-
Notifications
You must be signed in to change notification settings - Fork 131
/
RBC_CS.cs
149 lines (114 loc) · 5.89 KB
/
RBC_CS.cs
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace EconomicsCSharp {
class Program {
static void Main(string[] args) {
var stopWatch = new System.Diagnostics.Stopwatch();
stopWatch.Restart();
run();
stopWatch.Stop();
Console.WriteLine(string.Format("Elapsed Time: {0:0.000} seconds", stopWatch.Elapsed.TotalSeconds));
}
static void run() {
///////////////////////////////////////////////////////////////////////////////////////////
// 1. Calibration
///////////////////////////////////////////////////////////////////////////////////////////
const double aalpha = 0.33333333333; // Elasticity of output w.r.t. capital
const double bbeta = 0.95; // Discount factor;
// Productivity values
var vProductivity = new double[] { 0.9792, 0.9896, 1.0000, 1.0106, 1.0212 };
// Transition matrix
var mTransition = new double[,] {
{ 0.9727, 0.0273, 0.0000, 0.0000, 0.0000 },
{ 0.0041, 0.9806, 0.0153, 0.0000, 0.0000 },
{ 0.0000, 0.0082, 0.9837, 0.0082, 0.0000 },
{ 0.0000, 0.0000, 0.0153, 0.9806, 0.0041 },
{ 0.0000, 0.0000, 0.0000, 0.0273, 0.9727 }
};
///////////////////////////////////////////////////////////////////////////////////////////
// 2. Steady State
///////////////////////////////////////////////////////////////////////////////////////////
double capitalSteadyState = Math.Pow(aalpha * bbeta, 1 / (1 - aalpha));
double outputSteadyState = Math.Pow(capitalSteadyState, aalpha);
double consumptionSteadyState = outputSteadyState - capitalSteadyState;
Console.WriteLine("Output = " + outputSteadyState + ", Capital = " + capitalSteadyState + ", Consumption = " + consumptionSteadyState);
// We generate the grid of capital
int nCapital, nCapitalNextPeriod, gridCapitalNextPeriod, nProductivity, nProductivityNextPeriod;
const int nGridCapital = 17820;
const int nGridProductivity = 5;
var vGridCapital = new double[nGridCapital];
for (nCapital = 0; nCapital < nGridCapital; ++nCapital) {
vGridCapital[nCapital] = 0.5 * capitalSteadyState + 0.00001 * nCapital;
}
// 3. Required matrices and vectors
var mOutput = new double[nGridCapital, nGridProductivity];
var mValueFunction = new double[nGridCapital, nGridProductivity];
var mValueFunctionNew = new double[nGridCapital, nGridProductivity];
var mPolicyFunction = new double[nGridCapital, nGridProductivity];
var expectedValueFunction = new double[nGridCapital, nGridProductivity];
// 4. We pre-build output for each point in the grid
for (nProductivity = 0; nProductivity < nGridProductivity; ++nProductivity) {
for (nCapital = 0; nCapital < nGridCapital; ++nCapital) {
mOutput[nCapital, nProductivity] = vProductivity[nProductivity] * Math.Pow(vGridCapital[nCapital], aalpha);
}
}
// 5. Main iteration
double maxDifference = 10.0, diff, diffHighSoFar;
double tolerance = 0.0000001;
double valueHighSoFar, valueProvisional, consumption, capitalChoice;
int iteration = 0;
while (maxDifference > tolerance) {
for (nProductivity = 0; nProductivity < nGridProductivity; ++nProductivity) {
for (nCapital = 0; nCapital < nGridCapital; ++nCapital) {
expectedValueFunction[nCapital, nProductivity] = 0.0;
for (nProductivityNextPeriod = 0; nProductivityNextPeriod < nGridProductivity; ++nProductivityNextPeriod) {
expectedValueFunction[nCapital, nProductivity] += mTransition[nProductivity, nProductivityNextPeriod] * mValueFunction[nCapital, nProductivityNextPeriod];
}
}
}
for (nProductivity = 0; nProductivity < nGridProductivity; ++nProductivity) {
// We start from previous choice (monotonicity of policy function)
gridCapitalNextPeriod = 0;
for (nCapital = 0; nCapital < nGridCapital; ++nCapital) {
valueHighSoFar = -100000.0;
capitalChoice = vGridCapital[0];
for (nCapitalNextPeriod = gridCapitalNextPeriod; nCapitalNextPeriod < nGridCapital; ++nCapitalNextPeriod) {
consumption = mOutput[nCapital, nProductivity] - vGridCapital[nCapitalNextPeriod];
valueProvisional = (1 - bbeta) * Math.Log(consumption) + bbeta * expectedValueFunction[nCapitalNextPeriod, nProductivity];
if (valueProvisional > valueHighSoFar) {
valueHighSoFar = valueProvisional;
capitalChoice = vGridCapital[nCapitalNextPeriod];
gridCapitalNextPeriod = nCapitalNextPeriod;
}
else {
break; // We break when we have achieved the max
}
mValueFunctionNew[nCapital, nProductivity] = valueHighSoFar;
mPolicyFunction[nCapital, nProductivity] = capitalChoice;
}
}
}
diffHighSoFar = -100000.0;
for (nProductivity = 0; nProductivity < nGridProductivity; ++nProductivity) {
for (nCapital = 0; nCapital < nGridCapital; ++nCapital) {
diff = Math.Abs(mValueFunction[nCapital, nProductivity] - mValueFunctionNew[nCapital, nProductivity]);
if (diff > diffHighSoFar) {
diffHighSoFar = diff;
}
mValueFunction[nCapital, nProductivity] = mValueFunctionNew[nCapital, nProductivity];
}
}
maxDifference = diffHighSoFar;
iteration = iteration + 1;
if (iteration % 10 == 0 || iteration == 1) {
Console.WriteLine("Iteration = " + iteration + ", Sup Diff = " + maxDifference);
}
}
Console.WriteLine("Iteration = " + iteration + ", Sup Diff = " + maxDifference);
Console.WriteLine("My check = " + mPolicyFunction[999, 2]);
}
}
}