A presentation conducted by Dr Mark Harrison ,SMART Infrastructure Facility, University of Wollongong.
Presented on Wednesday the 2nd of October 2013.
Traffic accidents impose large costs, with 1,291 road deaths in Australia in 2011. The total costs of road accidents were estimated to be $17 billion in 2003, equivalent to 2.3 per cent of that year’s GDP, averaging around 8.4 cents per vehicle kilometre. The Productivity Commission has recommended replacing tort law with a compulsory, government run first party insurance scheme, where all victims receive compensation from the state, regardless of fault. The proposal is being implemented across Australia, NSW has adopted it this year. Contrary to the PC’s assertions, the evidence is that no fault insurance would increase traffic fatalities by 10-30 per cent,
and accidents by even more. This has implications for the safety design of road infrastructure.An inter-disciplinary approach is taken, in this paper, combining, law, economics and transportation engineering to examine the
interaction of legal rules, insurance arrangements, economic incentives and physical infrastructure.
A presentation conducted by Dr Mark Harrison ,SMART Infrastructure Facility, University of Wollongong.
Presented on Wednesday the 2nd of October 2013.
Traffic accidents impose large costs, with 1,291 road deaths in Australia in 2011. The total costs of road accidents were estimated to be $17 billion in 2003, equivalent to 2.3 per cent of that year’s GDP, averaging around 8.4 cents per vehicle kilometre. The Productivity Commission has recommended replacing tort law with a compulsory, government run first party insurance scheme, where all victims receive compensation from the state, regardless of fault. The proposal is being implemented across Australia, NSW has adopted it this year. Contrary to the PC’s assertions, the evidence is that no fault insurance would increase traffic fatalities by 10-30 per cent,
and accidents by even more. This has implications for the safety design of road infrastructure.An inter-disciplinary approach is taken, in this paper, combining, law, economics and transportation engineering to examine the
interaction of legal rules, insurance arrangements, economic incentives and physical infrastructure.
The chapter consists of Expected Utility Theory [EUT] and Rational Thought: Decision Making under Risk and Uncertainty - Expected Utility as a basis for Decision-Making – Theories Based on Expected Utility Concept – Investor Rationality and Market Efficiency. Self Deception – Forms of Over Confidence, Causes of Over Confidence, and other Forms of Self-Deception. Prospect Theory, Difference between EUT and Prospect Theory; Agency Theory; SP/A Theory; Framing, Mental Accounting; Error in Bernoulli’s Theory.
Expected utility theory and its examples. Making decisions under certainty is easy. The cause and effect are known, and the risk involved is minimal. What’s tough is making decisions under risk and uncertainty. The outcome is unpredictable because you don’t have all the information about the alternatives. Before we learn deeper about decision-making under risk and uncertainty, let’s look at each of these situations such as certainty, risk and uncertainty. Despite all the data crunching and predictive technology, businesses these days have to deal with a lot of uncertainty and the ‘what if’ scenarios.
The recent pandemic outbreak has dramatically altered the business landscape globally. Today, decision-making has become more complicated due to the uncertainty all around us.
Insurance for beginners joining the industry. Compiled collected writeup with input. Freelance picked most common and easy to grasp explanations that logically fall an uninterrupted line of thought
The chapter consists of Expected Utility Theory [EUT] and Rational Thought: Decision Making under Risk and Uncertainty - Expected Utility as a basis for Decision-Making – Theories Based on Expected Utility Concept – Investor Rationality and Market Efficiency. Self Deception – Forms of Over Confidence, Causes of Over Confidence, and other Forms of Self-Deception. Prospect Theory, Difference between EUT and Prospect Theory; Agency Theory; SP/A Theory; Framing, Mental Accounting; Error in Bernoulli’s Theory.
Expected utility theory and its examples. Making decisions under certainty is easy. The cause and effect are known, and the risk involved is minimal. What’s tough is making decisions under risk and uncertainty. The outcome is unpredictable because you don’t have all the information about the alternatives. Before we learn deeper about decision-making under risk and uncertainty, let’s look at each of these situations such as certainty, risk and uncertainty. Despite all the data crunching and predictive technology, businesses these days have to deal with a lot of uncertainty and the ‘what if’ scenarios.
The recent pandemic outbreak has dramatically altered the business landscape globally. Today, decision-making has become more complicated due to the uncertainty all around us.
Insurance for beginners joining the industry. Compiled collected writeup with input. Freelance picked most common and easy to grasp explanations that logically fall an uninterrupted line of thought
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Cardnickysharmasucks
The unveiling of the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card marks a notable milestone in the Indian financial landscape, showcasing a successful partnership between two leading institutions, Poonawalla Fincorp and IndusInd Bank. This co-branded credit card not only offers users a plethora of benefits but also reflects a commitment to innovation and adaptation. With a focus on providing value-driven and customer-centric solutions, this launch represents more than just a new product—it signifies a step towards redefining the banking experience for millions. Promising convenience, rewards, and a touch of luxury in everyday financial transactions, this collaboration aims to cater to the evolving needs of customers and set new standards in the industry.
how to sell pi coins in South Korea profitably.DOT TECH
Yes. You can sell your pi network coins in South Korea or any other country, by finding a verified pi merchant
What is a verified pi merchant?
Since pi network is not launched yet on any exchange, the only way you can sell pi coins is by selling to a verified pi merchant, and this is because pi network is not launched yet on any exchange and no pre-sale or ico offerings Is done on pi.
Since there is no pre-sale, the only way exchanges can get pi is by buying from miners. So a pi merchant facilitates these transactions by acting as a bridge for both transactions.
How can i find a pi vendor/merchant?
Well for those who haven't traded with a pi merchant or who don't already have one. I will leave the telegram id of my personal pi merchant who i trade pi with.
Tele gram: @Pi_vendor_247
#pi #sell #nigeria #pinetwork #picoins #sellpi #Nigerian #tradepi #pinetworkcoins #sellmypi
how to sell pi coins at high rate quickly.DOT TECH
Where can I sell my pi coins at a high rate.
Pi is not launched yet on any exchange. But one can easily sell his or her pi coins to investors who want to hold pi till mainnet launch.
This means crypto whales want to hold pi. And you can get a good rate for selling pi to them. I will leave the telegram contact of my personal pi vendor below.
A vendor is someone who buys from a miner and resell it to a holder or crypto whale.
Here is the telegram contact of my vendor:
@Pi_vendor_247
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large new Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economy, we quantify the extent to which demographic changes over the last three decades have contributed to the decline of the unemployment rate. Our findings yield important implications for the future evolution of unemployment given the anticipated further aging of the working population in Europe. We also quantify the implications for optimal monetary policy: lowering inflation volatility becomes less costly in terms of GDP and unemployment volatility, which hints that optimal monetary policy may be more hawkish in an aging society. Finally, our results also propose a partial reversal of the European-US unemployment puzzle due to the fact that the share of young workers is expected to remain robust in the US.
how can I sell pi coins after successfully completing KYCDOT TECH
Pi coins is not launched yet in any exchange 💱 this means it's not swappable, the current pi displaying on coin market cap is the iou version of pi. And you can learn all about that on my previous post.
RIGHT NOW THE ONLY WAY you can sell pi coins is through verified pi merchants. A pi merchant is someone who buys pi coins and resell them to exchanges and crypto whales. Looking forward to hold massive quantities of pi coins before the mainnet launch.
This is because pi network is not doing any pre-sale or ico offerings, the only way to get my coins is from buying from miners. So a merchant facilitates the transactions between the miners and these exchanges holding pi.
I and my friends has sold more than 6000 pi coins successfully with this method. I will be happy to share the contact of my personal pi merchant. The one i trade with, if you have your own merchant you can trade with them. For those who are new.
Message: @Pi_vendor_247 on telegram.
I wouldn't advise you selling all percentage of the pi coins. Leave at least a before so its a win win during open mainnet. Have a nice day pioneers ♥️
#kyc #mainnet #picoins #pi #sellpi #piwallet
#pinetwork
what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
Message: @Pi_vendor_247 on telegram if u want to sell PI COINS.
1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
“In order for the U.S. economy to continue growing, whether there is another wave or not, the U.S. needs to focus on diversifying supply chains, supporting business investment, and maintaining consumer spending,” says Grace Feeley, a research analyst at M Capital Group.
While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
how to sell pi coins effectively (from 50 - 100k pi)DOT TECH
Anywhere in the world, including Africa, America, and Europe, you can sell Pi Network Coins online and receive cash through online payment options.
Pi has not yet been launched on any exchange because we are currently using the confined Mainnet. The planned launch date for Pi is June 28, 2026.
Reselling to investors who want to hold until the mainnet launch in 2026 is currently the sole way to sell.
Consequently, right now. All you need to do is select the right pi network provider.
Who is a pi merchant?
An individual who buys coins from miners on the pi network and resells them to investors hoping to hang onto them until the mainnet is launched is known as a pi merchant.
debuts.
I'll provide you the Telegram username
@Pi_vendor_247
Introduction to Indian Financial System ()Avanish Goel
The financial system of a country is an important tool for economic development of the country, as it helps in creation of wealth by linking savings with investments.
It facilitates the flow of funds form the households (savers) to business firms (investors) to aid in wealth creation and development of both the parties
Even tho Pi network is not listed on any exchange yet.
Buying/Selling or investing in pi network coins is highly possible through the help of vendors. You can buy from vendors[ buy directly from the pi network miners and resell it]. I will leave the telegram contact of my personal vendor.
@Pi_vendor_247
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
Income Limits: Applicants must meet income guidelines, which vary by region and household size.
Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
Processing and Approval: The lender and USDA will review your application. If approved, you can proceed to closing.
USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
when will pi network coin be available on crypto exchange.DOT TECH
There is no set date for when Pi coins will enter the market.
However, the developers are working hard to get them released as soon as possible.
Once they are available, users will be able to exchange other cryptocurrencies for Pi coins on designated exchanges.
But for now the only way to sell your pi coins is through verified pi vendor.
Here is the telegram contact of my personal pi vendor
@Pi_vendor_247
2. 2
Properties of Information
• Information is not easy to define
– it is difficult to measure the quantity of
information obtainable from different
actions
– there are too many forms of useful
information to permit the standard price-
quantity characterization used in supply
and demand analysis
3. 3
Properties of Information
• Studying information also becomes
difficult due to some technical properties
of information
– it is durable and retains value after its use
– it can be nonrival and nonexclusive
• in this manner it can be considered a public
good
4. 4
The Value of Information
• In many respects, lack of information
does represent a problem involving
uncertainty for a decision maker
– the individual may not know exactly what the
consequences of a particular action will be
• Better information can reduce uncertainty
and lead to better decisions and higher
utility
5. 5
The Value of Information
• Assume an individual forms subjective
opinions about the probabilities of two
states of the world
– “good times” (probability = g) and “bad
times” (probability = b)
• Information is valuable because it helps
the individual revise his estimates of
these probabilities
6. 6
The Value of Information
• Assume that information can be
measured by the number of “messages”
(m) purchased
– g and b will be functions of m
7. 7
The Value of Information
• The individual’s goal will be to maximize
E(U) = gU(Wg) + bU(Wb)
subject to
I = pgWg + pbWb + pmm
• We need to set up the Lagrangian
L = gU(Wg) + bU(Wb) + (I-pgWg-pbWb-pmm)
8. 8
The Value of Information
• First-order conditions for a constrained
maximum are:
0)('
ggg
g
pWU
W
L
0)('
bbb
b
pWU
W
L
0
mpWpWp mbbggI
L
9. 9
The Value of Information
• First-order conditions for a constrained
maximum are:
0
)()(
)(')('
m
b
b
g
g
b
b
g
g
b
bb
g
gg
p
dm
dW
p
dm
dW
p
dm
d
WU
dm
d
WU
dm
dW
WU
dm
dW
WU
m
L
10. 10
The Value of Information
• The first two equations show that the
individual will maximize utility at a point
where the subjective ratio of expected
marginal utilities is equal to the price
ratio (pg /pb)
• The last equation shows the utility-
maximizing level of information to buy
11. 11
Asymmetry of Information
• The level of information that a person buys
will depend on the price per unit
• Information costs may differ significantly
across individuals
– some may possess specific skills for acquiring
information
– some may have experience that is relevant
– some may have made different former
investments in information services
12. 12
Information and Insurance
• There are a number of information
asymmetries in the market for insurance
• Buyers are often in a better position to
know the likelihood of uncertain events
– may also be able to take actions that
impact these probabilities
13. 13
Moral Hazard
• Moral hazard is the effect of insurance
coverage on individuals’ decisions to
take activities that may change the
likelihood or size of losses
– parking an insured car in an unsafe area
– choosing not to install a sprinkler system in
an insured home
14. 14
Moral Hazard
• Suppose a risk-averse individual faces
the risk of a loss (l) that will lower
wealth
– the probability of a loss is
– this probability can be lowered by the
amount the person spends on preventive
measures (a)
15. 15
Moral Hazard
• Wealth in the two states is given by
W1 = W0 - a
W2 = W0 - a - l
• The individual chooses a to maximize
E(U) = E = (1-)U(W1) + U(W2)
16. 16
Moral Hazard
• The first-order condition for a maximum is
0)(')()(')1()( 2211
WU
a
WUWU
a
WU
a
E
a
WUWUWUWU
)]()([)(')1()(' 1212
– the optimal point is where the expected
marginal utility cost from spending one
additional dollar on prevention is equal to the
reduction in the expected value of the utility loss
that may be encountered in bad times
17. 17
Behavior with Insurance
and Perfect Monitoring
• Suppose that the individual may purchase
insurance (premium = p) that pays x if a
loss occurs
• Wealth in each state becomes
W1 = W0 - a - p
W2 = W0 - a - p - l + x
• A fair premium would be equal to
p = x
18. 18
Behavior with Insurance
and Perfect Monitoring
• The person can maximize expected utility
by choosing x such that W1 = W2
• The first-order condition is
0)(1)('
)(1)(')1(
22
11
a
WU
a
WU
a
WU
a
WU
a
E
l
l
19. 19
Behavior with Insurance
and Perfect Monitoring
• Since W1 = W2, this condition becomes
a
l1
– at the utility maximizing choice, the marginal
cost of an extra unit of prevention should
equal the marginal reduction in the expected
loss provided by the extra spending
– with full insurance and actuarially fair
premiums, precautionary purchases still occur
at the optimal level
20. 20
Moral Hazard
• So far, we have assumed that insurance
providers know the probability of a loss
and can charge the actuarially fair premium
– this is doubtful when individuals can undertake
precautionary activities
– the insurance provider would have to
constantly monitor each person’s activities to
determine the correct probability of loss
21. 21
Moral Hazard
• In the simplest case, the insurer might set
a premium based on the average
probability of loss experienced by some
group of people
– no variation in premiums allowed for specific
precautionary activities
• each individual would have an incentive to reduce
his level of precautionary activities
22. 22
Adverse Selection
• Individuals may have different probabilities
of experiencing a loss
• If individuals know the probabilities more
accurately than insurers, insurance
markets may not function properly
– it will be difficult for insurers to set premiums
based on accurate measures of expected loss
24. 24
Adverse Selection
certainty line
W1
W2
W *
W * - l
Suppose that one person has a probability of loss
equal to H, while the other has a probability of loss
equal to l
E
F
G
Both individuals would
prefer to move to the
certainty line if premiums
are actuarially fair
25. 25
Adverse Selection
certainty line
W1
W2
W *
W * - l
The lines show the market opportunities for each
person to trade W1 for W2 by buying fair insurance
E
F
G
l
l
)1(
slope
H
H
slope
)(1
The low-risk person will
maximize utility at point
F, while the high-risk
person will choose G
26. 26
Adverse Selection
• If insurers have imperfect information
about which individuals fall into low- and
high-risk categories, this solution is
unstable
– point F provides more wealth in both states
– high-risk individuals will want to buy
insurance that is intended for low-risk
individuals
– insurers will lose money on each policy sold
27. 27
Adverse Selection
certainty line
W1
W2
W *
W * - l E
F
G
One possible solution would be for the insurer to
offer premiums based on the average probability of
loss
H
Since EH does not
accurately reflect the true
probabilities of each buyer,
they may not fully insure
and may choose a point
such as M
M
28. 28
Point M is not an equilibrium because further trading
opportunities exist for low-risk individuals
UH
UL
Adverse Selection
certainty line
W1
W2
W *
W * - l E
F
G
H
M
An insurance policy
such as N would be
unattractive to high-
risk individuals, but
attractive to low-risk
individuals and
profitable for insurers
N
29. 29
Adverse Selection
• If a market has asymmetric information,
the equilibria must be separated in
some way
– high-risk individuals must have an
incentive to purchase one type of
insurance, while low-risk purchase another
30. 30
Adverse Selection
certainty line
W1
W2
W *
W * - l E
F
G
Suppose that insurers offer policy G. High-risk
individuals will opt for full insurance.
UH
Insurers cannot offer
any policy that lies
above UH because
they cannot prevent
high-risk individuals
from taking advantage
of it
31. 31
Adverse Selection
certainty line
W1
W2
W *
W * - l E
F
G
UH
The policies G and J
represent a
separating equilibrium
The best policy that low-risk individuals can obtain is
one such as J
J
32. 32
Adverse Selection
• Low-risk individuals could try to signal
insurers their true probabilities of loss
– insurers must be able to determine if the
signals are believable
– insurers may be able to infer accurate
probabilities by observing their clients’
market behavior
– the separating equilibrium identifies an
individual’s risk category
33. 33
Adverse Selection
• Market signals can be drawn from a
number of sources
– the economic behavior must accurately
reflect risk categories
– the costs to individuals of taking the
signaling action must be related to the
probability of loss
34. 34
The Principal-Agent
Relationship
• One important way in which asymmetric
information may affect the allocation of
resources is when one person hires
another person to make decisions
– patients hiring physicians
– investors hiring financial advisors
– car owners hiring mechanics
– stockholders hiring managers
35. 35
The Principal-Agent
Relationship
• In each of these cases, a person with less
information (the principal) is hiring a more
informed person (the agent) to make
decisions that will directly affect the
principal’s own well-being
36. 36
The Principal-Agent
Relationship
• Assume that we can show a graph of the
owner’s (or manager’s) preferences in
terms of profits and various benefits (such
as fancy offices or use of the corporate
jet)
• The owner’s budget constraint will have a
slope of -1
– each $1 of benefits reduces profit by $1
39. 39
The Principal-Agent
Relationship
• Suppose that the manager is not the
sole owner of the firm
– suppose there are two other owners who
play no role in operating the firm
• $1 in benefits only costs the manager
$0.33 in profits
– the other $0.67 is effectively paid by the
other owners in terms of reduced profits
40. 40
The Principal-Agent
Relationship
• The new budget constraint continues to
include the point b*, *
– the manager could still make the same
decision that a sole owner could)
• For benefits greater than b*, the slope
of the budget constraint is only -1/3
42. 42
The Principal-Agent
Relationship
• The firm’s owners are harmed by having
to rely on an agency relationship with
the firm’s manager
• The smaller the fraction of the firm that
is owned by the manager, the greater
the distortions that will be induced by
this relationship
43. 43
Using the Corporate Jet
• A firm owns a fleet of corporate jets
used mainly for business purposes
– the firm has just fired a CEO for misusing
the corporate fleet
• The firm wants to structure a
management contract that provides
better incentives for cost control
44. 44
Using the Corporate Jet
• Suppose that all would-be applicants
have the same utility function
U(s,j) = 0.1s0.5 + j
where s is salary and j is jet use (0 or 1)
• All applicants have job offers from other
firms promising them a utility level of at
most 2.0
45. 45
Using the Corporate Jet
• Because jet use is expensive, = 800
(thousand) if j =0 and = 162 if j =1
– the directors will be willing to pay the new
CEO up to 638 providing that they can
guarantee that he will not use the
corporate jet for personal use
– a salary of more than 400 will just be
sufficient to get a potential candidate to
accept the job without jet usage
46. 46
Using the Corporate Jet
• If the directors find it difficult to monitor
the CEO’s jet usage, this could mean
that the firm ends up with < 0
• The owner’s may therefore want to
create a contract where the
compensation of the new CEO is tied to
profit
47. 47
The Owner-Manager
Relationship
• Suppose that the gross profits of the firm
depend on some specific action that a
hired manager might take (a)
net profits = ’ = (a) – s[(a)]
• Both gross and net profits are maximized
when /a = 0
– the owners’ problem is to design a salary
structure that provides an incentive for the
manager to choose a that maximizes
48. 48
The Owner-Manager
Relationship
• The owners face two issues
– they must know the agent’s utility function
which depends on net income (IM)
IM = s[(a)] = c(a) = c0
• where c(a) represents the cost to the manager of
undertaking a
– they must design the compensation system
so that the agent is willing to take the job
• this requires that IM 0
49. 49
The Owner-Manager
Relationship
• One option would be to pay no
compensation unless the manager
chooses a* and to pay an amount equal to
c(a*) + c0 if a* is chosen
• Another possible scheme is s(a) = (a) – f,
where f = (a) – c(a*) – c0
– with this compensation package, the
manager’s income is maximized by setting
s(a)/a = /a = 0
50. 50
The Owner-Manager
Relationship
• The manager will choose a* and receive
an income that just covers costs
IM = s(a*) – c(a*) – c0 = (a*) – f – c(a*) – c0 = 0
• This compensation plan makes the agent
the “residual claimant” to the firm’s profits
51. 51
Asymmetric Information
• Models of the principal-agent relationship
have introduced asymmetric information
into this problem in two ways
– it is assumed that a manager’s action is not
directly observed and cannot be perfectly
inferred from the firm’s profits
• referred to as “hidden action”
– the agent-manager’s objective function is
not directly observed
• referred to as “hidden information”
52. 52
Hidden Action
• The primary reason that the manager’s
action may be hidden is that profits
depend on random factors that cannot be
observed by the firm’s owner
• Suppose that profits depend on both the
manager’s action and on a random
variable (u)
(a) = ’(a) + u
where ’ represents expected profits
53. 53
Hidden Action
• Because owners observe only and not
’, they can only use actual profits in their
compensation function
– a risk averse manager will be concerned that
actual profits will turn out badly and may
decline the job
• The owner might need to design a
compensation scheme that allows for
profit-sharing
54. 54
Hidden Information
• When the principal does not know the
incentive structure of the agent, the
incentive scheme must be designed
using some initial assumptions about the
agent’s motivation
– will be adapted as new information becomes
available
55. 55
Important Points to Note:
• Information is valuable because it
permits individuals to increase the
expected utility of their decisions
– individuals might be willing to pay
something to acquire additional
information
56. 56
Important Points to Note:
• Information has a number of special
properties that suggest that
inefficiencies associated with
imperfect and asymmetric information
may be quite prevalent
– differing costs of acquisition
– some aspects of a public good
57. 57
Important Points to Note:
• The presence of asymmetric
information may affect a variety of
market outcomes, many of which are
illustrated in the context of insurance
theory
– insurers may have less information
about potential risks than do insurance
purchasers
58. 58
Important Points to Note:
• If insurers are unable to monitor the
behavior of insured individuals
accurately, moral hazard may arise
– being insured will affect the willingness to
make precautionary expenditures
– such behavioral effects can arise in any
contractual situation in which monitoring
costs are high
59. 59
Important Points to Note:
• Informational asymmetries can also
lead to adverse selection in insurance
markets
– the resulting equilibria may often be
inefficient because low-risk individuals will
be worse off than in the full information
case
– market signaling may be able to reduce
these inefficiencies
60. 60
Important Points to Note:
• Asymmetric information may also
cause some (principal) economic
actors to hire others (agents) to make
decisions for them
– providing the correct incentives to the
agent is a difficult problem