## (Solved) Savio St. Olave St.

Using the data I have added as a attachment file in Excel, answer the following questions. Questions are also clarified more in the Excel Document.

1. How many observations are in the data.

2. What is the observational unit?

3. Create a dummy (binary) variable for Company. Name this Company_D

4. Calculate the treatment effect of being serviced by Company 1 on the probability dying from Cholera: E[outcome l company=1] - E[outcome l company =0]

5. Calculate the treatment effect of living in St. Savior, Southwark on the probability of dying from Cholera.

6. Which combination of company and district produced the highest probability of dying from Cholera? Clearly show your calculations in your excel sheet.

St. Savio St. Olave St. GeorgBermondsNewingtoLambeth WandsworCampberw
Rotherhit Company
1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1
1 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 1 0 0 0 0 0 0 0 0
0 1
1 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
0 0
0 1
1 0
0 0
0 0
0 0
0 0
0 0
0 0 0 1 0 0 0 0 0 0 0
0 0
0 0
0 1
1 0
0 0
0 0
0 0
0 0
0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
0 0
0 0
0 0
0 1
1 0
0 0
0 0
0 0
0 0 0 0 0 1 0 0 0 0 0
0 0
0 0
0 0
0 1
0 0
1 0
0 0
0 0
0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0
0
0
0
0
0
0
0
0
0
0
0
0 0
0
0
0
0
0
0
0
0
0
0
0
0 0
0
0
0
0
0
0
0
0
0
0
0
0 0
0
0
0
0
0
0
0
0
0
0
0
0 0
0
0
0
0
0
0
0
0
0
0
0
0 1
0
0
0
0
0
0
0
0
0
0
0
0 0
1
1
1
1
0
0
0
0
0
0
0
0 0
0
0
0
0
1
1
1
1
0
0
0
0 0
0
0
0
0
0
0
0
0
1
1
1
1 1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2
1
1
2
2 Outcome Count
0
19211
1
406
0
14129
1
72
0
18361
1
277
0
0
1
0
0
24651
1
388
0
23613
1
99
0
57063
1
821
0
1785
1
0
0
31482
1
458
0
33473
1
58
0
54457
1
525
0
83648
1
138
0
18122
1
268
0
3863
1
7
0
23120
1
352
0
10445
1
33
0
14744
1
207
0
0
1
0 Question Variable
#1
#2
n1
sum1
E1
n2
sum2
E2
#3
E1-E2
n3
sum3
E3
n4
sum4
E4
#4
E3-E4
n5
sum5
E5
n6
sum6
E6
#6
E5-E6 Description
Number of observations
Observational Unit
number who were serviced by Company 1
sum of outcome| company=1
E[outcome|company=1]
number who were serviced by Company 2
sum of outcome| company=0
E[outcome|company=0]
Treatment effect of company 1
number who lived in St. Savior, Southwark
sum of outcome | lived in St. Savior, Southwark
E[outcome| St. Savior, Southwark=1]
number who did not live in St. Savior, Southwark
sum of outcome | do not live in St. Savior, Southwark
E[outcome| St. Savior, Southwark=0]
Treatment effect of living in St. Savior, Southwark
number who live in Bermondsey
sum of outcome | live in Bermondsey
E[outcome| Bermondsey=1]
number who do not live in Bermondsey
sum of outcome | do not live in Bermondsey
E[outcome| Bermondsey=0]
Treatment effect of living in Bermondsey Value

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Sep 05, 2019

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