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import numpy as np | |
import numpy.random as nr | |
def gen(N): | |
X = nr.choice([0,1],size=N,p=[0.6,0.4]) | |
D = nr.choice([0,1],size=N,p=[0.6,0.4]) | |
epsi = nr.uniform(0,2,N) | |
Y = X+D*epsi | |
return X,D,epsi,Y | |
def estim(D,Y): |
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import itertools as it | |
NTHUGS = 3 | |
NCASES = 2 | |
BOATCAP = 3 | |
thugs = set() | |
cases = set() | |
owner = dict() | |
nresults = 0 |
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# Basic RBC model with full depreciation | |
# U(c) = log(c) | |
# F(K) = Z k^\alpha | |
# where Z is a finite-state Markov chain | |
# | |
# Original version: | |
# Jesus Fernandez-Villaverde | |
# Haverford, July 3, 2013 | |
# https://github.com/jesusfv/Comparison-Programming-Languages-Economics/blob/master/RBC_Python.py | |
# |
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{-#LANGUAGE BangPatterns #-} | |
{- | |
Enumerate all closed Knight's Tours in an | |
arbitrarity sized chessboard. Multi-threaded version. | |
Usage: | |
KnightTours m n +RTS -N | |
Compile with: |
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/* | |
A multi-threaded brute-force search for closed Knight's tours (used OpenMP) | |
Usage: knights_tours [m] [n] | |
to search for tour on a m x n board | |
rows are denoted by letters A.., columns by numbers 0.. | |
Compile with | |
g++ -O3 -Wall -std=c++11 -fopenmp knight_tours.cc -o knight_tours |
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/* | |
A multi-threaded brute-force search for closed Knight's tours (used OpenMP) | |
Usage: knights_tours [m] [n] | |
to search for tour on a m x n board | |
rows are denoted by letters A.., columns by numbers 0.. | |
Compile with | |
g++ -O3 -Wall -std=c++11 -fopenmp knight_tours.cc -o knight_tours |
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#!/usr/bin/python3 | |
""" | |
Download wheat price data from http://agmarket.nic.in | |
Data is saved in file wheat.csv in current directory | |
Author: Jyotirmoy Bhattacharya, Ambedkar University, New Delhi, [email protected] | |
""" | |
from selenium import webdriver | |
from selenium.webdriver.common.keys import Keys |
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library(QZ) | |
# Parameters | |
sigma = 1 #log utility | |
phi=1 #unitary Frisch elasticity | |
phi_pi = 1.5 #inflation feedback Taylor Rule | |
phi_y = .5/4 #output feedback Taylor Rule | |
theta=2/3 #Calvo parameter | |
rho_nu = 0.5 #autocorrelation monetary policy shock |
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/* | |
An implementation of Norvig's spelling corrector | |
Original: http://norvig.com/spell-correct.html | |
Author: Jyotirmoy Bhattacharya [[email protected]] | |
Must be compiled as C++14 (-std=c++1y for g++) | |
*/ | |
#include <iostream> |