SITE WILL BE UPDATED FALL 2008 WITH NEW DATA, LECTURE NOTES, R and STATA CODE!

Welcome to the companion web page for the Cambridge University Press book Event History Modeling: A Guide for Social Scientists, by Janet M. Box-Steffensmeier and Bradford S. Jones. On this website, you will find access to some of the data sets, software code, and statistical output used in the book. Most applications were done using the software package Stata. I have updated some code for the R environment. Please note that because many of the examples are pedagogial, the code we present is used to convey the statistical form of some of the quantities in event history analysis. Put differently, there are different (and more efficient) ways to arrive at the results we present in the book. Additionally, this page will contain links to software sites as well as other links that we find useful for applied event history analysis.

I have also included some ancillary materials to the book, for example some lecture notes, including notes used at the Summer ICPSR Methodology Program. Students looking for these notes should scroll down this page.

Additional materials on duration modeling can be found at the website for my POL 290G seminar. The URL is: http://psfaculty.ucdavis.edu/bsjjones/pol290gw07.html.

Data and Software Files
Below, we have links to various Stata files (data sets, do files, log files, etc.) that correspond to some of the data sets used in the book. Click on the "log files" to read a description of what the relevant file contains. The links are categorized by the data set upon which they are based. Note that I've found some errors and am working to correct them.

Files for the U.N. Peacekeeping Data
"UNFINAL.dta": Stata 8 data file. This data set is used in ICPSR Application Tutorials 1 and 2. I use this data set to illustrate the Kaplan-Meier and Nelson-Aalen estimators. It is also used to illustrate some results from the exponential and Weibull distributions. This data set may be used to replicate all results found in the book referencing U.N. peacekeeping missions.

The next two files have code/output relevant for parametric models, Cox models, and Kaplan-Meier estimates.

Stata log file with KM, parametric, and Cox results using UN Data (Word Format)
Stata DO file for U.N. Peacekeeping Missions (Corresponding output found in log files listed above)


Files for restrictive abortion legislation data
"restrictiveadoption.dta": Stata 8 data file.: This data set is used in ICPSR Application Tutorial 2 (see below). In this tutorial, I illustrate various PH diagnostics for the Cox model. This data set can be used to replicate the results from the tutorial.

"adopt_singleevent.dta": Stata 8 data file.: This data set is used in ICPSR Application Tutorial 5 (see below). In this tutorial, I illustrate the Royston-Parmer model. Note that this data set along with the code in the tutorial will replicate all results from Chapter 6 of the book.



Files for the Cabinet Duration Data
"cabinet.dta": Stata 8 data file. This data set is used extensively in ICPSR Application Tutorials 2 and 3. In these tutorials, I illustrate both the Cox and parametric models as well as various Cox/parametric model diagnostics. This data set can be used to replicate all results in the book that make use of the cabinet duration data. Essentially all of the code necessary to do this can be found in the ICPSR Application Tutorials or in the files shown below. The code in the Tutorials is updated to Stata version 8.0.

Stata log file with parametric, and Cox results using Cabinet Data (Word Format)
Stata DO file for Cabinet Duration Data (Corresponding output found in log files listed above)
Stata log file with Cox Diagnostics (Word Format)
Stata DO file for Cabinet Duration Data (Corresponding output found in log files listed above)


Files for the Congressional Career Data
"career.dta": Stata 8 data file. This data set is used in ICPSR Application Tutorial 4. In this tutorial, I use this data set to illustrate various discrete-time models as well as illustrate different functional forms for time dependency. Please note that this data set must be used to replicate the results on congressional careers in Chapter 5 of the book.


Files for Obscenity Legislation Adoption
"obscenity.dta": Stata 8 data file. This data set is used in ICPSR Application Tutorials 6 and 7. I use frailty models on these data in this tutorial.


Miscellaneous Data Files
"icpsr_discrete1.dta": Stata 8 Data File. This is a simulated data set that is used in ICPSR Application Tutorial 3 (see below). In this tutorial, I use this data set to show the connection between the "exactp" approximation and the conditional logit link.


Materials for MLE2: Event History Analysis. ICPSR Summer Program

MLE 2 EHA Syllabus (2008)
MLE 2 EHA Syllabus (2005)

Application Tutorials
A Stylized Introduction to EHA
Tutorial 1: Kaplan-Meier/Nelson-Aalen
Tutorial 2: Parametrics
Tutorial 3: Cox Model
Tutorial 4: Discrete Models
Tutorial 5: Royston-Parmer Model
Tutorial 6: Frailty Models
Tutorial 7: Repeatable Events (Conditional Risk Set Model)
Tutorial 8: Competing Risks (and a little split pop.)

Supplemental Materials
Supplemental Slides for Parametric Models
Supplemental Slides for Cox Model
Supplemental Slides for Cox Residuals
Supplemental Slides for Discrete/Conditional Logit
Supplemental Slides for Model Selection and TVCs
Supplemental Slides for Frailty Models
Supplemental Slides for Competing Risks/Split Pop.


Problem Set 1 and Data
Problem Set 1
War Chest Data (Stata v. 8)
Interventions Data (Stata v. 8)


Problem Set 2 and Data

Problem Set 2
Interventions Data (Stata v. 8)
Spell-Split Interventions Data (Stata v. 8)


Links to Some Readings
Cleves' article on Repeatable Events


Lecture Notes for Presentation at University of Auckland, 31 May 2005
Extended Lecture Notes for Short Course
Overheads for Presentation
Overheads for Cabinet Duration Examples
Overheads for Some Technical Material



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