1function o = mgrowth_(o) % --*-- Unitary tests --*--
2
3% Computes monthly growth rates.
4%
5% INPUTS
6% - o   [dseries]
7%
8% OUTPUTS
9% - o   [dseries]
10
11% Copyright (C) 2017 Dynare Team
12%
13% This file is part of Dynare.
14%
15% Dynare is free software: you can redistribute it and/or modify
16% it under the terms of the GNU General Public License as published by
17% the Free Software Foundation, either version 3 of the License, or
18% (at your option) any later version.
19%
20% Dynare is distributed in the hope that it will be useful,
21% but WITHOUT ANY WARRANTY; without even the implied warranty of
22% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
23% GNU General Public License for more details.
24%
25% You should have received a copy of the GNU General Public License
26% along with Dynare.  If not, see <http://www.gnu.org/licenses/>.
27
28switch frequency(o)
29  case 1
30    error('dseries::mgrowth: I cannot compute monthly growth rates from yearly data!')
31  case 4
32    error('dseries::mgrowth: I cannot compute monthly growth rates from quaterly data!')
33  case 12
34    o.data(2:end,:) = o.data(2:end,:)./o.data(1:end-1,:) - 1;
35    o.data(1,:) = NaN;
36  otherwise
37    error(['dseries::mgrowth: object ' inputname(1) ' has unknown frequency']);
38end
39
40for i = 1:vobs(o)
41    if isempty(o.ops{i})
42        o.ops(i) = {['mgrowth(' o.name{i} ')']};
43    else
44        o.ops(i) = {['mgrowth(' o.ops{i} ')']};
45    end
46end
47
48%@test:1
49%$ try
50%$     data = (1+.01).^transpose(0:1:50);
51%$     ts = dseries(data,'1950Q1');
52%$     ts.mgrowth_;
53%$     t(1) = 0;
54%$ catch
55%$     t(1) = 1;
56%$ end
57%$
58%$ T = all(t);
59%@eof:1
60
61%@test:2
62%$ try
63%$     data = (1+.01).^transpose(0:1:80);
64%$     ts = dseries(data, '1950M1');
65%$     ts.mgrowth_;
66%$     t(1) = 1;
67%$ catch
68%$     t(1) = 0;
69%$ end
70%$
71%$ if t(1)
72%$     DATA = NaN(1,ts.vobs);
73%$     DATA = [DATA; (1.01-1)*ones(ts.nobs-1, ts.vobs)];
74%$     t(2) = dassert(ts.data, DATA, 1e-15);
75%$ end
76%$
77%$ T = all(t);
78%@eof:2
79