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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"

A Poverty Profile for Rural Botswana

Archived Abstract of Former PSC Researcher

Watanabe, B., and Eva Mueller. "A Poverty Profile for Rural Botswana." World Development, 12, no. 2 (1984): 115-27.

Recognizing that for policy purposes it is important to learn in what ways households that are poor differ from households that have a more adequate income and recognizing that these differences may be the cause or consequence of low economic status, this paper compiles a "poverty profile" of rural Botswana. The data are taken from the Rural Income Distribution Survey conducted in 1975 by the Central Statistical Office of the Government of Botswana a sample of 950 randomly selected households in 20 rural areas. The survey data enable the authors to determine how close each household comes to meeting its basic requirements. The paper begins by explaining the derivation of "poverty income ratios"; it then relates the PlRs to the demographic characteristics of households, their education, location and asset holdings. There follows a description of differences in time use and sources of income among the five poverty ratio groups. The authors conclude with a discussion of the implications for policies aimed at the alleviation of poverty.

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