ICE 2007 Supplemental Resources

ICE 2007 Home — ICE Home Page — Ken Judd’s Home Page

Supplemental Materials for Presentations

AMPL Code
Che-Lin Su

• GMCBusExample_QuadraticCost_1000pts_Data1.dat
• GMCBusExample_QuadraticCost_1000pts_Data20.dat
• GMCBusExampleMLE.mod
• GMCBusExampleMLEcommand.txt

Solvers and Tutorials
Sven Leyffer and Todd Munson, Argonne National Laboratory

• Solvers:
  • PATH (apologies; link is no longer available)
  • filter and MPEC (Windows)
  • filter and MPEC (Mac OS, GNU Fortran 77)
  • filter and MPEC (Mac OS, GNU Fortran)
• Tutorials
  • Optimization Tutorial I (no longer available)
  • Optimization Tutorial II (no longer available)
  • Optimization Tutorial III (no longer available)
• Tutorial Solutions (no longer available)

Bayesian Instruments via Dirichlet Process Priors
Peter E. Rossi, University of Chicago, Graduate School of Business

Code Fragments

• iv_with_DP_functions_new.R
• thetadraw.c

Conley, Tim; Chris Hansen, Rob McCulloch and Peter E. Rossi. (2007). “A Semi-Parametric Bayesian Approach to the Instrumental Variable Problem,” Unpublished manuscript, University of Chicago, Graduate School of Business.

Rossi,Peter E.; Greg Allenby, and Rob McCulloch. (2005). Bayesian Statistics and Marketing. New York: Wiley and Sons.

Learning-by-Doing, Organizational Forgetting and Industry Dynamics
Mark Satterthwaite, Kellogg School of Management, Northwestern University

Besanko, David; Ulrich Doraszelski, Yaroslav Kryukov and Mark Satterthwaite. (2007). “Learning-by-Doing, Organizational Forgetting and Industry Dynamics,” Unpublished manuscript, Kellogg School of Management, Northwestern University.

• Appendix