Advanced Search
MyIDEAS: Login to save this article or follow this journal

Modeling Household Fertility Decisions: Estimation and Testing of Censored Regression Models for Count Data

Contents:

Author Info

  • Caudill, Steven B
  • Mixon, Franklin G, Jr

Abstract

This paper adds to the recent body of research on fertility by estimating and testing censored Poisson regression models and censored negative binomial regression models of household fertility decisions. A novel feature of this study is that in each case the censoring threshold varies from individual to individual. Also, a Lagrange multiplier or score test is used to investigate overdispersion. In these regression models the dependent variable is the number of children. In this situation, censored Poisson regression models and censored negative binomial regression models have statistical advantages over OLS, uncensored Poisson regression models, and uncensored negative binomial regression models. The censored models employed in this study are estimated using panel data collected from the Consumer Expenditure Survey compiled by the Bureau of Labor Statistics. The findings of this study support the fertility hypothesis of Becker and Lewis (1965-70).

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 Springer in its journal Empirical Economics.

Volume (Year): 20 (1995)
Issue (Month): 2 ()
Pages: 183-96

as in new window
Handle: RePEc:spr:empeco:v:20:y:1995:i:2:p:183-96

Contact details of provider:
Postal: Stumpergasse 56, A-1060 Vienna
Phone: ++43 - (0)1 - 599 91 - 0
Fax: ++43 - (0)1 - 599 91 - 555
Web page: http://link.springer.de/link/service/journals/00181/index.htm
More information through EDIRC

Order Information:
Web: http://link.springer.de/orders.htm

Related research

Keywords:

References

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

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Famoye, Felix & Wang, Weiren, 2004. "Censored generalized Poisson regression model," Computational Statistics & Data Analysis, Elsevier, vol. 46(3), pages 547-560, June.
  2. Westerberg, Thomas, 2006. "Two Papers On Fertility - The Case Of Sweden," UmeÃ¥ Economic Studies 683, Umeå University, Department of Economics.
  3. Westerberg, Thomas, 2006. "MoreWork, Less Kids - The Relationship Between Market Experience and Number of Children," UmeÃ¥ Economic Studies 682, Umeå University, Department of Economics.
  4. Jörgen Hellström, 2006. "A bivariate count data model for household tourism demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 213-226.

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:spr:empeco:v:20:y:1995:i:2:p:183-96. 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: (Guenther Eichhorn) or (Christopher F Baum).

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.