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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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 |
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Universidad Nacional de La Plata |
institution_str |
I-19 |
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R-120 |
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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 |
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1824075644223356928 |