September 12, 2017

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Statistics reveals new, more precise insight into upward mobility between generations

Credit: CC0 Public Domain
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Credit: CC0 Public Domain

As political rhetoric containing promises of education, social opportunities and other development for disadvantaged people continues to fill the airwaves, economics researchers have developed state-of-the-art statistical methods that uncover the impact of different aspects of upward mobility (or lack thereof), aside from parental income. The new research, titled "Status Traps," appears in a recent issue of the Journal of Business & Economic Statistics.

Historically, mobility between generations has been measured by intergenerational elasticity of income (IGE)—an estimate that has varied over the years. "Surprisingly, most efforts to measure intergenerational mobility pay relatively little attention to the mechanisms that underlie links between offspring and parental income," said Steven Durlauf, professor in the Harris School of Public Policy at The University of Chicago. "This new research expands on mobility calculations by focusing on factors such as neighborhood and parental cognitive and non-cognitive skills as determinants of mobility."

Durlauf teamed up with Andros Kourtellos, professor in the department of economics at the University of Cyprus, and Chih Ming Tan, professor in the department of economics at the University of North Dakota. To calculate more precise figures, researchers use three data sets: the Panel Study of Income Dynamics (PSID) to address earnings of offspring over time; the National Longitudinal Survey of Youth (NLSY) to study how family background affects the mobility prospects of individuals; and US administrative data at the commuting zone (CZ) level to explore determinants of upward mobility experiences of lower families across CZs.

Some of the key findings include the following:

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