Skip to content
GitLab
Menu
Projects
Groups
Snippets
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in / Register
Toggle navigation
Menu
Open sidebar
Marco Ratto
dynare
Commits
b090669e
Verified
Commit
b090669e
authored
Jan 22, 2020
by
Houtan Bastani
Browse files
doc: add info about `epilogue` block
Closes issue #1679 [skip ci]
parent
06ce5d1e
Changes
2
Hide whitespace changes
Inline
Side-by-side
doc/manual/source/the-model-file.rst
View file @
b090669e
...
...
@@ -6989,7 +6989,7 @@ Shock Decomposition
..
option
::
with_epilogue
If
set
,
then
also
compute
the
decomposition
for
variables
declared
in
the
``
epilogue
``
block
.
the
``
epilogue
``
block
(
see
:
ref
:`
epilogue
`)
.
*
Output
*
...
...
@@ -7151,7 +7151,7 @@ Shock Decomposition
..
option
::
with_epilogue
If
set
,
then
also
compute
the
decomposition
for
variables
declared
in
the
``
epilogue
``
block
.
the
``
epilogue
``
block
(
see
:
ref
:`
epilogue
`)
.
*
Output
*
...
...
@@ -7398,7 +7398,7 @@ Shock Decomposition
..
option
::
with_epilogue
If
set
,
then
also
compute
the
decomposition
for
variables
declared
in
the
``
epilogue
``
block
.
the
``
epilogue
``
block
(
see
:
ref
:`
epilogue
`)
.
..
option
::
init2shocks
init2shocks
=
NAME
...
...
@@ -10548,6 +10548,48 @@ below.
See
:
opt
:`
regimes
`.
..
_epilogue
:
Epilogue
Variables
==================
..
block
::
epilogue
;
The
epilogue
block
is
useful
for
computing
output
variables
of
interest
that
may
not
be
necessarily
defined
in
the
model
(
e
.
g
.
various
kinds
of
real
/
nominal
shares
or
relative
prices
,
or
annualized
variables
out
of
a
quarterly
model
).
It
can
also
provide
several
advantages
in
terms
of
computational
efficiency
and
flexibility
:
-
You
can
calculate
variables
in
the
epilogue
block
after
smoothers
/
simulations
have
already
been
run
without
adding
the
new
definitions
and
equations
and
rerunning
smoothers
/
simulations
.
Even
posterior
smoother
subdraws
can
be
recycled
for
computing
epilogue
variables
without
rerunning
subdraws
with
the
new
definitions
and
equations
.
-
You
can
also
reduce
the
state
space
dimension
in
data
filtering
/
smoothing
.
Assume
,
for
example
,
you
want
annualized
variables
as
outputs
.
If
you
define
an
annual
growth
rate
in
a
quarterly
model
,
you
need
lags
up
to
order
7
of
the
associated
quarterly
variable
;
in
a
medium
/
large
scale
model
this
would
just
blow
up
the
state
dimension
and
increase
by
a
huge
amount
the
computing
time
of
a
smoother
.
The
``
epilogue
``
block
is
terminated
by
``
end
;``
and
contains
lines
of
the
form
:
NAME
=
EXPRESSION
;
*
Example
*
::
epilogue
;
//
annualized
level
of
y
ya
=
exp
(
y
)+
exp
(
y
(-
1
))+
exp
(
y
(-
2
))+
exp
(
y
(-
3
));
//
annualized
growth
rate
of
y
gya
=
ya
/
ya
(-
4
)-
1
;
end
;
Displaying
and
saving
results
=============================
...
...
doc/manual/utils/dynare_lex.py
View file @
b090669e
...
...
@@ -73,7 +73,7 @@ class DynareLexer(RegexLexer):
(
r
'\s*(%|//).*$'
,
Comment
),
(
words
((
'model'
,
'steady_state_model'
,
'initval'
,
'endval'
,
'histval'
,
'model'
,
'steady_state_model'
,
'initval'
,
'endval'
,
'histval'
,
'epilogue'
,
'shocks'
,
'mshocks'
,
'homotopy_setup'
,
'observation_trends'
,
'estimated_params'
,
'estimated_params_init'
,
'estimated_params_bounds'
,
'shock_groups'
,
'conditional_forecast_paths'
,
'optim_weights'
,
...
...
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
.
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment