Editing Feminist economics (section)

====Gendered macroeconomic variables====
[[File:US womens earnings and employment by industry 2009.png|thumb|U.S. women's weekly earnings, employment, and percentage of men's earnings, by industry, 2009]]
{{See also|Gender pay gap}}

This approach demonstrates the effects of gender inequalities by enhancing macroeconomic models. Bernard Walters shows that traditional neoclassical models fail to adequately assess work related to reproduction by assuming that the population and labor are determined exogenously.<ref>{{cite journal|last=Walters|first=Bernard|title=Engendering macroeconomics: A reconsideration of growth theory|journal=World Development|date=November 1995|volume=23|issue=11|pages=1869–1880|doi=10.1016/0305-750X(95)00083-O|url=http://econpapers.repec.org/article/eeewdevel/v_3a23_3ay_3a1995_3ai_3a11_3ap_3a1869-1880.htm|citeseerx=10.1.1.475.293}}</ref> That fails to account for the fact that inputs are produced through caring labor, which is disproportionately performed by women. Stephen Knowels ''et al.'' use a neoclassical growth model to show that women's education has a positive [[statistically significant]] effect on [[labor productivity]], more robust than that of men's education.<ref>{{cite journal|last=Knowles|first=Stephen|author2=Lorgelly, Paula K.|author3=Owen, P. Dorian|title=Are educational gender gaps a brake on economic development? Some cross-country empirical evidence|journal=Oxford Economic Papers|date=January 2002|volume=54|issue=1|url=http://www4.fe.uc.pt/mapsd/knowleslorgellyowenoep02.pdf|pages=118–149|doi=10.1093/oep/54.1.118|access-date=2012-09-26|archive-date=2016-03-04|archive-url=https://web.archive.org/web/20160304025850/http://www4.fe.uc.pt/mapsd/knowleslorgellyowenoep02.pdf|url-status=dead}}</ref> In both of these cases, economists highlight and address the gender biases of macroeconomic variables to show that gender plays a significant role in models' outcomes.