The Econometrics Journal
Current Issue
EDITORIAL
- Author: Oliver Linton, Richard J. Smith
- Journal Issue: Volume 15 Issue 1 (February 2012)
- Published Online on 16 February 2012
Incorporating covariates in the measurement of welfare and inequality: methods and applications
- Author: Stephen G. Donald, Yu‐Chin Hsu, Garry F. Barrett
- Journal Issue: Volume 15 Issue 1 (February 2012)
- Published Online on 16 February 2012
Statistical inference in the presence of heavy tails
- Author: Russell Davidson
- Journal Issue: Volume 15 Issue 1 (February 2012)
- Published Online on 16 February 2012
Accepted Articles
Identification of treatment response with social interactions
- Author: Charles F. Manski
- Accepted manuscript online: 04 April 2012
Set inference in latent variables models
- Author: Ismael Mourifié, Marc Henry
- Accepted manuscript online: 27 March 2012
Editiorial Board
Managing Editor
Richard J. Smith, University of Cambridge
Co-Editors
Jaap Abbring, Tilburg University
Jianqing Fan, Princeton University
Oliver Linton, University of Cambridge
Pierre Perron, Boston University
News
Econometrics of Forecasting Special Session, RES 2012 Annual Conference, Cambridge
- Published Date: 16 April 2012
A video featuring presentations by Raffaella Giacomini (UCL) entitled “Economic Theory and Forecasting" and Siem Jan Koopman (Free University... Read more
Econometrics of Inequality
The study of social welfare and income inequality is one of enduring importance in economics and the wider social sciences. Defining and measuring these concepts has been a concern of many prominent economists for over a century.
The Econometrics Journal organized a Special Session on Econometrics of Inequality at the RES Annual Conference 2010 which was held at the University of Surrey. Papers were presented by Stephen Donald (University of Texas at Austin) and Russell Davidson (McGill University). Christian Schluter (Southampton University) was the discussant.
Read more about The Econometrics Journal Special Issue on Econometrics of Inequality.
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