Arbeitspapier
Censored quantile regression of chronic and transient seasonal poverty in Rwanda
- Language
-
Englisch
- Bibliographic citation
-
Series: CREDIT Research Paper ; No. 02/25
- Classification
-
Wirtschaft
- Subject
-
Armut
Index
Schätzung
Theorie
Ruanda
- Event
-
Geistige Schöpfung
- (who)
-
Muller, Christophe
- Event
-
Veröffentlichung
- (who)
-
The University of Nottingham, Centre for Research in Economic Development and International Trade (CREDIT)
- (where)
-
Nottingham
- (when)
-
2002
- Handle
- Last update
- 10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Muller, Christophe
- The University of Nottingham, Centre for Research in Economic Development and International Trade (CREDIT)
Time of origin
- 2002
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Censored quantile regression processes under dependence and penalization
Censored quantile regression survival models with a cure proportion
Bias-corrected quantile regression estimation of censored regression models
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Censored quantile regressions of poverty in Rwanda
A note on estimating censored quantile regressions
Nonparametric quantile regression for twice censored data
Censored quantile regression processes under dependence and penalization
Censored quantile regression survival models with a cure proportion
Bias-corrected quantile regression estimation of censored regression models
Quantile regression with interval-censored data in questionnaire-based studies
Institutional Reform and Depositors’ Portfolio Choice: Evidence from Censored Quantile Regressions
Institutional Reform and Depositors' Portfolio Choice - Evidence from Censored Quantile Regressions
Determinants of lifetime unemployment: a micro data analysis with censored quantile regressions
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