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Trying to reproduce Yuji Ijiri's 1964 paper about business firm growth and size
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#include <iostream> | |
#include <fstream> | |
#include <cstdlib> | |
#include <algorithm> | |
#include <vector> | |
static const int SESSIONS = 10000; | |
static const double ALPHA = 0.25; | |
static const double BETA = 0.95; | |
void seed() { | |
int seed; | |
std::cout << "Enter seed number : "; | |
std::cin >> seed; | |
srand(seed); | |
} | |
double sample() { | |
return (double)rand() / RAND_MAX; | |
} | |
struct Firm { | |
int size; | |
double weight; | |
Firm(int size, double weight) : size(size), weight(weight) {} | |
}; | |
struct Industry { | |
std::vector<Firm> firms; | |
int total_size = 0; | |
double total_weight = 0; | |
void add(Firm firm) { | |
firms.push_back(firm); | |
total_weight += firm.weight; | |
total_size += firm.size; | |
} | |
void step() { | |
// calculates values at step t based on the values at step t-1 | |
// initial state: | |
// firm.size - size of each firm at t - 1: x(t-1) | |
// firm.weight - weights to select the firm to grow at this step: sum(tau = 1...t-1, x(tau) * beta ^ tau) | |
// result: | |
// firm.size - size of each firm at t: x(t) | |
// firm.weight - weights to select the firm to grow at the next step: sum(tau = 1...t, x(tau) * beta ^ tau) | |
// stage 1 | |
if (sample() < ALPHA) { | |
firms.push_back(Firm(1, 1)); | |
total_size++; | |
} else { | |
// stage 2 | |
double r = sample(); | |
double sum = 0; | |
auto growing = firms.begin(); | |
for (auto firm = firms.begin(); firm != firms.end(); firm++) { | |
sum += firm->weight; | |
if (sum > r * total_weight) { | |
// this way growing will point to the firm with the largest index which satisfies the condition | |
break; | |
} | |
growing = firm; | |
} | |
// the firm size grows by 1 | |
growing->size++; | |
total_size++; | |
// the weight gets incremented by 1, and then decays | |
growing->weight += 1.0; | |
} | |
// decaying | |
double sum = 0; | |
for (Firm &firm : firms) { | |
firm.weight *= BETA; | |
sum += firm.weight; | |
} | |
total_weight = sum; | |
} | |
void sort() { | |
// sort so that firms with larger size comes first | |
std::sort(firms.begin(), firms.end(), [](Firm a, Firm b) { return a.size > b.size; }); | |
} | |
void print(std::string file) { | |
std::ofstream output(file); | |
if (!output) { | |
std::cerr << "Could not open output file!" << std::endl; | |
return; | |
} | |
output << "Rank" << "," << "Firm Size" << "," << "Number of Firms" << "," << "Weight" << "," << "Cumulative Weight" << "," << "Cumulative Percent of Total Assets" << std::endl; | |
int sum_size = 0; | |
double sum_weight = 0; | |
int rank = 0; | |
for (auto firm = firms.begin(); firm != firms.end();) { | |
int count = 1; | |
double weight = firm->weight; | |
int size = firm->size; | |
while (true) { | |
firm++; | |
if (firm == firms.end() || firm->size != size) break; | |
count++; | |
weight += firm->weight; | |
} | |
rank += count; | |
sum_size += count * size; | |
sum_weight += weight; | |
output << rank << "," << size << "," << count << "," << weight / total_weight << "," << sum_weight / total_weight << "," << (double)sum_size / total_size << std::endl; | |
} | |
std::cout << "Output Complete!" << std::endl; | |
} | |
}; | |
int main(int argc, char **argv) { | |
seed(); | |
Industry industry; | |
industry.add(Firm(5, 1.0)); | |
industry.add(Firm(3, 1.0)); | |
industry.add(Firm(1, 1.0)); | |
for (int i = 0; i < SESSIONS; i++) { | |
industry.step(); | |
} | |
industry.sort(); | |
industry.print("output.csv"); | |
return 0; | |
} |
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