time | Calls | line |
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| | 15 | function [mt_util,mt_coh, mt_k, mt_l, mt_o]=hhsave_util_2OC(varargin)
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| | 16 |
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0.002 | 1 | 17 | close all;
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< 0.001 | 1 | 18 | bl_profile = false; % Switch off profile if running a tester/calling from another function
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< 0.001 | 1 | 19 | if(bl_profile)
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| | 20 | profile off;
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| | 21 | profile on;
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| | 22 | end
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| | 23 |
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0.406 | 1 | 24 | addpath(genpath('/Users/sidhantkhanna/Documents/GitHub/BKS modified/'));
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| | 25 |
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| | 26 | %% Assigning parameters
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| | 27 |
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< 0.001 | 1 | 28 | if ~isempty(varargin)
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| | 29 |
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0.002 | 1 | 30 | [ar_a,ar_z, ...
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| 1 | 31 | fl_alpha,fl_theta,fl_delta,fl_kappa,fl_r,fl_w,fl_phi,fl_ahi,fl_zhi, ...
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| 1 | 32 | fl_risk,it_zgridno, it_agridno, ...
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| 1 | 33 | ] = varargin{:};
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| | 34 |
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< 0.001 | 1 | 35 | bl_print = false;
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| | 36 |
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| | 37 |
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| | 38 | else
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| | 39 | close all;
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| | 40 |
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| | 41 | fl_ahi = 5;
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| | 42 | fl_zhi = 2.2;
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| | 43 | it_agridno = 4;
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| | 44 | it_zgridno = 5;
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| | 45 | ar_a = linspace(0,fl_ahi,it_agridno);
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| | 46 | ar_z = linspace(1,fl_zhi,it_zgridno);
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| | 47 | fl_phi = 0.5;
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| | 48 | fl_risk = 2;
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| | 49 |
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| | 50 | fl_alpha = 0.4;
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| | 51 | fl_theta = 0.79-fl_alpha;
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| | 52 | fl_delta = 0.05;
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| | 53 | fl_kappa = 0;
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| | 54 |
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| | 55 | [fl_r,fl_w] = ...
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| | 56 | deal(0.05,1.5);
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| | 57 | bl_print = true;
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| | 58 |
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< 0.001 | 1 | 59 | end
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| | 60 |
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< 0.001 | 1 | 61 | fl_R = fl_r + fl_delta;
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| | 62 | %% Calling OC2
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| | 63 |
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2.429 | 1 | 64 | [mt_o, mt_coh, mt_k, mt_l] = OC2(ar_a,ar_z, ...
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| 1 | 65 | fl_alpha,fl_theta,fl_delta,fl_kappa,fl_r,fl_w,fl_phi,fl_ahi,fl_zhi, ...
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| 1 | 66 | it_zgridno, it_agridno);
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| | 67 |
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| | 68 | %% Computing consumption
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| | 69 |
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< 0.001 | 1 | 70 | mt3_coh= repmat (mt_coh, [1 1 it_agridno]);
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| | 71 | %Projecting COH matrix to a third dimension of size of asset grid which will be used for evaluating optimal future assets
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| | 72 |
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< 0.001 | 1 | 73 | mt_futassets=ones(it_agridno,it_zgridno,it_agridno).*ar_a';
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| | 74 | % 3d asset matrix to subtract future assets from COH to compute consumption
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| | 75 |
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< 0.001 | 1 | 76 | mt_futassets=permute(mt_futassets,[3 2 1]);
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| | 77 | % reorder matrix to correct dimension so as to match COH matrix layout
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| | 78 |
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< 0.001 | 1 | 79 | mt_con =mt3_coh-mt_futassets; % Consumption Matrix for each a, z, future a
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| | 80 |
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< 0.001 | 1 | 81 | neg = find(mt_con<=0); % Find where consumption is negative ( each combi of a, z, a')
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| | 82 |
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| | 83 | %% Computing utility
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| | 84 |
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| | 85 | %mt_con(neg) = NaN;
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| | 86 |
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< 0.001 | 1 | 87 | if(fl_risk==1)
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< 0.001 | 1 | 88 | mt_util=log(mt_con);
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| | 89 | else
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| | 90 | mt_util= (mt_con.^(1-fl_risk) -1)/(1-fl_risk); % Utility Part of value function
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< 0.001 | 1 | 91 | end
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< 0.001 | 1 | 92 | mt_util(neg) = -1000; % Assign big negative value to optimal consumption
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| | 93 |
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| | 94 | %% Printing outputs
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| | 95 |
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< 0.001 | 1 | 96 | if(bl_print)
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| | 97 | disp('Below is the COH matrix for for all combinations of a, z and future a');
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| | 98 | disp(mt3_coh);
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| | 99 | disp('Below is the future assets matrix for each combination of a, z and future a');
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| | 100 | disp(mt_futassets);
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| | 101 | disp('Below is the consumption matrix for for all combinations of a, z and future a');
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| | 102 | disp(mt_con);
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| | 103 | disp('Below is the utility matrix for for all combinations of a, z and future a');
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| | 104 | disp(mt_util);
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| | 105 | end
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| | 106 |
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< 0.001 | 1 | 107 | if(bl_profile)
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| | 108 | profile off;
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| | 109 | profile viewer;
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| | 110 | st_file_name = '/Users/sidhantkhanna/Documents/GitHub/BKS modified/code/Profile/Households/hhsave_util_2OC';
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| | 111 | profsave(profile('info'), st_file_name);
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| | 112 | end
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