This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Status of Women Indicators, Infant Mortality Rate and Birth Rate: A study of High Crude Birth Rate Districts of Pakistan

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Mohammad Pervez Wasim (Applied Economics Research Centre, University of Karachi, Karachi-75270, Pakistan)

Additional information is available for the following registered author(s):

Abstract

Pakistan, with a population of 139 million in 2000, is the seventh most populous country in the world. The historical trends indicate a continuous and exponentially increasing growth in population because of sustained high fertility and declining mortality. Currently the population is growing at around 2.2 percent per annum, one of the highest rates of growth (after Nigeria) in the world. In Pakistan, the contraceptive prevalence is still low (24 percent) and fertility level (TFR 5.0) is among the highest in the world. There has been only a marginal decline in fertility in Pakistan in the last two and a half decades. An average married woman in Pakistan still experiences a total of at least seven children if she survives and completes her reproductive periods. Pakistan was amongst the pioneering countries to launch a family planning program in the public sector forty years ago (1960s) but unlike many other less developed countries having success stones in family planning, it has not yet achieved widespread acceleration of adoption of family planning measures. The purpose of this paper is to evaluate the impact of women work participation, female age at marriage, female literacy rate, sex ratio and infant mortality rate on high crude birth rate districts of Pakistan by using data from 1998 population census. A multiple regression model is used for analyzing the data. The results of the analysis reveal that all the variables which are included in the model are equally important. Female age at marriage and female literacy are significant and negatively related to birth rate, while sex ratio and infant mortality rate are statistically significant and positively related to birth rate. Women's work participation is also positive but statistically insignificant.

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.

Publisher Info
Article provided by Department of Economics, Delhi School of Economics in its journal Indian Economic Review.

Volume (Year): 37 (2002)
Issue (Month): 1 (January)
Pages: 117-134
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:dse:indecr:v:37:y:2002:i:1:p:117-134

Contact details of provider:
Postal: Delhi 110 007
Phone: 91-11-2766-6533/34/35, 2766-6703/04/05
Email:
Web page: http://www.econdse.org/
More information through EDIRC

Order Information:
Email:
Web: http://www.ierdse.org/

For technical questions regarding this item, or to correct its listing, contact: (Pami Dua).

Related research
Keywords: Status of Women Indicators; Crude birth rate; crude death rate; multiple regression model; Pakistan;

Find related papers by JEL classification:
J10 - Labor and Demographic Economics - - Demographic Economics - - - General

Statistics
Access and download statistics

Did you know? You can use convenient plug-ins to search directly IDEAS from your browser.

This page was last updated on 2009-10-29.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.