Modelling Variation in Fertility Rates Using Geographically Weighted Regression-Reference-Cited by-同舟云学术

Modelling Variation in Fertility Rates Using Geographically Weighted Regression

Published:2017-10-28 Issue:2 Volume:6 Page:121-140
ISSN:2364-2289
Container-title:Spatial Demography
language:en
Short-container-title:Spat Demogr

Author:

Evans Ann^ORCID,Gray Edith^ORCID

Funder

Australian Research Council

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/article/10.1007/s40980-017-0037-9/fulltext.html

Reference36 articles.

1. Australian Bureau of Statistics. (2010). Australian Social Trends, December 2010, Catalogue Number 4102.0. Canberra: Australian Bureau of Statistics.

2. Australian Bureau of Statistics. (2013). 2011 Census QuickStats. Canberra: Australian Bureau of Statistics.

3. Australian Bureau of Statistics. (2014). Australian Historical Population Statistics, 2014, Catalogue Number 3105.0.65.001 Canberra: Australian Bureau of Statistics.

4. Australian Bureau of Statistics. (2016). Births Australia 2015, Catalogue Number 3301.0. Canberra: Australian Bureau of Statistics.

5. Badcock, B. (1997). Recently observed polarising tendencies and Australian cities. Geographical Research, 35(3), 243–259.

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Demographic Change and the Urban–Rural Divide: Understanding the Role of Density and Agglomeration in Fertility Transitions;Land;2022-11-06

2. Economic Downturns, Urban Growth and Suburban Fertility in a Mediterranean Context;Economies;2022-10-12

3. Sprawl or Segregation? Local Fertility as a Proxy of Socio-spatial Disparities Under Sequential Economic Downturns;Social Indicators Research;2022-08-15

4. Forecasting Australian fertility by age, region, and birthplace;International Journal of Forecasting;2022-08

5. Low fertility spread in China: A blended adaptation and diffusion explanation;Population, Space and Place;2022-02-07