Abstract
Macroeconomic empirical findings on gendered employment and economic growth are sparse but rich. This is because few integrated multisectoral frameworks have been developed that delineate by gender. To analyze gendered economic growth from an integrated multisectoral perspective by using an input-output (I-O) framework, gendered I-O accounts must be developed. Such accounts for developing and transitioning countries remain limited. With the hope of encouraging others, we discuss how we develop a series of gendered input-output accounts and with a goal of performing structural decomposition analyses. We do so for China for 2002, 2007, 2012, and 2017. We, thus, lean heavily on a few rather obscure sets of employment data available on China that include information by gender. It turns out that aggregation of sectors is an unfortunate but necessary byproduct of the process in the Chinese case. So, we detail how we break out employment by industry for two basic socio-demographic characteristics: education level and gender. We suggest that the approach revealed herein is one that others might follow to generate gendered accounts.