Automagically increase the number of observations in the assigned variable if needed.
So that the following is possible y = dseries([0],'1990Q1','y'); e = dseries(randn(1000,1),'1990Q1','e'); from 1990Q2 to 2239Q4 do y(t) = .5*y(t-1) + e(t) - .5*e(t-1)*y(t-1) +.1*y(t-1)^2 Initially y has only one observation (which is mandatory because y depends on its first lag), the routine extends the number of observations so that y.dates(end)==2239Q4 Note that the exogenous variables are not adjusted, they must be defined (leads/lags included) between the first and last dates of the from-to-do syntax.time-shift
parent
02d410fe08
commit
08ea66057c
|
@ -86,6 +86,17 @@ end
|
|||
% Build the recursive expression.
|
||||
EXPRESSION = char([varargin{5:end}]);
|
||||
|
||||
% Check that the expression is an assignment
|
||||
equal_id = strfind(EXPRESSION,'=');
|
||||
if isempty(equal_id)
|
||||
error('dseries::from: Wrong syntax! The expression following the DO keyword must be an assignment (missing equal symbol).')
|
||||
end
|
||||
|
||||
% Issue ann error message if the user attempts to do more than one assignment.
|
||||
if ~isequal(length(equal_id),1)
|
||||
error('dseries::from: Not yet implemented! Only one assignment is allowed in the FROM-TO-DO statement.')
|
||||
end
|
||||
|
||||
% Get all the variables involved in the recursive expression.
|
||||
variables = unique(regexpi(EXPRESSION, '\w*\(t\)|\w*\(t\-\d\)|\w*\(t\+\d\)|\w*\.\w*\(t\)|\w*\.\w*\(t\-\d\)|\w*\.\w*\(t\+\d\)','match'));
|
||||
|
||||
|
@ -221,54 +232,50 @@ for i=1:number_of_variables
|
|||
error(msg)
|
||||
end
|
||||
if d2>var.dates(end)-leadlagtable{i,4}
|
||||
msg = sprintf('dseries::from: Last date of the loop (%s) is inconsistent with %s''s range!\n',char(d2),current_variable);
|
||||
msg = [msg, sprintf(' Last date should be less than or equal to %s.',char(var.dates(end)-leadlagtable{i,4}))];
|
||||
error(msg)
|
||||
% The first variable should be the assigned variable (will be tested later)
|
||||
if ~isassignedvariable(leadlagtable{i,1},EXPRESSION)
|
||||
msg = sprintf('dseries::from: Last date of the loop (%s) is inconsistent with %s''s range!\n',char(d2),current_variable);
|
||||
msg = [msg, sprintf(' Last date should be less than or equal to %s.',char(var.dates(end)-leadlagtable{i,4}))];
|
||||
error(msg)
|
||||
else
|
||||
var = [var; dseries(NaN((d2-var.dates(end)),1),var.dates(end)+1:d2,var.name)];
|
||||
end
|
||||
end
|
||||
eval(sprintf('%s = var;',current_variable));
|
||||
end
|
||||
end
|
||||
|
||||
% Check that the recursion is assigning something to a variable
|
||||
equal_id = strfind(EXPRESSION,'=');
|
||||
if isempty(equal_id)
|
||||
error('dseries::from: Wrong syntax! The expression following the DO keyword must be an assignment (missing equal symbol).')
|
||||
% Get the name of the assigned variable (with time index)
|
||||
assignedvariablename = regexpi(EXPRESSION(1:equal_id-1), '\w*\(t\)|\w*\(t\-\d\)|\w*\(t\+\d\)|\w*\.\w*\(t\)|\w*\.\w*\(t\-\d\)|\w*\.\w*\(t\+\d\)','match');
|
||||
if isempty(assignedvariablename)
|
||||
error('dseries::from: Wrong syntax! The expression following the DO keyword must be an assignment (missing variable before the equal symbol).')
|
||||
end
|
||||
if isequal(length(equal_id),1)
|
||||
% Get the name of the assigned variable (with time index)
|
||||
assignedvariablename = regexpi(EXPRESSION(1:equal_id-1), '\w*\(t\)|\w*\(t\-\d\)|\w*\(t\+\d\)|\w*\.\w*\(t\)|\w*\.\w*\(t\-\d\)|\w*\.\w*\(t\+\d\)','match');
|
||||
if isempty(assignedvariablename)
|
||||
error('dseries::from: Wrong syntax! The expression following the DO keyword must be an assignment (missing variable before the equal symbol).')
|
||||
if length(assignedvariablename)>1
|
||||
error('dseries::from: No more than one variable can be assigned!')
|
||||
end
|
||||
% Check if the model is static
|
||||
start = regexpi(assignedvariablename{1},'\(t\)|\(t\-\d\)|\(t\+\d\)');
|
||||
index = assignedvariablename{1}(start:end);
|
||||
assignedvariablename = assignedvariablename{1}(1:start-1);
|
||||
indva = strmatch(assignedvariablename, leadlagtable(:,1));
|
||||
dynamicmodel = ~isempty(regexpi(EXPRESSION(equal_id:end), ...
|
||||
sprintf('%s\\(t\\)|%s\\(t\\-\\d\\)|%s\\(t\\+\\d\\)',assignedvariablename,assignedvariablename,assignedvariablename),'match'));
|
||||
% Check that the dynamic model for the endogenous variable is not forward looking.
|
||||
if dynamicmodel
|
||||
indum = index2num(index);
|
||||
if indum<leadlagtable{indva,4}
|
||||
error('dseries::from: It is not possible to simulate a forward looking model!')
|
||||
end
|
||||
if length(assignedvariablename)>1
|
||||
error('dseries::from: No more than one variable can be assigned!')
|
||||
end
|
||||
% Check that the assigned variable does not depend on itself (the assigned variable can depend on its past level but not on the current level).
|
||||
if dynamicmodel
|
||||
tmp = regexpi(EXPRESSION(equal_id+1:end), ...
|
||||
sprintf('%s\\(t\\)|%s\\(t\\-\\d\\)|%s\\(t\\+\\d\\)',assignedvariablename,assignedvariablename,assignedvariablename),'match');
|
||||
tmp = cellfun(@extractindex, tmp);
|
||||
tmp = cellfun(@index2num, tmp);
|
||||
if ~all(tmp(:)<indum)
|
||||
error(sprintf('dseries::from: On the righthand side, the endogenous variable, %s, must be indexed by %s at most.',assignedvariablename,num2index(indum-1)))
|
||||
end
|
||||
% Check if the model is static
|
||||
start = regexpi(assignedvariablename{1},'\(t\)|\(t\-\d\)|\(t\+\d\)');
|
||||
index = assignedvariablename{1}(start:end);
|
||||
assignedvariablename = assignedvariablename{1}(1:start-1);
|
||||
indva = strmatch(assignedvariablename, leadlagtable(:,1));
|
||||
dynamicmodel = ~isempty(regexpi(EXPRESSION(equal_id:end), ...
|
||||
sprintf('%s\\(t\\)|%s\\(t\\-\\d\\)|%s\\(t\\+\\d\\)',assignedvariablename,assignedvariablename,assignedvariablename),'match'));
|
||||
% Check that the dynamic model for the endogenous variable is not forward looking.
|
||||
if dynamicmodel
|
||||
indum = index2num(index);
|
||||
if indum<leadlagtable{indva,4}
|
||||
error('dseries::from: It is not possible to simulate a forward looking model!')
|
||||
end
|
||||
end
|
||||
% Check that the assigned variable does not depend on itself (the assigned variable can depend on its past level but not on the current level).
|
||||
if dynamicmodel
|
||||
tmp = regexpi(EXPRESSION(equal_id+1:end), ...
|
||||
sprintf('%s\\(t\\)|%s\\(t\\-\\d\\)|%s\\(t\\+\\d\\)',assignedvariablename,assignedvariablename,assignedvariablename),'match');
|
||||
tmp = cellfun(@extractindex, tmp);
|
||||
tmp = cellfun(@index2num, tmp);
|
||||
if ~all(tmp(:)<indum)
|
||||
error(sprintf('dseries::from: On the righthand side, the endogenous variable, %s, must be indexed by %s at most.',assignedvariablename,num2index(indum-1)))
|
||||
end
|
||||
end
|
||||
else
|
||||
error('dseries::from: Not yet implemented! Only one assignment is allowed in the FROM-TO-DO statement.')
|
||||
end
|
||||
|
||||
% Put all the variables in a unique dseries object.
|
||||
|
@ -403,4 +410,15 @@ function id = num2index(i)
|
|||
id = ['(t-' int2str(abs(i)) ')'];
|
||||
else
|
||||
id = ['(t+' int2str(i) ')'];
|
||||
end
|
||||
end
|
||||
|
||||
function i = isassignedvariable(var,expr)
|
||||
idv = strfind(expr,var);
|
||||
idq = strfind(expr,'=');
|
||||
if ~isempty(idv)
|
||||
if idv(1)<idq
|
||||
i = 1;
|
||||
return
|
||||
end
|
||||
end
|
||||
i = 0;
|
Loading…
Reference in New Issue