Multidimensional poverty measurement and analysis is evolving rapidly. Quite recently, a particular counting approach to multidimensional poverty measurement, developed by Sabina Alkire and James Foster, has created considerable interest. Notably, it has informed the publication of the Global Multidimensional Poverty Index (MPI) estimates in the Human Development Reports of the United Nations Development Programme since 2010, and the release of national poverty measures in Chile, Mexico, Colombia, Bhutan and the Philippines. The academic response has been similarly swift, with related articles published in both theoretical and applied journals.
The high and insistent demand for in-depth and precise accounts of multidimensional poverty measurement motivates this book, which is aimed at graduate students in quantitative social sciences, researchers of poverty measurement, and technical staff in governments and international agencies who create multidimensional poverty measures.
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Page 3 of 75
Ana Swanson of Wonkblog examines a series of animated maps created by Jishai Evers of Dadaviz showing the states and counties where different generations (“Greatest Generation” to “Generation Z”).
A few generations ago, most people lived out their lives in the places where they were born. Today, Americans are used to moving, often due to the pull of economic opportunity. Teenagers move across the country to go to college, 20- and 30-somethings flock to cities for jobs, and white-haired “snow birds” head to Florida or Arizona to escape the winter.
The Economics Daily (from the Bureau of Labor Statistics) reports on the percent changes in average hourly earning by state, May 2014 to May 2015 using data from the Current Employment Statistics (State and Metro Areas).
Christopher Ingraham of Wonkblog writes about a new analysis of family data data by Nicholas Wolfinger:
Conventional wisdom has it that the older you are when you get married, the lower your chances for divorce. But a fascinating new analysis of family data by Nicholas H. Wolfinger, a sociologist at the University of Utah, suggests that after a certain point, the risk of divorce starts to rise again as you get older.
See Wolfinger’s report at Family Studies: Want to Avoid Divorce? Wait to Get Married, But Not Too Long.
See also his follow up, Replicating the Goldilocks Theory of Marriage and Divorce.
Scott Keeter, Pew Research Center’s director of survey research, discusses declining response rates and what it means for survey reliability.
The National Vital Statistics System released Births: Preliminary Data for 2014. The general fertility rate increased by 1% (the first increase since 2007), though the birth rate for teenagers and women aged 20-24 continued to decrease (both rates are at historic lows). The birth rates for women aged 30-34 and 35-39 seem to be driving the overall fertility increase: the number of births in these age groups increase by 4% and 5% respectively.
Emily Badger of Wonkblog examines how race influences where we choose to live.
Every day renters walk into the Oak Park Regional Housing Center certain they don’t want to live on the east side of town. The east side of town, in this small suburb that borders Chicago, is geographic code for uncomfortably close to where the poor blacks live.
See also the Wonkblog piece on the Obama administration’s new rules targeting segregation.
Jonnelle Marte of Wonkblog examines the costs of renting.
For many households, the monthly rent check is so big that it eats up the majority of their paycheck — and the burden is growing. Some 20.7 million rental households — or about half of all renters– spent more than 30 percent of their income on housing in 2013, according to a report from the Harvard Joint Center for Housing Studies. About 11 million of those households spent more than half of their paycheck on rent and utilities, up 37 percent from 2003, the study found. (Financial advisers typically recommend that people spend less than a third of their pay on housing costs.)
Emily Badger and Darla Cameron of Wonkblog examine the ways railroads, highways and other man-made lines divided American cities by race.
Like many metaphors, “the other side of the tracks” was originally a literal epithet. Blacks were often historically restricted to neighborhoods separated from whites by railroads, turning the tracks into iron barriers of race and class.
In many cities, these dividing lines persist to this day — a reflection of decades of discriminatory policies and racism, but also of the power of infrastructure itself to segregate.