106m missing women

Doug Henwood dhenwood at panix.com
Thu Dec 13 15:54:42 PST 2001


"A Turning Point in Gender Bias in Mortality? An Update on the

Number of 'Missing Women'"

BY: STEPHAN KLASEN

University of Munich (LMU)

Department of Economics

CESifo (Center for Economic Studies and Ifo

Institute for Economic Research)

CLAUDIA WINK

DEG-German Investment and Development Company

Document: Available from the SSRN Electronic Paper Collection:

http://papers.ssrn.com/paper.taf?abstract_id=287035

Paper ID: Munich Discussion Paper Series No. 01-13

Date: October 1, 2001

Contact: STEPHAN KLASEN

Email: Mailto:Klasen at lrz.uni-muenchen.de

Postal: University of Munich (LMU)

Department of Economics

Ludwigstrasse 28

D-80539 Munich, GERMANY

Phone: +49-89-21802459

Fax: +49-89-21803954

Co-Auth: CLAUDIA WINK

Email: Mailto:wi at deginvest.de

Postal: DEG-German Investment and Development Company

Postfach 45 03 40

D-50878 Koln, Cologne, GERMANY

ABSTRACT:

Amartya Sen started an important debate about the magnitude of

the female survival disadvantage in parts of the developing

world by defining the term 'missing women' and estimating its

number. In this paper we provide an update on the number of

missing women based on most recent demographic data. Our

preferred estimate suggests that the number of missing women

currently stands at about 106 million. This presents an absolute

worsening, but a relative improvement, compared to earlier

estimates. There are, however, great regional differences in

these time trends. After significant improvements in Bangladesh

and Pakistan, India now has the highest share of missing

females. While the most important correlates of excess female

mortality (in particular women's education and women's

employment) have improved in most regions and contributed to the

relative improvement, improved methods of discrimination against

females have ensured that discrimination against young girls in

particular is increasing in some regions. In this context, sex

selective abortions appear to become a more important mechanism

of gender bias in mortality in China and India.

Keywords: Missing Women, Gender Bias, Mortality, Developing

Countries



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