NCAER - NATIONAL DATA INNOVATION CENTRE
Professor Sonalde Desai wrote a book chapter on “Building Capacity for Leveraging Longitudinal Data for Evaluation”, M&E @70: Strengthening India’s Evidence Systems for Accelerated Reforms and Inclusive Growth, A Compendium of Essays. The Compendium of Essays was released on March 16, 2022 at DMEO’s Second National Conference on Monitoring, Evaluation and Learning by Hon’ble Vice Chairman, NITI Aayog.
Over the past two decades, we have seen an explosion in research on the topic of women’s empowerment and its related dimensions, yet there remains much to be done in terms of clarifying conceptual pathways and best practices in measurement. This review traces the intellectual and historic context in which women’s status and empowerment in lower- and middle income countries have been measured, the conceptual and operationalization challenges in shaping research questions, the use of empirical measures and their connection to levels of social analysis, and the identification of emerging directions for future research. With the recognition that empowerment is as much a collective process as it is individual, we argue that a more integrative and multidisciplinary approach to empowerment is needed. This would require incorporating an intersectional lens, employing the life course approach, and tapping into diverse sources of data that can together strengthen future research.
This article examines the difference between the estimates of unemployment rate and worker population ratio in urban areas in the Periodic Labour Force Surveys for the quarters ending March and June 2021. It further investigates the sample size needed if the survey is to be equipped to detect the quarterly changes of specified magnitudes in the respective population parameter.
In the wake of the COVID-19 pandemic, telephone surveys have been used extensively for carrying out studies on health knowledge, morbidity, and mortality surveillance. In order to understand the extent of different sources of non-observation errors in telephone surveys, we compare the distributions of units covered in the sampling frame and survey respondents with those who were excluded from the sampling frame and survey nonrespondents, respectively. The distributions are compared with respect to key socio-economic and demographic characteristics, which are often associated with most health outcomes for two different study designs, viz., panel surveys and repeated cross-sectional surveys.
Several changes may have taken place in the lives of Indian women but gendered realities continue to reflect in their status in a family every day.
