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authorThibaut Horel <thibaut.horel@gmail.com>2014-09-23 14:33:05 -0400
committerThibaut Horel <thibaut.horel@gmail.com>2014-09-23 14:33:05 -0400
commit17eac00022d428d2898b36c58c5d09d3163bb6be (patch)
treee8f54cecff2e4f797c29fcfa72fccb1c318b9f3f
parent648c77d62ea76b138db8d7a47a889b29e6ee57ab (diff)
downloadecon2099-17eac00022d428d2898b36c58c5d09d3163bb6be.tar.gz
More progress on problem 2
-rw-r--r--ps1/main.tex15
1 files changed, 9 insertions, 6 deletions
diff --git a/ps1/main.tex b/ps1/main.tex
index dfbec82..d5290df 100644
--- a/ps1/main.tex
+++ b/ps1/main.tex
@@ -167,8 +167,8 @@ allocated to the first position in this case. Then consider a bid $b>s(1)$; the
utility in this case will be $u' = w_1(v-b)$ which is less than $u$.
We have now established the uniqueness of a symmetric Bayes-Nash equilibrium.
-We can now conclude by applying Theorem 2.10 which states that there are no
-asymmetric strategy profiles.
+Furthermore we can rule out the possibility of assymetric strategy profiles by
+applying verbatim the proof of Theorem 2.10.
\section{Exercise 3.1}
@@ -180,27 +180,30 @@ If the residual surplus is $$\sum_i \left(v_ix_i - p_i\right) - c({\mathbf x}),$
\begin{align*}
\E\left[\sum_i \left(v_ix_i(v_i) - p_i(v_i)\right)\right] =
- \sum_i\E\big[v_ix_i-p_i(v_i)\big]
+ \sum_i\E\big[v_ix_i(v_i)-p_i(v_i)\big]
\end{align*}
Using \cref{eq:virt}, this is equal to:
\begin{displaymath}
\sum_i\E\big[x_i(v_i)(v_i-\phi_i(v_i))\big] =
\sum_i\E\big[x_i(v_i)h_i(v_i)\big]
\end{displaymath}
-where we defined $h(v_i)$ to be the inverse of the hazard rate function:
+where we defined $h_i(v_i)$ to be the inverse of the hazard rate function:
\begin{displaymath}
h_i(v_i) \eqdef \frac{1-F_i(v_i)}{f_i(v_i)}
\end{displaymath}
Note that by assumption, $h_i$ is non-increasing (since the harzard rate function
is non-decreasing). Hence, we need to consider $\bar{h_i}$, the function obtained
-by ironing $h_i$. Since $h_i$ is non-increasing, we have to obtain the ironing
+by ironing $h_i$. Since $h_i$ is non-increasing, we have to apply the ironing
procedure to the whole interval of values, leading to a constant ironed
function $\bar{h_i} = c_i$. We will call $c_i$ the \emph{ironed constant} of
agent $i$.
By construction, the mechanism maximizing residual surplus is the VSM mechanism
-where
+where we use the $(c_1,\ldots,c_n)$ as virtual functions. Note that it is easy
+to see in this case that truth telling is a dominant strategy equilibrium: the
+mechanism ignores the bids of the players and only allocates based on the
+ironed constants