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Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"

China's Poverty Statistics

Publication Abstract

Park, Albert F., and Sangui Wang. 2001. "China's Poverty Statistics." China Economic Review, 12(4): 384-398.

China's official poverty statistics show a dramatic reduction in poverty from 31% of the rural population in 1978 to 3% in 2000. We evaluate possible sources of bias in these estimates and conclude that the official statistics underestimate rural poverty and overstate the speed of poverty reduction. Direct measures of nutritional outcomes support the contention that poverty is more widespread than suggested by official statistics. Priority should be given to constructing new statistics to accurately measure urban poverty. The method for calculating county income per capita, a key policy variable affecting official poor county designation, is ad hoc and subject to political influence.

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