A non-stationary stochastic process model of completed marital fertility in Japan

被引:1
|
作者
Ike, S [1 ]
机构
[1] Teikyo Univ, Tokyo 1910043, Japan
来源
JOURNAL OF MATHEMATICAL SOCIOLOGY | 2002年 / 26卷 / 1-2期
基金
日本学术振兴会;
关键词
D O I
10.1080/00222500210526
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The historic decline in completed marital fertility has long been studied for its effects on the Demographic Ransition in Europe. I applied logistic models to the actual data and test for statistical fit of the model to the data. I explain the logistic patterns in declining completed marital fertility rates assume that, as Western countries underwent diffusion of family limitation, individuals observed the behavior of others in their and adjoining cohorts. Social integration is then assumed to have lead to imitative processes in which individuals increasingly reduced their fertility in through processes of endogenous feedback. I demonstrate that a non-stationary stochastic process is able to explain the change of the distribution of the ratio of the number of the children with current hypotheses of the underlying mechanism. It is also more parsimonious and provides a good fit to the observed change of the ratio distribution of the number of children that traditional approaches have not done.
引用
收藏
页码:35 / 55
页数:21
相关论文
共 50 条
  • [1] Reliability aspects of a stochastic non-stationary process
    Burgazzi, L.
    [J]. RELIABILITY, RISK AND SAFETY: THEORY AND APPLICATIONS VOLS 1-3, 2010, : 2159 - 2164
  • [2] The SLEX Model of a Non-Stationary Random Process
    Hernando Ombao
    Jonathan Raz
    Rainer von Sachs
    Wensheng Guo
    [J]. Annals of the Institute of Statistical Mathematics, 2002, 54 : 171 - 200
  • [3] Non-Stationary Stochastic Optimization
    Besbes, Omar
    Gur, Yonatan
    Zeevi, Assaf
    [J]. OPERATIONS RESEARCH, 2015, 63 (05) : 1227 - 1244
  • [4] The SLEX model of a non-stationary random process
    Ombao, H
    Raz, J
    von Sachs, R
    Guo, WS
    [J]. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2002, 54 (01) : 171 - 200
  • [5] Fundamentals of a Particular Non-Stationary Stochastic Process Used to Model Particle Transport in a Stochastic Magnetic Field
    Babalic, E. M.
    Pometescub, N. I.
    [J]. PHYSICS CONFERENCE (TIM-10), 2011, 1387
  • [6] Performance assessment of a passive system as a non-stationary stochastic process
    Burgazzi, Luciano
    [J]. NUCLEAR ENGINEERING AND DESIGN, 2012, 248 : 301 - 305
  • [7] STOCHASTIC REALIZATIONS OF A DISCRETE-TIME NON-STATIONARY PROCESS
    BADAWI, FA
    [J]. INTERNATIONAL JOURNAL OF CONTROL, 1988, 48 (04) : 1439 - 1454
  • [8] Stochastic variational inference for scalable non-stationary Gaussian process regression
    Ionut Paun
    Dirk Husmeier
    Colin J. Torney
    [J]. Statistics and Computing, 2023, 33
  • [9] Stochastic variational inference for scalable non-stationary Gaussian process regression
    Paun, Ionut
    Husmeier, Dirk
    Torney, Colin J.
    [J]. STATISTICS AND COMPUTING, 2023, 33 (02)
  • [10] Bootstrapping non-stationary stochastic volatility
    Boswijk, H. Peter
    Cavaliere, Giuseppe
    Georgiev, Iliyan
    Rahbek, Anders
    [J]. JOURNAL OF ECONOMETRICS, 2021, 224 (01) : 161 - 180