More modifications for 2019

deterministic.tex

@@ -259,11 +259,11 @@ f(\bar y, \bar y, \bar y, \bar u) = 0
 \end{frame}
 
 
-\begin{frame}{Approximating infinite horizon problems}
+\begin{frame}{Approximating infinite-horizon problems}
   \begin{itemize}
   \item The above technique numerically computes trajectories for given shocks over a
     \emph{finite} number of periods
-  \item Suppose you are rather interested in solving an \emph{infinite} horizon
+  \item Suppose you are rather interested in solving an \emph{infinite}-horizon
     problem
   \item One option consists in computing the recursive policy function (as with
     perturbation methods), but this is challenging
@@ -275,13 +275,13 @@ f(\bar y, \bar y, \bar y, \bar u) = 0
       projection method would still be needed
     \item in any case, Dynare does not do that
     \end{itemize}
-  \item An easier solution, in the case of a return to equilibrium, is to
-    approximate it by a finite horizon problem
+  \item An easier way, in the case of a return to equilibrium, is to
+    approximate the solution by a finite-horizon problem
     \begin{itemize}
     \item consists in computing the trajectory with $y_{T+1}=\bar y$ and $T$
       large enough
     \item drawback compared to the policy function approach: the
-      solution is specific to a given sequence of shock, and not generic
+      solution is specific to a given sequence of shocks, and not generic
     \end{itemize}
   \end{itemize}
 \end{frame}

exercise-zlb.tex

@@ -10,7 +10,7 @@
 
 \title{Zero lower bound in a New Keynesian model}
 \author{Sébastien Villemot}
-\date{June 12, 2018}
+\date{June 4, 2019}
 \maketitle
 
 \begin{enumerate}