CE 614: Statistical and Econometric Methods I







CE614 Homepage
Instructor: Fred Mannering, Professor, School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907; (765) 496-7913;e-mail: flm@purdue.edu; links: personal homepage.

Course Summary: The objective of this course is to provide students with a general background in the application of various statistical and econometric analysis techniques. The course will present a number of model-estimation methods that are used in the analysis of engineering and scientific data. It is important to note that the methods presented can be used in a wide variety of data-analysis applications and go well beyond the techniques typically covered in statistics courses. The course will emphasize model estimation and application, but underlying theory and limitations will be discussed to ensure that the methods are properly applied and understood.

Time and Location: Fall Semester, Thursdays 5:30-8:30, in room HAMP 1252.

Textbook: Washington, S., M. Karlaftis and F. Mannering (2011) Statistical and econometric methods for transportation data analysis, Second Edition, Chapman & Hall/CRC, Boca Raton, FL, 544 pages. Online price availability
Notes: F. Mannering (2013) Statistical and Econometric Methods I, CE614 course notes, available at Copymat, 135 S. Chauncey Ave. West Lafayette, 743-5995: Copymat website

Course syllabus
First lecture PowerPoints
Example Assignment

Final Exam, Thursday December 12, 2013, Hamp 1144; 7:00pm to 9:00pm
Mid-Term Exam Comments
Mid-Term Chi-Squared
Mid-Term Point Deductions
Mid-Term Exam, Take-Home, given Thursday October 31, 2013, due Thursday November 7, 2013
Mid-Term Exam
Mid-Term data file
Mid-Term data key
Mid-Term Histograms

Assignment #1 (due September 12)
Assignment #2 (due September 19)
LL(0) for Assignment #2
Assignment #2a (due September 19)
Assignment #3 (due September 26)
Table-Template (must use Table template for Assignment #3)
Assignment #4 (due October 3)
Assignment #5 (due October 10)
Assignment #6 (due October 17)
Assignment #7 (due October 24)
Assignment #8 (due October 31)
Assignment #9 (due November 14)

Assignment Grading Comments:
Assignment #1
Assignment #2
Assignment #3
Assignment #4 no comments
Assignment #5
Assignment #6
Assignments #7 no comments
Assignment #8

Software Command-File Downloads:
Assignment #1
Assignment #2
Assignment #3
Assignment #4
Assignment #5
Assignment #6
Assignment #7
Assignment #8
Assignment #9

Data Downloads:
TRT.OUT (data file without headers, for use with "Read" command, see Assignment #1 for data description)
TOBIT.DAT (see Assignment #2 or Assignment #9 for data description)
TOBIT-LL-13 (see Assignment #2a for data description)
LOGIT-A1.txt (see Assignment #3, #4, #5 and #6 for data description)
pavement-pds.txt (see Assignment #7 for data description)
Ex16-2.txt (see Assignment #8 for data description)

Term Project Downloads:
Class survey data file 2013 (361 observations)
Class survey key 2013
Class survey Summary Statistics 2013
Class survey data file 2011
Class survey key 2011
2011 Class survey Histograms 2011
Class survey command file 2011
Example for stacking data for Multinomial Logit
Class survey 2007
Class survey data file 2007
Class survey 2008
Class survey data file 2008
Class survey 2009
Class survey data file 2009
Term-project requirements (project due Friday December 13)

Other Supporting Material:
CE615 Website (Fall 2012)
Text website

Other Links:
Software manual
Seattle Traffic Map (assignment #2)
Chi square calculator
t-test calculator (one-tailed)
Normal distribution calculator for random parameter models
Dan McFadden interview

Some Selected Readings (Assignments 1-7):
Mannering, F., S. Abu-Eisheh, and A. Arnadottir (1990) Dynamic traffic equilibrium with discrete/continuous econometric models, Transportation Science 24(2), 105-116. [PDF]
Mannering, F. and M. Hamed (1990) Occurrence, frequency and duration of commuters' work-to-home departure delay, Transportation Research Part B 24(2), 99-109. [PDF]
Shafizadeh, K., Mannering, F., 2006. Statistical modeling of user perceptions of infrastructure condition: An application to the case of highway roughness. Journal of Transportation Engineering 132(2), 133-140.[PDF]

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