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Dóra Kocsis
dynare
Commits
31e0bc2e
Commit
31e0bc2e
authored
Apr 02, 2012
by
Houtan Bastani
Browse files
estimation: simplify global_initialization
parent
20573651
Changes
1
Hide whitespace changes
Inline
Side-by-side
matlab/global_initialization.m
View file @
31e0bc2e
...
...
@@ -245,67 +245,33 @@ options_.ramsey_policy = 0;
options_
.
timeless
=
0
;
% estimation
estimation_info
.
subsamples
.
range
=
struct
(
'date1'
,
{},
'date2'
,
{});
estimation_info
.
parameters
.
prior
=
struct
(
...
'domain'
,
{},
'interval'
,
{},
'mean'
,
{},
...
'median'
,
{},
'mode'
,
{},
'shape'
,
{},
...
'shift'
,
{},
'stdev'
,
{},
'truncate'
,
{},
'variance'
,
{});
estimation_info
.
parameters
.
subsample_prior
=
struct
(
...
'domain'
,
{},
'interval'
,
{},
'mean'
,
{},
...
'median'
,
{},
'mode'
,
{},
'shape'
,
{},
...
'shift'
,
{},
'stdev'
,
{},
'truncate'
,
{},
'variance'
,
{});
estimation_info
.
parameters
.
options
=
struct
(
...
'bounds'
,{},
'init'
,
{},
'jscale'
,
{});
estimation_info
.
parameters
.
subsample_options
=
struct
(
...
'bounds'
,{},
'init'
,
{},
'jscale'
,
{});
estimation_info
.
structural_innovation
.
prior
=
struct
(
...
'domain'
,
{},
'interval'
,
{},
'mean'
,
{},
...
'median'
,
{},
'mode'
,
{},
'shape'
,
{},
...
'shift'
,
{},
'stdev'
,
{},
'truncate'
,
{},
'variance'
,
{});
estimation_info
.
structural_innovation
.
subsample_prior
=
struct
(
...
'domain'
,
{},
'interval'
,
{},
'mean'
,
{},
...
'median'
,
{},
'mode'
,
{},
'shape'
,
{},
...
'shift'
,
{},
'stdev'
,
{},
'truncate'
,
{},
'variance'
,
{});
estimation_info
.
structural_innovation
.
options
=
struct
(
...
'bounds'
,{},
'init'
,
{},
'jscale'
,
{});
estimation_info
.
structural_innovation
.
subsample_options
=
struct
(
...
'bounds'
,{},
'init'
,
{},
'jscale'
,
{});
estimation_info
.
structural_innovation_corr
.
prior
=
struct
(
...
'domain'
,
{},
'interval'
,
{},
'mean'
,
{},
...
'median'
,
{},
'mode'
,
{},
'shape'
,
{},
...
'shift'
,
{},
'stdev'
,
{},
'truncate'
,
{},
'variance'
,
{});
estimation_info
.
structural_innovation_corr
.
subsample_prior
=
struct
(
...
'domain'
,
{},
'interval'
,
{},
'mean'
,
{},
...
'median'
,
{},
'mode'
,
{},
'shape'
,
{},
...
'shift'
,
{},
'stdev'
,
{},
'truncate'
,
{},
'variance'
,
{});
estimation_info
.
structural_innovation_corr
.
options
=
struct
(
...
'bounds'
,{},
'init'
,
{},
'jscale'
,
{});
estimation_info
.
structural_innovation_corr
.
subsample_options
=
struct
(
...
'bounds'
,{},
'init'
,
{},
'jscale'
,
{});
estimation_info
.
measurement_error
.
prior
=
struct
(
...
estimation_info
.
empty_prior
=
struct
(
...
'domain'
,
{},
'interval'
,
{},
'mean'
,
{},
...
'median'
,
{},
'mode'
,
{},
'shape'
,
{},
...
'shift'
,
{},
'stdev'
,
{},
'truncate'
,
{},
'variance'
,
{});
estimation_info
.
measurement_error
.
subsample_prior
=
struct
(
...
'domain'
,
{},
'interval'
,
{},
'mean'
,
{},
...
'median'
,
{},
'mode'
,
{},
'shape'
,
{},
...
'shift'
,
{},
'stdev'
,
{},
'truncate'
,
{},
'variance'
,
{});
estimation_info
.
measurement_error
.
options
=
struct
(
...
'bounds'
,{},
'init'
,
{},
'jscale'
,
{});
estimation_info
.
measurement_error
.
subsample_options
=
struct
(
...
'bounds'
,{},
'init'
,
{},
'jscale'
,
{});
estimation_info
.
measurement_error_corr
.
prior
=
struct
(
...
'domain'
,
{},
'interval'
,
{},
'mean'
,
{},
...
'median'
,
{},
'mode'
,
{},
'shape'
,
{},
...
'shift'
,
{},
'stdev'
,
{},
'truncate'
,
{},
'variance'
,
{});
estimation_info
.
measurement_error_corr
.
subsample_prior
=
struct
(
...
'domain'
,
{},
'interval'
,
{},
'mean'
,
{},
...
'median'
,
{},
'mode'
,
{},
'shape'
,
{},
...
'shift'
,
{},
'stdev'
,
{},
'truncate'
,
{},
'variance'
,
{});
estimation_info
.
measurement_error_corr
.
options
=
struct
(
...
'bounds'
,{},
'init'
,
{},
'jscale'
,
{});
estimation_info
.
measurement_error_corr
.
subsample_options
=
struct
(
...
estimation_info
.
empty_options
=
struct
(
...
'bounds'
,{},
'init'
,
{},
'jscale'
,
{});
estimation_info
.
subsamples
.
range
=
struct
(
'date1'
,
{},
'date2'
,
{});
estimation_info
.
parameters
.
prior
=
estimation_info
.
empty_prior
;
estimation_info
.
parameters
.
subsample_prior
=
estimation_info
.
empty_prior
;
estimation_info
.
parameters
.
options
=
estimation_info
.
empty_options
;
estimation_info
.
parameters
.
subsample_options
=
estimation_info
.
empty_options
;
estimation_info
.
structural_innovation
.
prior
=
estimation_info
.
empty_prior
;
estimation_info
.
structural_innovation
.
subsample_prior
=
estimation_info
.
empty_prior
;
estimation_info
.
structural_innovation
.
options
=
estimation_info
.
empty_options
;
estimation_info
.
structural_innovation
.
subsample_options
=
estimation_info
.
empty_options
;
estimation_info
.
structural_innovation_corr
.
prior
=
estimation_info
.
empty_prior
;
estimation_info
.
structural_innovation_corr
.
subsample_prior
=
estimation_info
.
empty_prior
;
estimation_info
.
structural_innovation_corr
.
options
=
estimation_info
.
empty_options
;
estimation_info
.
structural_innovation_corr
.
subsample_options
=
estimation_info
.
empty_options
;
estimation_info
.
measurement_error
.
prior
=
estimation_info
.
empty_prior
;
estimation_info
.
measurement_error
.
subsample_prior
=
estimation_info
.
empty_prior
;
estimation_info
.
measurement_error
.
options
=
estimation_info
.
empty_options
;
estimation_info
.
measurement_error
.
subsample_options
=
estimation_info
.
empty_options
;
estimation_info
.
measurement_error_corr
.
prior
=
estimation_info
.
empty_prior
;
estimation_info
.
measurement_error_corr
.
subsample_prior
=
estimation_info
.
empty_prior
;
estimation_info
.
measurement_error_corr
.
options
=
estimation_info
.
empty_options
;
estimation_info
.
measurement_error_corr
.
subsample_options
=
estimation_info
.
empty_options
;
estimation_info
.
subsamples_index
=
{};
estimation_info
.
subsamples
.
range_index
=
{};
estimation_info
.
parameter_prior_index
=
{};
...
...
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