Abstract
Due to data limitations, current multidimensional measures of poverty use household rather than the individual as the unit of analysis. Household measures are unable to capture intrahousehold differences in resource allocation which differ along gender lines. This paper uses data from the Karnataka Household Asset Survey to construct an individual level multidimensional poverty measure for Karnataka, India. Our results show that individual level measures can identify substantial gender differences in poverty that are masked when using household measures. Thus, gender-disaggregated data and analysis can provide a useful complement to household level poverty measures.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
