Intra-cluster correlation as serial vs. equicorrelation in a hierarchical linear model
This paper proposes a simple hierarchical model and a testing strategy to identify intra-cluster correlations. Intra-group correlations are modeled as a combination of nested random effects and serially correlated error components in a hierarchical model. A Neyman C(α) framework is used to derive LM...
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| Formato: | Objeto de conferencia |
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2015
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/170216 |
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I19-R120-10915-1702162024-09-16T20:08:37Z http://sedici.unlp.edu.ar/handle/10915/170216 Intra-cluster correlation as serial vs. equicorrelation in a hierarchical linear model Alejo, Javier Montes Rojas, Gabriel Sosa Escudero, Walter 2015-11 2015 2024-09-16T17:58:47Z en Ciencias Económicas clusters random effects serial correlation This paper proposes a simple hierarchical model and a testing strategy to identify intra-cluster correlations. Intra-group correlations are modeled as a combination of nested random effects and serially correlated error components in a hierarchical model. A Neyman C(α) framework is used to derive LM-type tests to identify the appropriate level of clustering and the type of intra-group correlation. Facultad de Ciencias Económicas Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Económicas clusters random effects serial correlation |
| spellingShingle |
Ciencias Económicas clusters random effects serial correlation Alejo, Javier Montes Rojas, Gabriel Sosa Escudero, Walter Intra-cluster correlation as serial vs. equicorrelation in a hierarchical linear model |
| topic_facet |
Ciencias Económicas clusters random effects serial correlation |
| description |
This paper proposes a simple hierarchical model and a testing strategy to identify intra-cluster correlations. Intra-group correlations are modeled as a combination of nested random effects and serially correlated error components in a hierarchical model. A Neyman C(α) framework is used to derive LM-type tests to identify the appropriate level of clustering and the type of intra-group correlation. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Alejo, Javier Montes Rojas, Gabriel Sosa Escudero, Walter |
| author_facet |
Alejo, Javier Montes Rojas, Gabriel Sosa Escudero, Walter |
| author_sort |
Alejo, Javier |
| title |
Intra-cluster correlation as serial vs. equicorrelation in a hierarchical linear model |
| title_short |
Intra-cluster correlation as serial vs. equicorrelation in a hierarchical linear model |
| title_full |
Intra-cluster correlation as serial vs. equicorrelation in a hierarchical linear model |
| title_fullStr |
Intra-cluster correlation as serial vs. equicorrelation in a hierarchical linear model |
| title_full_unstemmed |
Intra-cluster correlation as serial vs. equicorrelation in a hierarchical linear model |
| title_sort |
intra-cluster correlation as serial vs. equicorrelation in a hierarchical linear model |
| publishDate |
2015 |
| url |
http://sedici.unlp.edu.ar/handle/10915/170216 |
| work_keys_str_mv |
AT alejojavier intraclustercorrelationasserialvsequicorrelationinahierarchicallinearmodel AT montesrojasgabriel intraclustercorrelationasserialvsequicorrelationinahierarchicallinearmodel AT sosaescuderowalter intraclustercorrelationasserialvsequicorrelationinahierarchicallinearmodel |
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1824075644223356928 |