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  • Search: subject:"Small area statistics"
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Year of publication
Subject
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Small area statistics 3 factor analysis 2 geographical targeting 2 metropolitan area 2 small area statistics 2 social backwardness 2 Bandwidth choice 1 Bootstrap inference 1 Mixed effects models 1 Multilevel models 1 Non- and semiparametric estimation 1 Non- and semiparametric models 1 Panel data analysis 1 Prediction 1 Semi-mixed effects models 1 Semiparametric regression 1 Treatment effect estimation 1 reweighting 1 small-area statistics 1 spatial microsimulation 1
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Online availability
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Undetermined 3
Type of publication
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Article 5 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 5 Spanish 1
Author
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Sperlich, Stefan 3 Benita, Francisco 1 Bill, Anthea 1 Chin, S.F. 1 Dolores, María 1 González Manteiga, Wenceslao 1 Gómez Meza, Marco Vinicio 1 Harding, Ann 1 José Lombardía, María 1 Lombardía, María José 1 Maldonado, Francisco J. Benita 1 Meza, Marco Vinicio Gómez 1 Miranda, Martínez 1
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Institution
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National Centre for Social and Economic Modelling (NATSEM), University of Canberra 1
Published in...
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Computational Statistics & Data Analysis 1 Estudios Económicos 1 Estudios económicos 1 Journal of Multivariate Analysis 1 NATSEM Working Paper Series 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1
Source
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RePEc 5 ECONIS (ZBW) 1
Showing 1 - 6 of 6
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El rezago social en áreas metropolitanas de México
Maldonado, Francisco J. Benita; Meza, Marco Vinicio Gómez - In: Estudios Económicos 28 (2013) 2, pp. 265-297
Large gaps exist in Mexico about production and analysis of small-scale territorial units. The paper addresses a new methodology for estimating the social backwardness for blocks of the metropolitan areas in Mexico. Based on The National Council for Evaluation of Social Development Policy...
Persistent link: https://www.econbiz.de/10011074725
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Kernel smoothers and bootstrapping for semiparametric mixed effects models
González Manteiga, Wenceslao; Lombardía, María José; … - In: Journal of Multivariate Analysis 114 (2013) C, pp. 288-302
While today linear mixed effects models are frequently used tools in different fields of statistics, in particular for studying data with clusters, longitudinal or multi-level structure, the nonparametric formulation of mixed effects models is still quite recent. In this paper we discuss and...
Persistent link: https://www.econbiz.de/10011041935
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Comments on: Model-free model-fitting and predictive distributions
Sperlich, Stefan - In: TEST: An Official Journal of the Spanish Society of … 22 (2013) 2, pp. 227-233
-based MF/MB point and interval predictors which can be used for example for small area statistics. Combining Politis’ idea with …
Persistent link: https://www.econbiz.de/10010994318
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Cover Image
El rezago social en áreas metropolitanas de México
Benita, Francisco; Gómez Meza, Marco Vinicio - In: Estudios económicos 28 (2013) 2, pp. 265-297
Persistent link: https://www.econbiz.de/10011521804
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A new class of semi-mixed effects models and its application in small area estimation
José Lombardía, María; Sperlich, Stefan - In: Computational Statistics & Data Analysis 56 (2012) 10, pp. 2903-2917
In multi-level regression, using a fixed effect for each cluster leads to models that are flexible but that have poor estimation accuracy. In small area studies, for example, fixed effects models are typically over-parameterized. Regarding region as a random effect reduces the number of...
Persistent link: https://www.econbiz.de/10011056487
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Regional Dimensions: Preparation of 1998-99 HES for reweighting to small-area benchmarks
Chin, S.F.; Harding, Ann; Bill, Anthea - National Centre for Social and Economic Modelling … - 2007
This Technical Paper describes the processes for creating a key input dataset for the Regional Dimensions project. This input dataset is the so-called HES Linkage File, which feeds into the 'reweighting' process for converting a set of national household weights into small-area (SLA) household...
Persistent link: https://www.econbiz.de/10009188437
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