The gini coefficient, the most commonly used measure of inequality, measures the extent to which the distribution of income among individuals or households deviates from a perfectly equal distribution. In a perfectly equal system, the gini coefficient would be zero, with a gini coefficient of 100 would be the least equal distribution possible. Metadata [i] Joseph Stiglitz, 2012. “The Price …
Metadata [i] Heinz Center. “Human Links to Coastal Disasters,” The H. John Heinz III Center for Science, Economics and the Environment (2000). [ii] Institute of Government Studies, Resilience Capacity Index, The University of California Berkeley. http://brr.berkeley.edu/rci/site/sources Download Data:
Metadata [i] K. Murphy, C. Juhun, and B. Pierce, “Wage Inequality and the Rise in Returns to Skill,” Journal of Political Economy 101, no. 3 (1993).
Metadata [i] K. Mulligan, E. Moretti, and P. Oreopoulos. “Does Education Improve Citizenship? Evidence from the U.S. and the U.K.,” National Bureau of Economic Research, working paper 9584 (2003).
Metadata [i] R. Cervero and J. Murakami, “Effects of Built Environments on Vehicle Miles Traveled: Evidence from 370 US Urbanized Areas,” Environment and Planning 42 (2010): 400-418.
Unemployment data come from two different sources: the American Community Survey (ACS) and the Local Area Unemployment Statistics (LAUS). Employment and unemployment estimates from the ACS and LAUS can differ because the surveys use different questions, samples, and collection methods. To learn more about each source, visit the Unemployment section of our Metadata page. Metadata [i] Oregon Employment Department [ii] …
Metadata [i] Ian Parry, “Automobile Externalities and Policies,” Resources for the Future (2007). [ii] Roger Gorham, “Air Pollution from Ground Transportation,” Global Initiative on Transport Emissions United Nations (2002).