Arbeitspapier
Exact computation of GMM estimators for instrumental variable quantile regression models
- Sprache
-
Englisch
- Erschienen in
-
Series: cemmap working paper ; No. CWP52/17
Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
Optimization Techniques; Programming Models; Dynamic Analysis
Computational Techniques; Simulation Modeling
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
Optimization Techniques; Programming Models; Dynamic Analysis
Computational Techniques; Simulation Modeling
Thema
generalized method of moments
instrumental variable
quantile regression
endogeneity
mixed integer optimization
instrumental variable
quantile regression
endogeneity
mixed integer optimization
Ereignis
Geistige Schöpfung
(wer)
Chen, Le-yu
Lee, Sokbae
Lee, Sokbae
Ereignis
Veröffentlichung
(wer)
Centre for Microdata Methods and Practice (cemmap)
(wo)
London
(wann)
2017
- DOI
-
doi:10.1920/wp.cem.2017.5217
- Handle
- Letzte Aktualisierung
-
12.07.2024, 13:24 MESZ
Objekttyp
- Arbeitspapier
Beteiligte
- Chen, Le-yu
- Lee, Sokbae
- Centre for Microdata Methods and Practice (cemmap)
Entstanden
- 2017
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