Project I - PowerPoint PPT Presentation

1 / 28
About This Presentation
Title:

Project I

Description:

Tobit: extension of probit. Count models. Poisson. 9 ... Linear probability model, logit or probit # of O-Ring failures per launch, OLS, Tobit, Poisson ... – PowerPoint PPT presentation

Number of Views:77
Avg rating:3.0/5.0
Slides: 29
Provided by: lladph
Category:
Tags: probit | project

less

Transcript and Presenter's Notes

Title: Project I


1
Project I
  • The Challenger Disaster

2
What to do with the zeros?
3
(No Transcript)
4
Never Throw Away Data
5
(No Transcript)
6
Which is the greater sin, (1) throwing away data
or running a biased regression?
7
(No Transcript)
8
Two Regression Approaches
  • Probability Models Qualitative dependent
  • Linear probability model
  • Non-linear
  • Probit
  • logit
  • Number Models Quantitative dependent
  • OLS, biased
  • Tobit extension of probit
  • Count models
  • Poisson

9
Probability Models
  • One or more failures per launch coded as 1
  • Zero failures per launch coded as 0

10
Low Temperature 6 launches with failures out of
12 cases
High Temperature 1 launch with failure out of12
cases
11
5
1.645
-34.7
12
Ex Post the event either happens (code 1) or
does not (code 2)
13
Ex Ante what is the probability the event will
happen?
14
(No Transcript)
15
(No Transcript)
16
(No Transcript)
17
Is there another factor besides temperature?
18
(No Transcript)
19
Who Me Worry?
  • The Culture at NASA getting away with problems
    that should be fixed
  • O-rings
  • Foam
  • NASA may not have been so worried about o-ring
    failures. They had experienced successful returns
    of the shuttle with as many as three o-ring
    failures

20
Quantitative Models
21
1 obs.
2 obs.
22
(No Transcript)
23
(No Transcript)
24
(No Transcript)
25
Check List
  • Data
  • Plots
  • 7 launches with failures
  • 24 launches
  • Linear probability model, logit or probit
  • of O-Ring failures per launch, OLS, Tobit,
    Poisson
  • Estimation Results, Labeled
  • Goodness of fit
  • Significance t-stat, F-stat

26
(No Transcript)
27
(No Transcript)
28
(No Transcript)
Write a Comment
User Comments (0)
About PowerShow.com