Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

28
Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006

Transcript of Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Page 1: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172Issues in African Economic Development

Lecture 8

February 9, 2006

Page 2: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 2

Outline:

(1) Deworming in Kenya – public health policy issues

(2) New topic: The Economics of HIV/AIDS in Africa

Page 3: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 3

Cost-benefit calculations

• Cost of this program: US$1.46 per pupil per year• Cost of a larger-scale program in neighboring Tanzania:

only US$0.49 per pupil per year

Page 4: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 4

Cost-benefit calculations

• Cost of this program: US$1.46 per pupil per year• Cost of a larger-scale program in neighboring Tanzania:

only US$0.49 per pupil per year

• Deworming as a human capital investment:

Health gains More schooling Higher adult wages

Page 5: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 5

Cost-benefit calculations

• Deworming as a human capital investment:

Health gains More schooling Higher adult wages

• Deworming led to 7% gain in school participation• Previous study: each year of school 7% higher wages• Take these gains in wages (7% x 7%) over 40 years in

the workforce, discounted 5% per year

Page 6: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 6

Cost-benefit calculations

• Deworming as a human capital investment:

Health gains More schooling Higher adult wages

• Deworming led to 7% gain in school participation• Previous study: each year of school 7% higher wages• Take these gains in wages (7% x 7%) over 40 years in

the workforce, discounted 5% per year

Deworming benefits are at least three times (3x) as large as treatment costs (using the Tanzania costs)

Page 7: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 7

Given the returns, why is take-up not 100%?

Page 8: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 8

Given the returns, why is take-up not 100%?

• Possible explanations:

(1) Free-riding / externalities

-- Strong evidence people learned through their social network that the drugs were “not effective”

Page 9: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 9

Given the returns, why is take-up not 100%?

• Possible explanations:

(1) Free-riding / externalities

-- Strong evidence people learned through their social network that the drugs were “not effective”

(2) Socio-cultural explanations / resistance to new technologies (evidence from anthropology)

Page 10: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 10

The Impact of Higher Drug Costs

• In 1998, 1999, 2000 deworming was given for free• In 2001, parents in 25 randomly chosen Group 1 and

Group 2 schools paid US$0.10-0.30 per child

Page 11: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 11

The Impact of Higher Drug Costs

• In 1998, 1999, 2000 deworming was given for free• In 2001, parents in 25 randomly chosen Group 1 and

Group 2 schools paid US$0.10-0.30 per child

• 2001 deworming take-up:

Free-treatment schools: 75%

Cost-sharing schools: 18%

Page 12: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 12

Page 13: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 13

The Economics of HIV/AIDS in Africa

• Of the 42 million people worldwide thought to be infected with HIV, approximately 25 million (!) are in Sub-Saharan Africa

Page 14: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 14

Page 15: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 15

The Economics of HIV/AIDS in Africa

• Of the 42 million people worldwide thought to be infected with HIV, approximately 25 million (!) are in Sub-Saharan Africa

• In some countries in southern Africa (e.g. Botswana, Swaziland), it is claimed that over 35% are HIV+

Page 16: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 16

Page 17: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 17

Counting HIV+ people in Kenya

• Based on antenatal clinic survey data, the official UNAIDS estimate of HIV+ adults in Kenya by late 2001 was 15.0%

Page 18: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 18

Counting HIV+ people in Kenya

• Based on antenatal clinic survey data, the official UNAIDS estimate of HIV+ adults in Kenya by late 2001 was 15.0%

• The 2003 Kenya Demographic and Health Survey (DHS) tried to survey a representative subsample of population. 73.4% agreed to be tested

Page 19: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 19

Counting HIV+ people in Kenya

• Based on antenatal clinic survey data, the official UNAIDS estimate of HIV+ adults in Kenya by late 2001 was 15.0%

• The 2003 Kenya Demographic and Health Survey (DHS) tried to survey a representative subsample of population. 73.4% agreed to be tested– This data indicates that “only” 6.7% of Kenyan 15-49

year olds tested are HIV+!

Page 20: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 20

Page 21: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 21

Counting HIV+ people in Kenya

• Based on antenatal clinic survey data, the official UNAIDS estimate of HIV+ adults in Kenya by late 2001 was 15.0%

• The 2003 Kenya Demographic and Health Survey (DHS) tried to survey a representative subsample of population. 73.4% agreed to be tested– This data indicates that “only” 6.7% of Kenyan 15-49

year olds tested are HIV+!

• Which of the two numbers is better?

Page 22: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 22

Page 23: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 23

Whiteboard #1

Page 24: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 24

Whiteboard #2

Page 25: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 25

Whiteboard #3

Page 26: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 26

Whiteboard #4

Page 27: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 27

Whiteboard #5

Page 28: Economics 172 Issues in African Economic Development Lecture 8 February 9, 2006.

Economics 172 28

Map of Africa