Study Relies on Census Data
The study draws on the 2013 edition of the U.S. Census Bureau’s American Community Survey, which includes detailed data on economic, housing, educational, and healthcare circumstances of people living in the United States.
Dhongde, a faculty member in the School of Economics within the Ivan Allen College of Liberal Arts, is in the vanguard of economic researchers examining multidimensional deprivation in the United States. Thinking of deprivation in a multidimensional manner is a way of looking beyond income while measuring poverty.
“The main idea is that you change the lens and look at overlapping deprivations,” she said. “So I’m not separately looking at what percent of the elderly population was deprived in X and what percent was deprived in Y and so on. Instead, I choose one individual and then analyze how many deprivations he or she is facing simultaneously.”
By examining multiple areas that can affect a person’s quality of life, Dhongde says the multidimensional poverty index can provide better insight into the population’s broader economic condition. It can also give policymakers tools to gauge where best to focus limited resources.
Multidimensional Analysis Gains Traction
The research follows up on a groundbreaking 2017 paper that Dhongde co-authored with Robert Havemen of the Institute of Research on Poverty at the University of Wisconsin-Madison. In that paper, Dhongde and Haveman showed that during the “Great Recession” which gripped the United States economy from 2008 to 2013, nearly 15 percent of working-age U.S. residents were deprived in at least two of the measures.
Most of those in the study who were multidimensionally deprived were low-income earners whose incomes exceeded the poverty line.
That paper was the first in the United States to take a comprehensive look at multidimensional poverty at a national level, but similar techniques are taking hold internationally.
The United Nations has used a similar approach in measuring poverty since 2010. The European Union has also adopted a multidimensional approach. The United States government, however, still assessed poverty largely using income data alone.
Dhongde said that her latest research suggests avenues for policymakers to approach quality-of-life issues and health care costs among the nation’s growing elderly population.
For instance, her research shows that people with little education are more likely to have health issues. This suggests that policy makers could address literacy as a way to help people make better health choices — and hold down the spiraling cost of health care.
New Areas of Study to include Transportation
Dhongde is now working to extend the research model to other fields that could benefit from such analysis.
She is currently working with Laurie Garrow, a professor of transportation systems engineering in Georgia Tech’s School of Civil and Environmental Engineering. Garrow is interested in developing a transportation deprivation index to help guide transit decisions — particularly in rural areas.
“As transportation engineers, we have regulatory requirements to ensure we are designing public transportation systems in ways that are fair and equitable for all individuals,” Garrow said.” By better understanding how transit dependency characteristics, such as income, employment, disabilities, etc., are related and how these characteristics are spatially distributed, we can design public transit services to better meet individuals’ needs.”
Dhongde said such a tool might use data sets to produce a comprehensive evaluation of transportation factors such as access to private cars, availability of mass transit, and even how often public transportation is available, and how far people have to travel to get groceries or go to school.
Dhongde’s new research appears in the book, Measuring Multidimensional Poverty and Deprivation: Incidence and Determinants in Developed Countries.