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Pooled OLS + test

time-shift
Houtan Bastani 2017-10-23 15:55:01 +02:00
parent b65f8d3581
commit a82f2695cb
2 changed files with 527 additions and 0 deletions
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181
matlab/pooled_ols.m Normal file
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function pooled_ols(ds, param_common, param_regex)
% function pooled_ols(block_tags)
% Run Pooled OLS
% Apply parameter values found to corresponding parameter values in the
% other blocks of the model
%
% INPUTS
% ds [dseries] data to use in estimation
% param_common [cellstr] List of values to insert into param_regex,
% e.g. country codes {'FR', 'DE', 'IT'}
% param_regex [cellstr] Where '*' should be replaced by the first
% value in param_common
%
% OUTPUTS
% none
%
% SPECIAL REQUIREMENTS
% dynare must be run with the option: json=parse
% Copyright (C) 2017 Dynare Team
%
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% Dynare is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
global M_ oo_
jsonfile = [M_.fname '.json'];
if exist(jsonfile, 'file') ~= 2
error('Could not find %s! Please use the json=parse option (See the Dynare invocation section in the reference manual).', jsonfile);
end
%% Read JSON
jsonmodel = loadjson(jsonfile);
jsonmodel = jsonmodel.model;
[lhs, rhs, lineno] = getEquationsByTags(jsonmodel);
%% Replace parameter names in equations
country_name = param_common{1};
regexcountries = ['(' strjoin(param_common(2:end),'|') ')'];
for i = 1:length(param_regex)
splitp = strsplit(param_regex{i}, '*');
assert(length(splitp) >= 2);
rhs = regexprep(rhs, ...
strjoin(splitp, regexcountries), ...
strjoin(splitp, country_name));
end
%% Find parameters and variable names in every equation & Setup estimation matrices
regexpr1 = ...
['(diff\(\w+(\(\W?\w+\))?\))\*$' ...
'|' '\((\w+(\(\W?\w+\))?(\W?\w+(\(\W?\w+\))?)*)\)\*$' ...
'|' '(\w+(\(\W?\w+\))?)\*$' ...
];
regexpr2 = ...
['^\*(diff\(\w+(\(\W?\w+\))?\))' ...
'|' '^\*\((\w+(\(\W?\w+\))?(\W?\w+(\(\W?\w+\))?)*)' ...
'|' '^\*(\w+(\(\W?\w+\))?)'
];
M_endo_names_trim = cellfun(@strtrim, num2cell(M_.endo_names(:,:),2), 'Uniform', 0);
regex = ['(?<chb>^|(\-|\(|+|\*|\/|\^))(?<var>' ...
strjoin(M_endo_names_trim, '|') ...
')(?<cha>$|(\)\-|\(|+|\*|\/|\^))'];
params = cell(length(rhs),1);
vars = cell(length(rhs),1);
pbeta = {};
Y = [];
X = [];
Xinfo = {};
for i = 1:length(lhs)
rhs_ = strsplit(rhs{i}, {'+','-','*','/','^','log(','ln(','log10(','exp(','(',')','diff('});
rhs_(cellfun(@(x) all(isstrprop(x, 'digit')), rhs_)) = [];
vnames = setdiff(rhs_, cellstr(M_.param_names));
regexprnoleads = cell2mat(strcat('(', vnames, {'\(\d+\))|'}));
if ~isempty(regexp(rhs{i}, regexprnoleads(1:end-1), 'match'))
error(['olseqs: you cannot have leads in equation on line ' ...
lineno{i} ': ' lhs{i} ' = ' rhs{i}]);
end
% Find parameters
pnames = {};
pidxs = [];
for j = 1:length(M_.param_names)
if any(strcmp(rhs_, strtrim(M_.param_names(j,:))))
pnames = [pnames {strtrim(M_.param_names(j,:))}];
idx = find(strcmp(pbeta, strtrim(M_.param_names(j,:))));
if isempty(idx)
pbeta = [pbeta; {strtrim(M_.param_names(j,:))}];
pidxs = [pidxs; length(pbeta)];
else
pidxs = [pidxs; idx];
end
end
end
% Find associated variables
vnames = cell(1, length(pnames));
xjdata = dseries;
for j = 1:length(pnames)
rhs_split = strsplit(rhs{i}, pnames{j});
assert(length(rhs_split) == 2);
if ~isempty(rhs_split{1}) && rhs_split{1}(end) == '*'
vnames(j) = regexp(rhs_split{1}, regexpr1, 'tokens');
elseif ~isempty(rhs_split{2}) && rhs_split{2}(1) == '*'
vnames(j) = regexp(rhs_split{2}, regexpr2, 'tokens');
else
error('pooled_ols: Shouldn''t arrive here');
end
Xinfo(i, pidxs(j)) = vnames{j};
xjdatatmp = getdata(ds, regex, vnames{j}{:});
xjdatatmp.rename_(num2str(j));
xjdata = [xjdata xjdatatmp];
end
params{i} = pnames;
vars{i} = [vnames{:}];
ydata = getdata(ds, regex, lhs{i});
fp = max(ydata.firstobservedperiod, xjdata.firstobservedperiod);
lp = min(ydata.lastobservedperiod, xjdata.lastobservedperiod);
Y(length(Y)+1:length(Y)+1+lp-fp, 1) = ydata(fp:lp).data;
X(size(X,1)+1:size(X,1)+1+lp-fp, pidxs) = xjdata(fp:lp).data;
end
%% Estimation
% Estimated Parameters
[q, r] = qr(X, 0);
oo_.pooled_ols.beta = r\(q'*Y);
oo_.pooled_ols.param_names = pbeta;
% Assign parameter values back to parameters using param_regex & param_common
param_names_trim = cellfun(@strtrim, num2cell(M_.param_names(:,:),2), 'Uniform', 0);
regexcountries = ['(' strjoin(param_common(1:end),'|') ')'];
assigned_idxs = false(size(pbeta));
for i = 1:length(param_regex)
beta_idx = strcmp(pbeta, strrep(param_regex{i}, '*', country_name));
assigned_idxs = assigned_idxs | beta_idx;
value = oo_.pooled_ols.beta(beta_idx);
assert(~isempty(value));
M_.params(~cellfun(@isempty, regexp(param_names_trim, ...
strrep(param_regex{i}, '*', regexcountries)))) = value;
end
idxs = find(assigned_idxs == 0);
values = oo_.pooled_ols.beta(idxs);
names = pbeta(idxs);
assert(length(values) == length(names));
for i = 1:length(idxs)
M_.params(strcmp(param_names_trim, names{i})) = values(i);
end
end
function retval = getdata(ds, regex, ser)
if strncmp(ser, 'diff', 4)
ser = ser(6:end-1);
lagidx = strfind(ser, '(');
if isempty(lagidx)
retval = ds{ser} - ds{ser}(-1);
else
lag = str2double(ser(lagidx+1:strfind(ser, ')')-1));
assert(lag < 0);
ser = ser(1:lagidx-1);
retval = ds{ser}(lag) - ds{ser}(lag-1);
end
else
retval = eval(regexprep(ser, regex, '$<chb>ds.$<var>$<cha>'));
end
end

346
tests/ECB/panel_var/panel_var_diff.mod Normal file
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// --+ options: json=parse +--
/* REMARK
** ------
**
** You need to have the first line on top of the mod file. The options defined on this line are passed
** to the dynare command (you can add other options, separated by spaces or commas). The option defined
** here is mandatory for the decomposition. It forces Dynare to output another representation of the
** model in JSON file (additionaly to the matlab files) which is used here to manipulate the equations.
*/
var
U2_Q_YED
U2_G_YER
U2_STN
U2_ESTN
U2_EHIC
DE_Q_YED
DE_G_YER
DE_EHIC
FR_Q_YED
FR_G_YER
FR_EHIC
IT_Q_YED
IT_G_YER
IT_EHIC
ES_Q_YED
ES_G_YER
ES_EHIC
NL_Q_YED
NL_G_YER
NL_EHIC
;
varexo
res_U2_Q_YED
res_U2_G_YER
res_U2_STN
res_U2_ESTN
res_U2_EHIC
res_DE_Q_YED
res_DE_G_YER
res_DE_EHIC
res_FR_Q_YED
res_FR_G_YER
res_FR_EHIC
res_IT_Q_YED
res_IT_G_YER
res_IT_EHIC
res_ES_Q_YED
res_ES_G_YER
res_ES_EHIC
res_NL_Q_YED
res_NL_G_YER
res_NL_EHIC
;
parameters
u2_q_yed_ecm_u2_q_yed_L1
u2_q_yed_ecm_u2_stn_L1
u2_q_yed_u2_g_yer_L1
u2_q_yed_u2_stn_L1
u2_g_yer_ecm_u2_q_yed_L1
u2_g_yer_ecm_u2_stn_L1
u2_g_yer_u2_q_yed_L1
u2_g_yer_u2_g_yer_L1
u2_g_yer_u2_stn_L1
u2_stn_ecm_u2_q_yed_L1
u2_stn_ecm_u2_stn_L1
u2_stn_u2_q_yed_L1
u2_stn_u2_g_yer_L1
u2_estn_u2_estn_L1
u2_ehic_u2_ehic_L1
de_q_yed_ecm_de_q_yed_L1
de_q_yed_ecm_u2_stn_L1
de_q_yed_de_g_yer_L1
de_q_yed_u2_stn_L1
de_g_yer_ecm_de_q_yed_L1
de_g_yer_ecm_u2_stn_L1
de_g_yer_de_q_yed_L1
de_g_yer_de_g_yer_L1
de_g_yer_u2_stn_L1
de_ehic_de_ehic_L1
fr_q_yed_ecm_fr_q_yed_L1
fr_q_yed_ecm_u2_stn_L1
fr_q_yed_fr_g_yer_L1
fr_q_yed_u2_stn_L1
fr_g_yer_ecm_fr_q_yed_L1
fr_g_yer_ecm_u2_stn_L1
fr_g_yer_fr_q_yed_L1
fr_g_yer_fr_g_yer_L1
fr_g_yer_u2_stn_L1
fr_ehic_fr_ehic_L1
it_q_yed_ecm_it_q_yed_L1
it_q_yed_ecm_u2_stn_L1
it_q_yed_it_g_yer_L1
it_q_yed_u2_stn_L1
it_g_yer_ecm_it_q_yed_L1
it_g_yer_ecm_u2_stn_L1
it_g_yer_it_q_yed_L1
it_g_yer_it_g_yer_L1
it_g_yer_u2_stn_L1
it_ehic_it_ehic_L1
es_q_yed_ecm_es_q_yed_L1
es_q_yed_ecm_u2_stn_L1
es_q_yed_es_g_yer_L1
es_q_yed_u2_stn_L1
es_g_yer_ecm_es_q_yed_L1
es_g_yer_ecm_u2_stn_L1
es_g_yer_es_q_yed_L1
es_g_yer_es_g_yer_L1
es_g_yer_u2_stn_L1
es_ehic_es_ehic_L1
nl_q_yed_ecm_nl_q_yed_L1
nl_q_yed_ecm_u2_stn_L1
nl_q_yed_nl_g_yer_L1
nl_q_yed_u2_stn_L1
nl_g_yer_ecm_nl_q_yed_L1
nl_g_yer_ecm_u2_stn_L1
nl_g_yer_nl_q_yed_L1
nl_g_yer_nl_g_yer_L1
nl_g_yer_u2_stn_L1
nl_ehic_nl_ehic_L1
;
u2_q_yed_ecm_u2_q_yed_L1 = -0.82237516589315 ;
u2_q_yed_ecm_u2_stn_L1 = -0.323715338568976 ;
u2_q_yed_u2_g_yer_L1 = 0.0401361895021084 ;
u2_q_yed_u2_stn_L1 = 0.058397703958446 ;
u2_g_yer_ecm_u2_q_yed_L1 = 0.0189896046977421 ;
u2_g_yer_ecm_u2_stn_L1 = -0.109597659887432 ;
u2_g_yer_u2_q_yed_L1 = 0.0037667967632025 ;
u2_g_yer_u2_g_yer_L1 = 0.480506381923644 ;
u2_g_yer_u2_stn_L1 = -0.0722359286123494 ;
u2_stn_ecm_u2_q_yed_L1 = -0.0438500662608356 ;
u2_stn_ecm_u2_stn_L1 = -0.153283917138772 ;
u2_stn_u2_q_yed_L1 = 0.0328744983772825 ;
u2_stn_u2_g_yer_L1 = 0.292121949736756 ;
u2_estn_u2_estn_L1 = 1 ;
u2_ehic_u2_ehic_L1 = 1 ;
de_q_yed_ecm_de_q_yed_L1 = -0.822375165893149 ;
de_q_yed_ecm_u2_stn_L1 = -0.323715338568977 ;
de_q_yed_de_g_yer_L1 = 0.0401361895021082 ;
de_q_yed_u2_stn_L1 = 0.0583977039584461 ;
de_g_yer_ecm_de_q_yed_L1 = 0.0189896046977422 ;
de_g_yer_ecm_u2_stn_L1 = -0.109597659887433 ;
de_g_yer_de_q_yed_L1 = 0.00376679676320256;
de_g_yer_de_g_yer_L1 = 0.480506381923643 ;
de_g_yer_u2_stn_L1 = -0.0722359286123494 ;
de_ehic_de_ehic_L1 = 1 ;
fr_q_yed_ecm_fr_q_yed_L1 = -0.822375165893149 ;
fr_q_yed_ecm_u2_stn_L1 = -0.323715338568977 ;
fr_q_yed_fr_g_yer_L1 = 0.0401361895021082 ;
fr_q_yed_u2_stn_L1 = 0.0583977039584461 ;
fr_g_yer_ecm_fr_q_yed_L1 = 0.0189896046977422 ;
fr_g_yer_ecm_u2_stn_L1 = -0.109597659887433 ;
fr_g_yer_fr_q_yed_L1 = 0.00376679676320256;
fr_g_yer_fr_g_yer_L1 = 0.480506381923643 ;
fr_g_yer_u2_stn_L1 = -0.0722359286123494 ;
fr_ehic_fr_ehic_L1 = 1 ;
it_q_yed_ecm_it_q_yed_L1 = -0.822375165893149 ;
it_q_yed_ecm_u2_stn_L1 = -0.323715338568977 ;
it_q_yed_it_g_yer_L1 = 0.0401361895021082 ;
it_q_yed_u2_stn_L1 = 0.0583977039584461 ;
it_g_yer_ecm_it_q_yed_L1 = 0.0189896046977422 ;
it_g_yer_ecm_u2_stn_L1 = -0.109597659887433 ;
it_g_yer_it_q_yed_L1 = 0.00376679676320256;
it_g_yer_it_g_yer_L1 = 0.480506381923643 ;
it_g_yer_u2_stn_L1 = -0.0722359286123494 ;
it_ehic_it_ehic_L1 = 1 ;
es_q_yed_ecm_es_q_yed_L1 = -0.822375165893149 ;
es_q_yed_ecm_u2_stn_L1 = -0.323715338568977 ;
es_q_yed_es_g_yer_L1 = 0.0401361895021082 ;
es_q_yed_u2_stn_L1 = 0.0583977039584461 ;
es_g_yer_ecm_es_q_yed_L1 = 0.0189896046977422 ;
es_g_yer_ecm_u2_stn_L1 = -0.109597659887433 ;
es_g_yer_es_q_yed_L1 = 0.00376679676320256;
es_g_yer_es_g_yer_L1 = 0.480506381923643 ;
es_g_yer_u2_stn_L1 = -0.0722359286123494 ;
es_ehic_es_ehic_L1 = 1 ;
nl_q_yed_ecm_nl_q_yed_L1 = -0.822375165893149 ;
nl_q_yed_ecm_u2_stn_L1 = -0.323715338568977 ;
nl_q_yed_nl_g_yer_L1 = 0.0401361895021082 ;
nl_q_yed_u2_stn_L1 = 0.0583977039584461 ;
nl_g_yer_ecm_nl_q_yed_L1 = 0.0189896046977422 ;
nl_g_yer_ecm_u2_stn_L1 = -0.109597659887433 ;
nl_g_yer_nl_q_yed_L1 = 0.00376679676320256;
nl_g_yer_nl_g_yer_L1 = 0.480506381923643 ;
nl_g_yer_u2_stn_L1 = -0.0722359286123494 ;
nl_ehic_nl_ehic_L1 = 1 ;
model;
diff(U2_Q_YED) = u2_q_yed_ecm_u2_q_yed_L1 * (U2_Q_YED(-1) - U2_EHIC(-1))
+ u2_q_yed_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ u2_q_yed_u2_g_yer_L1 * diff(U2_G_YER(-1))
+ u2_q_yed_u2_stn_L1 * diff(U2_STN(-1))
+ res_U2_Q_YED ;
diff(U2_G_YER) = u2_g_yer_ecm_u2_q_yed_L1 * (U2_Q_YED(-1) - U2_EHIC(-1))
+ u2_g_yer_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ u2_g_yer_u2_q_yed_L1 * diff(U2_Q_YED(-1))
+ u2_g_yer_u2_g_yer_L1 * diff(U2_G_YER(-1))
+ u2_g_yer_u2_stn_L1 * diff(U2_STN(-1))
+ res_U2_G_YER ;
diff(U2_STN) = u2_stn_ecm_u2_q_yed_L1 * (U2_Q_YED(-1) - U2_EHIC(-1))
+ u2_stn_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ u2_stn_u2_q_yed_L1 * diff(U2_Q_YED(-1))
+ u2_stn_u2_g_yer_L1 * diff(U2_G_YER(-1))
+ res_U2_STN ;
U2_ESTN = u2_estn_u2_estn_L1 * U2_ESTN
+ res_U2_ESTN ;
U2_EHIC = u2_ehic_u2_ehic_L1 * U2_EHIC
+ res_U2_EHIC ;
diff(DE_Q_YED) = de_q_yed_ecm_de_q_yed_L1 * (DE_Q_YED(-1) - DE_EHIC(-1))
+ de_q_yed_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ de_q_yed_de_g_yer_L1 * diff(DE_G_YER(-1))
+ de_q_yed_u2_stn_L1 * diff(U2_STN(-1))
+ res_DE_Q_YED ;
diff(DE_G_YER) = de_g_yer_ecm_de_q_yed_L1 * (DE_Q_YED(-1) - DE_EHIC(-1))
+ de_g_yer_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ de_g_yer_de_q_yed_L1 * diff(DE_Q_YED(-1))
+ de_g_yer_de_g_yer_L1 * diff(DE_G_YER(-1))
+ de_g_yer_u2_stn_L1 * diff(U2_STN(-1))
+ res_DE_G_YER ;
DE_EHIC = de_ehic_de_ehic_L1 * DE_EHIC
+ res_DE_EHIC ;
diff(FR_Q_YED) = fr_q_yed_ecm_fr_q_yed_L1 * (FR_Q_YED(-1) - FR_EHIC(-1))
+ fr_q_yed_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ fr_q_yed_fr_g_yer_L1 * diff(FR_G_YER(-1))
+ fr_q_yed_u2_stn_L1 * diff(U2_STN(-1))
+ res_FR_Q_YED ;
diff(FR_G_YER) = fr_g_yer_ecm_fr_q_yed_L1 * (FR_Q_YED(-1) - FR_EHIC(-1))
+ fr_g_yer_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ fr_g_yer_fr_q_yed_L1 * diff(FR_Q_YED(-1))
+ fr_g_yer_fr_g_yer_L1 * diff(FR_G_YER(-1))
+ fr_g_yer_u2_stn_L1 * diff(U2_STN(-1))
+ res_FR_G_YER ;
FR_EHIC = fr_ehic_fr_ehic_L1 * FR_EHIC
+ res_FR_EHIC ;
diff(IT_Q_YED) = it_q_yed_ecm_it_q_yed_L1 * (IT_Q_YED(-1) - IT_EHIC(-1))
+ it_q_yed_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ it_q_yed_it_g_yer_L1 * diff(IT_G_YER(-1))
+ it_q_yed_u2_stn_L1 * diff(U2_STN(-1))
+ res_IT_Q_YED ;
diff(IT_G_YER) = it_g_yer_ecm_it_q_yed_L1 * (IT_Q_YED(-1) - IT_EHIC(-1))
+ it_g_yer_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ it_g_yer_it_q_yed_L1 * diff(IT_Q_YED(-1))
+ it_g_yer_it_g_yer_L1 * diff(IT_G_YER(-1))
+ it_g_yer_u2_stn_L1 * diff(U2_STN(-1))
+ res_IT_G_YER ;
IT_EHIC = it_ehic_it_ehic_L1 * IT_EHIC
+ res_IT_EHIC ;
diff(ES_Q_YED) = es_q_yed_ecm_es_q_yed_L1 * (ES_Q_YED(-1) - ES_EHIC(-1))
+ es_q_yed_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ es_q_yed_es_g_yer_L1 * diff(ES_G_YER(-1))
+ es_q_yed_u2_stn_L1 * diff(U2_STN(-1))
+ res_ES_Q_YED ;
diff(ES_G_YER) = es_g_yer_ecm_es_q_yed_L1 * (ES_Q_YED(-1) - ES_EHIC(-1))
+ es_g_yer_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ es_g_yer_es_q_yed_L1 * diff(ES_Q_YED(-1))
+ es_g_yer_es_g_yer_L1 * diff(ES_G_YER(-1))
+ es_g_yer_u2_stn_L1 * diff(U2_STN(-1))
+ res_ES_G_YER ;
ES_EHIC = es_ehic_es_ehic_L1 * ES_EHIC
+ res_ES_EHIC ;
diff(NL_Q_YED) = nl_q_yed_ecm_nl_q_yed_L1 * (NL_Q_YED(-1) - NL_EHIC(-1))
+ nl_q_yed_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ nl_q_yed_nl_g_yer_L1 * diff(NL_G_YER(-1))
+ nl_q_yed_u2_stn_L1 * diff(U2_STN(-1))
+ res_NL_Q_YED ;
diff(NL_G_YER) = nl_g_yer_ecm_nl_q_yed_L1 * (NL_Q_YED(-1) - NL_EHIC(-1))
+ nl_g_yer_ecm_u2_stn_L1 * (U2_STN(-1) - U2_ESTN(-1))
+ nl_g_yer_nl_q_yed_L1 * diff(NL_Q_YED(-1))
+ nl_g_yer_nl_g_yer_L1 * diff(NL_G_YER(-1))
+ nl_g_yer_u2_stn_L1 * diff(U2_STN(-1))
+ res_NL_G_YER ;
NL_EHIC = nl_ehic_nl_ehic_L1 * NL_EHIC
+ res_NL_EHIC ;
end;
mydseries = dseries(randn(40,20), 1, {'U2_Q_YED', ...
'U2_G_YER', ...
'U2_STN', ...
'U2_ESTN', ...
'U2_EHIC', ...
'DE_Q_YED', ...
'DE_G_YER', ...
'DE_EHIC', ...
'FR_Q_YED', ...
'FR_G_YER', ...
'FR_EHIC', ...
'IT_Q_YED', ...
'IT_G_YER', ...
'IT_EHIC', ...
'ES_Q_YED', ...
'ES_G_YER', ...
'ES_EHIC', ...
'NL_Q_YED', ...
'NL_G_YER', ...
'NL_EHIC'});
pooled_ols(mydseries, ...
{'de','u2','fr', 'it', 'es', 'nl'}, ...
{'*_q_yed_ecm_*_q_yed_L1', ...
'*_q_yed_ecm_u2_stn_L1', ...
'*_q_yed_*_g_yer_L1', ...
'*_q_yed_u2_stn_L1', ...
'*_g_yer_ecm_*_q_yed_L1', ...
'*_g_yer_ecm_u2_stn_L1', ...
'*_g_yer_*_q_yed_L1', ...
'*_g_yer_*_g_yer_L1', ...
'*_g_yer_u2_stn_L1', ...
'*_ehic_*_ehic_L1'});