Advanced Search
MyIDEAS: Login

Living Standards and Fertility in Indonesia: A Bayesian Analysis

Contents:

Author Info

  • Alessandra Mattei

    ()
    (Department of Statistics, University of Florence)

  • Fabrizia Mealli

    ()
    (Department of Statistics, University of Florence)

  • Stephen Pudney

    ()
    (Institute for Social and Economic Research University of Essex)

Abstract

We investigate the relationship between living standards and fertility, using a three-wave panel dataset from Indonesia to provide information on women’s fertility histories and the levels of consumption expenditure in the households to which they belong. We adopt a Bayesian approach to estimation and exploit the dynamically recursive structure implied by gestation lags to identify causal effects of living standards on fertility and vice versa.

Download Info

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Bibliographic Info

Article provided by GDE (Giornale degli Economisti e Annali di Economia), Bocconi University in its journal Giornale degli Economisti e Annali di Economia.

Volume (Year): 68 (2009)
Issue (Month): 2 (July)
Pages: 175-210

as in new window
Handle: RePEc:gde:journl:gde_v68_n2_p175-210

Contact details of provider:
Postal: via Sarfatti, 25 - 20136 Milano (Italy)
Phone: 0039-02-58365306
Web page: http://www.gde.unibocconi.it/

Order Information:
Email:
Web: http://www.gde.unibocconi.it

Related research

Keywords: Indonesia; Fertility; Living standards; Bayesian;

Find related papers by JEL classification:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:gde:journl:gde_v68_n2_p175-210. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Erika Somma).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.