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
Q

L shaped poverty trap (pg 23)

A

Just poverty trap diagram with no trap

26
Q

Health based poverty trap idea

B) Health-income cycle

A

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
Q

Health based poverty trap diagram (pg 32)

A

Same S shaped curve (capacity)
Linear line is piece rate
. Y axis is work capacity, X axis is employment income.

28
Q

So how do we find whether poverty traps exist or not in graphical form?

A

See whether S shaped (trap exists) or L shaped (no trap).

29
Q

What is the key to addressing poverty traps

A

Identify factors which create a trap. Need GOOD DATA

30
Q

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

A

Theory - identify causal factors

Empirical analysis - find which factors are most relevant under certain environments

31
Q

Sachs v Easterly on Malaria bednets

A

Sachs: free provision
Easterly: free markets - let them buy at full price

32
Q

3 Questions to be asked in this experiment

A

Will people buy at full price
Will people use for free
Will people buy if no longer made free?

33
Q

Evidence favouring Sachs Millenium village, and Eval

A

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
Q

Why did they not buy fertiliser in small bits

A

Only available in large quantities - indivisible investment therefore a trap

35
Q

Farmers also did not know how fertiliser works, how profitable, or if applicable for their land.

Trap or not?

A

Information constraints are not a trap

36
Q

Farmers can’t save between harvest and planting season

Trap or not?

A

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
Q

So what do not contribute to traps (2)

A

Saving constraints
Information constraints

38
Q

Problem of just using observational data

A

Selection issues - can’t simply just compare farmers bought fertiliser vs have not.

39
Q

So what should we use and why?

A

Random controlled trials - to prove any difference between results are due to the treatment

40
Q

So from then we can test information and saving constraints in RCT

A

E.g through info provision, control vs treatment

Etc