Examen

Geografia Turismului

V1

Exchange of Goods and Services in the U.S. for 1947 (in billions of 1947 dollars)



In [58]:

    
import numpy as np
import pandas as pd



In [2]:

    
ls









    



Exam v 0_1.ipynb  leontief.csv  QE_P2L01.ipynb  Untitled0.ipynb



In [16]:

    
f = open('leontief.csv')



In [17]:

    
Names = (f.next().strip()).split(',')
data =[]



In [18]:

    
for row in f:
    #np.vstack(data,(row.strip().split(',')))
    data.append(row.strip().split(','))



In [35]:

    
data = np.array(data)

# Extracting External Demand
Ex_Demand= data[:-1][:,-1]
Ex_Demand=Ex_Demand.astype(float)
# Extracting Gross Product
Gross_Product = data[-1][:-1]
Gross_Product=Gross_Product.astype(float)
# Extracting Expenditures Matrix
A = data[:-1][:,:-1]
A=A.astype(float)

print Ex_Demand
print Gross_Product
print A









    



[  39.24   60.02  130.65]
[  84.56  163.43  219.03]
[[ 34.69   4.92   5.62]
 [  5.28  61.28  22.99]
 [ 10.45  25.95  42.03]]



In [43]:

    
Demand = []
for i in xrange(len(A[0])):
    Demand.append (sum(A[i])+Ex_Demand[i])
Demand= np.array(Demand)
Income = Gross_Product - Demand
Income









    Out[43]:





array([  0.09,  13.86,   9.95])



In [68]:

    
A_tc = A / Gross_Product
print A_tc









    



[[ 0.41024125  0.03010463  0.02565859]
 [ 0.06244087  0.37496176  0.10496279]
 [ 0.12358089  0.15878358  0.19189152]]



In [74]:

    
L = (np.identity(len(A[0])) - A_tc)
L









    Out[74]:





array([[ 0.58975875, -0.03010463, -0.02565859],
       [-0.06244087,  0.62503824, -0.10496279],
       [-0.12358089, -0.15878358,  0.80810848]])



In [73]:

    
linalg.inv(L)









    Out[73]:





array([[ 1.72036911,  0.10003816,  0.06761781],
       [ 0.22341618,  1.66748571,  0.2236785 ],
       [ 0.30698795,  0.34293929,  1.29174829]])



In [77]:

    
P = np.dot(linalg.inv(L), Ex_Demand)



In [78]:

    
P









    Out[78]:





array([  82.3458407 ,  138.07293955,  201.39633704])

$ Turisti_{t} = \alpha * Turisti_{t-1} + \beta_{0} +\beta_{1}GDP_{cap} + \beta_{2}\frac{Prices_{foreign}}{Prices_{home}} + \beta_{3}*ExRate_{\frac{Foreign}{MDL}}+\beta_{4}CO_{2}$



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