 901-932
Persistent link: https://www.econbiz.de/10011481143
Saved in:
3
Predicting US recessions through a combination of probability forecasts
De Luca, Giovanni
;
Carfora, Alfonso
- In:
Empirical economics : a journal of the Institute for …
46
(
2014
)
1
,
pp. 127-144
Persistent link: https://www.econbiz.de/10010246823
Saved in:
4
Simulation-based inference in dynamic panel probit models : an application to health
Contoyannis, Paul
;
Jones, Andrew M.
;
Rice, Nigel
- In:
Empirical economics : a journal of the Institute for …
29
(
2004
)
1
,
pp. 49-77
Persistent link: https://www.econbiz.de/10001863277
Saved in:
5
Simulation-based inference in dynamic panel probit models : an application to health
Contoyannis, Paul
(
contributor
); …
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001714154
Saved in:
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