WE - Introduction & Insurance Theory

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Last updated 8:20 PM on 10/1/26
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49 Terms

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Trend in social spending

rising for most OECD countries

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Largest share of Spending

old age and health

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Recent trends of the welfare

1) globalization
2) demographic change
3) increased female labor force participation
4) technological change
5) Flexwork, gig economy
6) COVID

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Why is there a welfare state (2 functions)

1) Redistribution (Robin Hood)
2) Market failures (piggy-bank function)

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Redistribution is about …

allocation of the pie (equity)

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Parts of redistributive function of the welfare state

1) poverty relief
2) reducing inequality
3) social inclusion

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Social welfare function (SWF)

aggregates utility functions of all individuals

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Utilitarian social welfare

maximise the sum of individual utilities

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Utilitarian social welfare function

W = U1 + U2 + U3 + … Un

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Rawlsian social welfare

maximise the utility of the worst-off person in society

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Rawlsian social welfare function

W = min(U1,U2,… Un)

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Alleviating market failures is about …

the size of the pie (efficiency)

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Parts of alleviating market failures

1) Externalities
2) Bounded rationality
3) Information asymmetry

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Expected consumption (formula in words)

E(C) = probability of bad outcome * consumption in bad outcome + 1-probability of bad outcome * consumption in good outcome

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Utility of expected consumption (formula)

U(E(C))

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Expected utility in risky situation (formula words)

E(U) = probability of bad outcome * Utility function(consumption in bad outcome) + 1-probability of bad outcome* Utility function(consumption in good outcome)

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Loss of utility due to risk (formula)

U(E(C)) - E(U)

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Interpretation C*

with certain consumption C*, I am equally well of as in the risky situation (same utility)

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Deriving Consumption with same utility (C*) - words

Expected Utility in risky situation = Utility of C*

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Deriving Consumption with same utility (C*) - formula

Utility function(C*) = probability of bad outcome * Utility function(consumption in bad outcome) + 1-probability of bad outcome* Utility function(consumption in good outcome)

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Willingness to pay for certainty (words)

= monetary value of utility loss

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Willingness to pay for certainty (formula)

E(C) - C*

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Willingness to pay for certainty (formula in words)

Expected consumption - C*

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Three objectives when designing the welfare state

1) Equity
2) Efficiency
3) Administrative feasibility

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Equity includes

1) poverty relief
2) reducing inequality
3) social inclusion

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Def. efficiency

making the best use of limited resources given people’s tastes (or preferences) and the available technology

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Administrative feasibility

1) system should be simple, easy to understand and cheap to administer
2) benefits should be as little open to abuse as possible

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Types of government intervention

1) cash transfer
2) subsidies and taxes
3) production
4) regulation

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Relationship of three objectives of the welfare state

cannot reach all three objectives together = always a trade off

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Types of government intervention - cash transfers

1) unconditional
2) contribution-based
3) means-tested

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Unconditional cash transfers example

child benefits

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Contribution-based cash transfers

unemployment or disability benefits

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Means-tested cash transfers

social assistance, housing benefits

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Types of government intervention - subsidies and taxes

child care, taxes on cigarettes

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Types of government intervention - production

of health or education

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Types of government intervention - regulation

1) Quality standards
2) Quantity
3) Price

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Regulation - Quality

consumption, health care, education

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Regulation - Quantity

schooling

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Regulation

minimum wage

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Empirical tools to evaluate design of the welfare state

1) randomized trials
2) quasi-experiment
3) structural modelling

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why government intervention is needed in the form of the welfare state

address redistribution issues and market failures

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Why do people want insurance?

Risk/Loss aversion

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Why does the government need to provide insurance in some cases?

asymmetric information

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Actuarially fair premium (formula)

probability of bad situation x amount insurance firm hast to pay in bad situation

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Willingness to pay for insurance (formula in words)

Willingness to pay for certainty + actuarially fair premium

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Deductible in Insurance exercise

how much individual has to pay themselves

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Def. Actuarially fair premium

How much insurance firm should ask so they do not go bankrupt

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In situation with asymmetric information, how will insurance firm operate?

use the average probability of bad outcome of all groups

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Calculating average probability of bad outcome

0.5* bad probability group 1 + 0.5*bad probability group 2