Applied Econometrics using Python

Abstract

This manual aims to present a high level Python programming language for econometrics application serving as a practical guide for researchers interested in using this tool. This manual is under construction and will be constantly updated.

Full text

x=
n
X
i=1
xi
n
xi→
n→

g=n
√x1∗x2∗ · ·· ∗ xn
g= (x1∗x2∗ · ·· ∗ xn)1
n
xi→
n→
h=n
1
x1+1
x2+· ·· +1
xn
xi→

n→
50%
50%
{7,9,1,5,3} {1,3,5,7,9}
{9,7,5,3,1}
PMd=n+1
2
PMd=n
2PMd=n
2+ 1
PMd→
n→
1,3,5,7,9
PMd=n+1
2
PMd=5+1
2=6
2= 3

Md= 5
1,3,5,7,9,10
PMd=n
2PMd=n
2+ 1
PMd=6
2= 3
PMd=6
2+ 1 = 3 + 1 = 4
3rd 4th
5 7
¯x=5+7
2=12
2= 6
Md= 6

→
→
Y=β0+β1X+µ
Y→
β0β1→
X→
µ→
X

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filedialog.askopenfilename ()
pers con.head ()
filedialog.askopenfilename ()
,→

1% 5% 10%
1% 5%
10%
data.frame pers con
,→
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y x
x y
x
y x
+1 −1

y x

,→

20.183
7.037
34.399
5.326
P > |t|
(1%,5% 10%)
P rob (Omnibus)=0.389 (1%,5% 10%)
2×(1 −r)
(Durbin −W atson = 0.334)
1.488

(0.998)
(1.72e+ 04)

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