📢 Publication Alert
Glad to see our work on Women’s Legal Rights and Gender Gaps in Property Ownership in Developing
Countries in *Population and Development Review*
Joint with Isis Gaddis and Hema Swaminathan
@wb_research @IIM_Bangalore@UNUWIDER
https://t.co/dof4td7sO7
Thanks to @CarlosGradin @TimothyShipp for all the efforts to put it together, @kunalsen5@apvjustino for backing the project, Bestario (https://t.co/KEyTi8T7bt) that helped execute the project and the entire @UNUWIDER team.
We have built this over the last year to help improve the understanding of country, regional and global inequality over time and present the WIID Companion database so that it reaches out to the general public at large.
📢 Today, we release the #WIID Explorer, new tool for accessing & analysing our data on income #inequality. With it, you can access global income #inequality statistics, conduct independent analysis, and create graphs, charts, and tables. Find out more! https://t.co/O6TPpgx5fq
There are multiple facts about inequality in the world based on survey data that are waiting to be explored and shared. So play with it, discuss your findings, debate the numbers and the causes, provide feedback, file bugs and share your findings. We will keep improving it.
Thanks to @working_india at @azimpremjiuniv and everyone there who gave us an opportunity to do most of this work. Also, thanks to those who have given us invaluable feedback and critiqued our analysis. Look forward to more productive feedback!
In this paper, using high-frequency household survey data we show that even two years after the pandemic economic recovery is uneven and partial. Poverty doubled during the lockdown and hasn't recovered to pre-pandemic levels even till Dec 2021.
New research @MrinaliniJha22 and @rahullahoti investigates the #COVID19 pandemic and the long uneven recovery in #India, with some interesting findings!
Read more at https://t.co/KXR3KYlfOH #SDG8
We also discuss the limitations of CPHS data in-depth and its possible implications on our results. Data is not perfect and if taken at face value might lead to incorrect interpretations so it has to be considered in light of other evidence.
Excited to present work with co-authors today at the #IAFFE2022 conference at three separate sessions. Short thread on what we're going to be presenting 👇
What happens to women's employment around marriage and motherhood? Using unique retrospective data, we contest traditional understanding of 'motherhood penalty' @rahullahoti Hema Swaminathan. Working paper here: https://t.co/zJKkAoykee
How does proxy (spousal) reporting affect employment estimates? Men under-report women's work (no surprises there!), but different kinds of households under-report different kinds of work @rahullahoti@Nishat_1495
Thanks to the Women Business Law Database @WBG_Gender for providing the data and answering our queries. Thanks to @DHSProgram for collecting sex-disaggregated asset data that made it possible to do this analysis.
📢 Publication Alert
Glad to see our work on Women��s Legal Rights and Gender Gaps in Property Ownership in Developing
Countries in *Population and Development Review*
Joint with Isis Gaddis and Hema Swaminathan
@wb_research @IIM_Bangalore @UNUWIDER
https://t.co/dof4td7sO7
Thankful to the editors, and reviewers for helping us improve the paper. Thanks to @Guenther_ETH for giving me a chance to work on the paper when at @ETH_NADEL. Thanks to numerous colleagues who commented on the paper. @wb_research for funding the initial aspects of the research.