A SPACE-TIME VARYING COEFFICIENT MODEL: THE EQUITY OF SERVICE ACCESSIBILITY

被引:23
作者
Serban, Nicoleta [1 ]
机构
[1] Georgia Inst Technol, Atlanta, GA 30332 USA
基金
美国国家科学基金会;
关键词
Equity; service accessibility; simultaneous confidence bands; spatial-temporal modeling; varying coefficient model; MIXED-EFFECTS MODELS; LOCATION ANALYSIS; SPATIAL EQUITY; ACCESS;
D O I
10.1214/11-AOAS473
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Research in examining the equity of service accessibility has emerged as economic and social equity advocates recognized that where people live influences their opportunities for economic development, access to quality health care and political participation. In this research paper service accessibility equity is concerned with where and when services have been and are accessed by different groups of people, identified by location or underlying socioeconomic variables. Using new statistical methods for modeling spatial-temporal data, this paper estimates demographic association patterns to financial service accessibility varying over a large geographic area (Georgia) and over a period of 13 years. The underlying model is a space-time varying coefficient model including both separable space and time varying coefficients and space-time interaction terms. The model is extended to a multilevel response where the varying coefficients account for both the within-and between-variability. We introduce an inference procedure for assessing the shape of the varying regression coefficients using confidence bands.
引用
收藏
页码:2024 / 2051
页数:28
相关论文
共 43 条
[1]  
[Anonymous], 2003, Semiparametric Regression
[2]  
[Anonymous], REGIONAL EQUITY SMAR
[3]  
[Anonymous], 1998, Case Studies in Environmental Statistics, DOI DOI 10.1007/978-1-4612-2226-2_4
[4]   Space varying coefficient models for small area data [J].
Assunçao, RM .
ENVIRONMETRICS, 2003, 14 (05) :453-473
[5]  
BALADANDAYUTHAP.V, 2008, BIOMETRICS, V64, P321
[6]   Bayesian hierarchical spatially correlated functional data analysis with application to colon carcinogenesis [J].
Baladandayuthapani, Veerabhadran ;
Mallick, Bani K. ;
Hong, Mee Young ;
Lupton, Joanne R. ;
Turner, Nancy D. ;
Carroll, Raymond J. .
BIOMETRICS, 2008, 64 (01) :64-73
[7]   Exact likelihood ratio tests for penalised splines [J].
Crainiceanu, C ;
Ruppert, D ;
Claeskens, G ;
Wand, MP .
BIOMETRIKA, 2005, 92 (01) :91-103
[8]   Generalized Multilevel Functional Regression [J].
Crainiceanu, Ciprian M. ;
Staicu, Ana-Maria ;
Di, Chong-Zhi .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2009, 104 (488) :1550-1561
[9]  
Cressie N., 1993, Statistics for Spatial Data, DOI [10.1002/9781119115151, DOI 10.1002/9781119115151]
[10]   MULTILEVEL FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS [J].
Di, Chong-Zhi ;
Crainiceanu, Ciprian M. ;
Caffo, Brian S. ;
Punjabi, Naresh M. .
ANNALS OF APPLIED STATISTICS, 2009, 3 (01) :458-488