Modelling household finances: A Bayesian approach to a multivariate two-part model

被引:15
|
作者
Brown, Sarah [1 ]
Ghosh, Pulak [2 ]
Su, Li [3 ]
Taylor, Karl [1 ]
机构
[1] Univ Sheffield, Dept Econ, Sheffield S1 4DT, S Yorkshire, England
[2] Indian Inst Management, Dept Quantitat Methods & Informat Syst, Bangalore, Karnataka, India
[3] Cambridge Inst Publ Hlth, MRC Biostat Unit, Cambridge CB2 0SR, England
基金
英国医学研究理事会;
关键词
Assets; Bayesian approach; Bridge distribution; Debt; Two-part model; DEBT; EXPECTATIONS; PREFERENCES; BINARY; LEVEL;
D O I
10.1016/j.jempfin.2015.03.017
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We contribute to the empirical literature on household finances by introducing a Bayesian multivariate two-part model, which has been developed to further our understanding of household finances. Our flexible approach allows for the potential interdependence between the holding of assets and liabilities at the household level and also encompasses a two-part process to allow for differences in the influences on asset or liability holding and on the respective amounts held. Furthermore, the framework is dynamic in order to allow for persistence in household finances over time. Our findings endorse the joint modelling approach and provide evidence supporting the importance of dynamics. In addition, we find that certain independent variables exert different influences on the binary and continuous.parts of the model thereby highlighting the flexibility of our framework and revealing a detailed picture of the nature of household finances. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:190 / 207
页数:18
相关论文
共 50 条
  • [21] A hierarchical multivariate two-part model for profiling providers' effects on health care charges
    Robinson, John W.
    Zeger, Scott L.
    Forrest, Christopher B.
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2006, 101 (475) : 911 - 923
  • [22] A two-part model of alcohol sensitivity
    Williams, M. A.
    Sher, K. J.
    Wood, P. K.
    Bartholow, B. D.
    [J]. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2007, 31 (06) : 188A - 188A
  • [23] Bayesian marginalized two-part mixed effects model based on generalized gamma distribution
    Kwon, Yongtae
    Lee, Keunbaik
    [J]. KOREAN JOURNAL OF APPLIED STATISTICS, 2023, 36 (03) : 225 - 243
  • [24] Nonparametric Bayesian functional two-part random effects model for longitudinal semicontinuous data analysis
    Park, Jinsu
    Choi, Taeryon
    Chung, Yeonseung
    [J]. BIOMETRICAL JOURNAL, 2021, 63 (04) : 787 - 805
  • [25] Gender analysis on drivers of cigarette consumption in Kenya: two-part model approach
    Kipkorir, P.
    Ngeno, V.
    [J]. TOBACCO INDUCED DISEASES, 2018, 16 : 48 - 48
  • [26] Bayesian inference for a two-part hierarchical model: An application to profiling providers in managed health care
    Zhang, Min
    Strawderman, Robert L.
    Cowen, Mark E.
    T Wells, Martin
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2006, 101 (475) : 934 - 945
  • [27] A Two-Part Tariff Model for Energy Intermediation
    Srinivasan, Sunderasan
    [J]. ENGINEERING ECONOMIST, 2013, 58 (04): : 265 - 281
  • [28] A note on optimal designs for a two-part model
    Han, C
    [J]. STATISTICS & PROBABILITY LETTERS, 2003, 65 (04) : 343 - 351
  • [29] A marginalized two-part model for semicontinuous data
    Smith, Valerie A.
    Preisser, John S.
    Neelon, Brian
    Maciejewski, Matthew L.
    [J]. STATISTICS IN MEDICINE, 2014, 33 (28) : 4891 - 4903
  • [30] DEPRESSION AND CPAP ADHERENCE: A TWO-PART MODEL
    Wohlgemuth, William
    Tutek, Joshua
    Wallace, Douglas
    Fins, Ana
    Martinez-Garcia, Ana-Maria
    Satyanarayana, Satya
    Gonzalez, Alexandria
    [J]. PSYCHOSOMATIC MEDICINE, 2020, 82 (06) : A73 - A73