4. In class we talked about how the Arrow-Pratt coefficient of absolute risk aversion can be thought of as proportional to the insurance premium that an expected utility maximizer would be willing to pay to completely avoid a small, mean zero risk. Mathematically, we could write this insight the following way: E[u(w+ e)] = u(w — T) where u is the agent's Bernoulli utility function, w is their wealth level, is the insurance premium/willingness to pay to avoid è, and è is mean-zero risk (i.e. è is a random variable with E[è] = 0). Prove that for small , r(w) = -u" (w)/u'(w) is proportional to . What is the constant of proportionality for this relationship? [Hint: start by taking the second- order Taylor expansion of the equation above].
4. In class we talked about how the Arrow-Pratt coefficient of absolute risk aversion can be thought of as proportional to the insurance premium that an expected utility maximizer would be willing to pay to completely avoid a small, mean zero risk. Mathematically, we could write this insight the following way: E[u(w+ e)] = u(w — T) where u is the agent's Bernoulli utility function, w is their wealth level, is the insurance premium/willingness to pay to avoid è, and è is mean-zero risk (i.e. è is a random variable with E[è] = 0). Prove that for small , r(w) = -u" (w)/u'(w) is proportional to . What is the constant of proportionality for this relationship? [Hint: start by taking the second- order Taylor expansion of the equation above].
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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E3
![4. In class we talked about how the Arrow-Pratt
coefficient of absolute risk aversion can be
thought of as proportional to the insurance
premium that an expected utility maximizer
would be willing to pay to completely avoid a
small, mean zero risk. Mathematically, we could
write this insight the following way:
E[u(w + ë)] = u(w – 7)
where u is the agent's Bernoulli utility function, w is their wealth level, a is the
insurance premium/willingness to pay to avoid ē, and ẽ is mean-zero risk (i.e. ẽ is a
random variable with E[ē] = 0).
%3D
Prove that for small ē, r(w)
constant of proportionality for this relationship? [Hint: start by taking the second-
order Taylor expansion of the equation above].
-u"(w)/u'(w) is proportional to r.
What is the](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdcc7de61-6c81-441e-9f88-fdabfdeed285%2F38e0081d-ad54-47e1-a1d7-ffc88774ff39%2F4ndv98_processed.jpeg&w=3840&q=75)
Transcribed Image Text:4. In class we talked about how the Arrow-Pratt
coefficient of absolute risk aversion can be
thought of as proportional to the insurance
premium that an expected utility maximizer
would be willing to pay to completely avoid a
small, mean zero risk. Mathematically, we could
write this insight the following way:
E[u(w + ë)] = u(w – 7)
where u is the agent's Bernoulli utility function, w is their wealth level, a is the
insurance premium/willingness to pay to avoid ē, and ẽ is mean-zero risk (i.e. ẽ is a
random variable with E[ē] = 0).
%3D
Prove that for small ē, r(w)
constant of proportionality for this relationship? [Hint: start by taking the second-
order Taylor expansion of the equation above].
-u"(w)/u'(w) is proportional to r.
What is the
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