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Economics Year 1 Bundle - Applied Economics notes £7.59   Add to cart

Lecture notes

Economics Year 1 Bundle - Applied Economics notes

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Achieved grade: 1st Exceptional notes on textbook and lectures for Applied Economics at University of Birmingham.

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  • January 7, 2022
  • 24
  • 2020/2021
  • Lecture notes
  • Mr j. bromfield
  • All classes
All documents for this subject (6)
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zackcohen
Topic 1
1.1 Why do we want to study
inequality?
Welfare  Perceived status
consideration  Happiness
Trust and social  Co-operation
capital  Damages on social capital and trust
 Crime rates
Socio-political  Perception of lack of social justice
instability  Unrest
 Polarising society + putting democratic
institutions into jeopardy
Economic growth  Controversial theories: inequality can
facilitate + retard growth
 Industrialisation
 Improved health and education
 Political reforms and stability
 Inequality associated with financial crisis
Positive implications of inequality
 Excessive equality can be bad for economic efficiency
 Provides economic incentive
 May be based on choice: leisure vs. income, attitudes towards risk

1.2 Forms of inequality
Personal income distribution  Graphical tool: Lorenz curve
 Inequality measures: Gini
coefficient
 Data: individual/household data
o Sources: income tax data,
family expenditure/income
survey
Factor/functional income  Factors of production: labour
distribution income share vs capital income
share
 May have problems of
definition
 Labour income share = roughly
60% of total income
Global income distribution 

,Lorenz Curve




 The further to the left/higher the curve = more perfect equality
 When 2 coefficients’ cross (as below): more information needed before
determining which economy is more unequal




Gini Coefficient
 Ranges from 0 (perfect equality) to 1 (perfect inequality)

, Calculating Gini coefficient




 Area of each trapezium = (a +b) ÷ 2
Advantages Disadvantages
 Easy to calculate  Not additive across groups
 Takes account entire  Top or bottom of distribution equally
income distribution weighted
 Different Lorenz curves indicate same
Gini coefficient
 Can be calculated even
if data not divided into
percentiles/quintiles/dec
iles




Why has inequality gone up?
1. Change in industrial structure
2. Higher returns to education/skill premium due to tech process
3. Urban/rural + regional divergences
4. Demographic changes

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