HIV and Fertility Revisited / Sebnem Kalemli-Ozcan, Belgi Turan.

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Kalemli-Ozcan, Sebnem

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TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w16115.Publication details: Cambridge, Mass. National Bureau of Economic Research 2010.Description: 1 online resource: illustrations (black and white)Subject(s):

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Abstract: Young (2005) argues that HIV related population declines reinforced by the fertility response to the epidemic will lead to higher capital-labor ratios and to higher per capita incomes in the affected countries of Africa. Using household level data on fertility from South Africa and relying on between cohort variation in country level HIV infection, he estimates a large negative effect of HIV prevalence on fertility. However, the studies that utilize the recent rounds of Demographic Health Surveys, where fertility outcomes are linked to HIV status based on testing, find no effect of the disease on the fertility behavior. This paper tries to bridge this gap by revisiting Young's findings. Young (2005) includes data before 1990, when no data are available on HIV prevalence rates. He assigns all the fertility observations before 1990 with HIV prevalence rates of zero, and this appears to drive the significant negative effect found in his study. When one restricts the sample to the period 1990-1998, where actual HIV data are available, the effect of HIV prevalence on fertility turns out to be positive for South Africa. Simulating Young's model utilizing these new estimates shows that the future generations of South Africa are worse off.

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Item type	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Working Paper	Biblioteca Digital	Colección NBER	nber w16115 (Browse shelf(Opens below))	Not For Loan

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June 2010.

Young (2005) argues that HIV related population declines reinforced by the fertility response to the epidemic will lead to higher capital-labor ratios and to higher per capita incomes in the affected countries of Africa. Using household level data on fertility from South Africa and relying on between cohort variation in country level HIV infection, he estimates a large negative effect of HIV prevalence on fertility. However, the studies that utilize the recent rounds of Demographic Health Surveys, where fertility outcomes are linked to HIV status based on testing, find no effect of the disease on the fertility behavior. This paper tries to bridge this gap by revisiting Young's findings. Young (2005) includes data before 1990, when no data are available on HIV prevalence rates. He assigns all the fertility observations before 1990 with HIV prevalence rates of zero, and this appears to drive the significant negative effect found in his study. When one restricts the sample to the period 1990-1998, where actual HIV data are available, the effect of HIV prevalence on fertility turns out to be positive for South Africa. Simulating Young's model utilizing these new estimates shows that the future generations of South Africa are worse off.