The National Centre for Econometric Research (NCER) will hold a short course on Recent Developments in Program Evaluation at QUT, on Tuesday 20 August, 2013 from 9am to 1pm.

Everyone is welcome to attend and there is no charge for attendance.

All participants are required to contact the NCER Administration Coordinator for registration.

The course will be held in Z808 at Gardens Point Campus, QUT.

Course Convener

Professor Daniel L. Millimet, Professor of Economics at SMU

Daniel L. Millimet is a Professor of Economics at Southern Methodist University. He has been a Research Fellow at the Institute for the Study of Labor (IZA) since 2008.  He has been a senior co-editor of Advances in Econometrics since 2012 and an associate editor at Empirical Economics since 2008.
Professor Millimet completed his undergraduate studies at the University of Michigan in 1994, earning his BA in economics (highest distinction). He received his PhD in Economics from Brown University of Chicago in 1999.
Professor Millimet teaches undergraduate courses in Labor Economics and Economics of Education and Ph.D. courses in labor economics and econometrics. He has conducted research on a broad range of empirical issues, but he has particular expertise in the areas of health and education of children, environmental economics, and microeconometrics. His research has been published in many journals including the Review of Economics and Statistics, Journal of Econometrics, Journal of Applied Econometrics, Journal of Business and Economic Statistics Journal of Human Resources, International Economic Review, and Economic Journal. Professor Millimet’s papers have been awarded the Outstanding Author Contribution Award by the Emerald Literi Network, the AEJ Best Article Award by the International Atlantic Economic Society, and the Kenneth J. Arrow Prize for Senior Economists by Berkeley Electronic Press.

Course Summary

The lecture will begin by discussing the potential outcomes framework as a basis for program evaluation. Using this framework as a guide, the lecture will provide a brief introduction to several estimation methods that invoke the so-called selection on observed variables assumption, including OLS, matching, weighting, and regression discontinuity.  The lecture will conclude with a short introduction to estimation methods that do not require selection on observed variables only, including partial identification approaches and instrumental variables.

Course Times

9am to 1pm

Course Slides

PDF Slides

Enquiries & Registration

For registration please contact the NCER Administration Coordinator:

Angela Fletcher
Queensland University of Technology
Email: a.fletcher@qut.edu.au
Phone: 07 3138 1050