Part B: Week 6 Introduction Flashcards

1
Q

Solow growth model (2)

A

Resources flow to take advantage of arbitrage opportunities

Diminishing returns to capital exist - so capital flows to poorer countries to allow them to catch up with rich countries.

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2
Q

What does long run development depend on in the closed economy (3)

A

Initial endowments
Technology
Preferences

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3
Q

Open economy - regarding technology and trade

A

Technology flows remove technology differences between countries, resulting in equal A. (Unlike closed model, where tech determines development, and same as neoclassical - tech flows are free and immediate)

Trade in goods = factor prices, so endowments should not matter (opposes closed theory) , and so there should be convergence

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4
Q

Has there been convergence in growth rates?

A

No - divergence actually

So open model idea of trade in goods equalising factor prices removing endowment importance and convergence is proved wrong

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5
Q

Which population has the largest proportion of people living in extreme poverty?

A

Sub Saharan Africa

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6
Q

There is the idea of poor but happy. So poverty not just about income

What should be included when considered poverty (4)

A

Poor health
Poor education
Difficulty to realise your ambition (get loans, insurance etc)
Poor quality of life

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7
Q

Are the poor trapped? Poor today poor tomorrow: Reasons (3)

A

Poor today, poor tomorrow because of…

Low education, poor health, low productivity

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8
Q

What are the policy implications to solve this? Sachs

A

Foreign aid - then once richer/healthier/better educated, they can support themselves

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9
Q

Are the poor trapped? Reason for no

A

Reasons are complicated and specific to the context (country)

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10
Q

Policy implications of using money (e.g foreign aid) when no poverty trap exists

A

Providing money will not help, does not fix underlying reasons

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11
Q

2 views on poverty traps

A

Sachs and Easterly

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12
Q

What influences development in Sachs

A

Geography influences economic development.

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13
Q

So according to Sachs, why are poor countries stuck in a trap? (4)

A

Weather - hot and infertile

Low productivity>low income>can’t buy climate adaption tech>prod remains low

Malaria infested>low productivity>can’t afford prevention>remain malaria-infested

Landlocked - expensive or politically difficult to export

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14
Q

What was the big push

A

Foreign aid can solve these issues to improve productivity and income to invest in their own country to be able to support themselves

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15
Q

Poverty trap S curve (pg 23)

A
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16
Q

Now Easterly’s view on poverty traps (White Man’s Burden)

A

No poverty traps

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17
Q

Why did he believe this (evidence)

A

Many examples of countries who made their way out without aid.

Also little growth in Africas GDP per capita despite aid. (Against Sachs big push)

18
Q

So what did Easterly believe causes of poverty were then? (3)

A

Corruption, autocratic politics.

Absent institutions

Dysfunctional bureaucracy. Local details matter

19
Q

White man’s burden

A

Aid is harmful - it creates dependencies and corruption

20
Q

How does aid create corruption

A

Leakages - passes through bureaucrats

21
Q

When does Easterly believe poor can support themselves?

A

Free markets and right incentives

22
Q

How can the poor do this?

A

Local solutions found by trial and error, specific to their context

23
Q

Example of White Man’s burden and 2 findings

A

Free distribution of malaria bednets
- people dont value when free.
- aid dependency - people will not pay once free distribution ends.

24
Q

Key advantage of free markets

A

Provide information on preferences
- i.e only people buying own nets make sure nets go to those who value and need the most.

25
L shaped poverty trap (pg 23)
Just poverty trap diagram with no trap
26
Health based poverty trap idea B) Health-income cycle
People cannot work because they are sick, remain sick and do not have income to afford a doctor. Thus income is a function (determinant) of health yt+1 = f(ht), f’>0 but health is also a function (determinant) of income (reverse causality!)
27
Health based poverty trap diagram (pg 32)
Same S shaped curve (capacity) Linear line is piece rate . Y axis is work capacity, X axis is employment income.
28
So how do we find whether poverty traps exist or not in graphical form?
See whether S shaped (trap exists) or L shaped (no trap).
29
What is the key to addressing poverty traps
Identify factors which create a trap. Need GOOD DATA
30
How can we answer these small questions to understand choices of the poor (e.g not valuing free provisions for malaria) 2 important things we need in answering these questions
Theory - identify causal factors Empirical analysis - find which factors are most relevant under certain environments
31
Sachs v Easterly on Malaria bednets
Sachs: free provision Easterly: free markets - let them buy at full price
32
3 Questions to be asked in this experiment
Will people buy at full price Will people use for free Will people buy if no longer made free?
33
Evidence favouring Sachs Millenium village, and Eval
It’s about fertiliser. People can’t afford fertiliser. So… free fertiliser led to harvest multiplying. With extra income they can support themselves forever. Eval: if profitable, why did farmers not buy a little, then earn more, then buy more etc?
34
Why did they not buy fertiliser in small bits
Only available in large quantities - indivisible investment therefore a trap
35
Farmers also did not know how fertiliser works, how profitable, or if applicable for their land. Trap or not?
Information constraints are not a trap
36
Farmers can’t save between harvest and planting season Trap or not?
Saving constraints are not a trap - there were reasons such as behavioural issues such as present bias, etc that makes them save less than optimal
37
So what do not contribute to traps (2)
Saving constraints Information constraints
38
Problem of just using observational data
Selection issues - can’t simply just compare farmers bought fertiliser vs have not.
39
So what should we use and why?
Random controlled trials - to prove any difference between results are due to the treatment
40
So from then we can test information and saving constraints in RCT
E.g through info provision, control vs treatment Etc