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A simple and effective misspecification test for the double-hurdle model
Lucchetti, Riccardo
;
Pigini, Claudia
- In:
Economics letters
123
(
2014
)
1
,
pp. 75-78
Persistent link: https://www.econbiz.de/10010396534
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2
Dynamic panel probit : finite-sample performance of alternative random-effects estimators
Lucchetti, Riccardo
;
Pigini, Claudia
-
2018
Persistent link: https://www.econbiz.de/10011885478
Saved in:
3
Conditional moment tests for normality in bivariate limited dependent variable models : a Monte Carlo study
Lucchetti, Riccardo
;
Pigini, Claudia
-
2011
Persistent link: https://www.econbiz.de/10011719831
Saved in:
4
A simple and effective misspecification test for the double-hurdle model
Lucchetti, Riccardo
;
Pigini, Claudia
-
2014
Persistent link: https://www.econbiz.de/10011822000
Saved in:
5
Choice of solutions to the initial-conditions problem in dynamic panel probit models
Lucchetti, Riccardo
;
Pigini, Claudia
-
2020
Persistent link: https://www.econbiz.de/10012496671
Saved in:
6
Penalized maximum likelihood estimation of logit-based early warning systems
Pigini, Claudia
-
2019
Persistent link: https://www.econbiz.de/10012154490
Saved in:
7
Penalized maximum likelihood estimation of logit-based early warning systems
Pigini, Claudia
- In:
International journal of forecasting
37
(
2021
)
3
,
pp. 1156-1172
Persistent link: https://www.econbiz.de/10012794834
Saved in:
8
Modelli in differenze con errore di misura
Lucchetti, Riccardo
- In:
Giornale degli economisti e annali di economia
52
(
1994
)
7
,
pp. 403-415
Persistent link: https://www.econbiz.de/10001174262
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9
Testing for state dependence in the fixed-effects ordered logit model
Bartolucci, Francesco
;
Pigini, Claudia
;
Valentini, Francesco
- In:
Economics letters
222
(
2023
),
pp. 1-3
Persistent link: https://www.econbiz.de/10014232847
Saved in:
10
A misspecification test for finite-mixture logistic models for clustered binary and ordered responses
Bartolucci, Francesco
;
Bacci, Silvia
;
Pigini, Claudia
-
2015
Persistent link: https://www.econbiz.de/10011885487
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