Last Week's Reading

There are some great econometrics papers out there, just waiting to be read. I need more hours in the day!

Some of the papers I enjoyed reading last week were:

• Barsoum, F. and S. Stankiewicz, 2013. Forecasting GDP growth using mixed-frequency models with switching regimes. Department of Economics, University of Konstanz, Working Paper 2013-10.
• Castle, J. L., M. P. Clements, and D. F. Hendry, 2013. Forecasting by factors, by variables, by both or neither? Journal of Econometrics, in press.
• Chiu, C. W., B. Eraker, A. T. Foerster, T. B. Kim, and H. D. Seoane, 2012. Estimating VAR's sampled at mixed or irregular spaced frequencies: A Bayesian approach. Federal Reserve Bank of Kansas City, Research Working Paper 11-11 (revised, December 2012).
• Dufour, J-M. and J. Wilde, 2013. Weak identification in probit models with endogenous covariates.
• Lim, H. K., J. Song, and B. C. Jung, 2013. Score tests for zero-inflation and overdispersion in two-level count data. Computational Statistics and Data Analysis, 61, 67-82.
• Millimet, D. L. and I. K. McDonough, 2013. Dynamic panel data models with irregular spacing: With applications to early childhood development. IZA Discussion Paper 7359.
• Pesaran, H. H., A. Pick, and M. Pranovich, 2013. Optimal forecasts in the presence of structural breaks. Journal of Econometrics, in press.

© 2013, David E. Giles

Vintage Years in Econometrics - The 1930's

We all know that when it comes to wine-making, some years yield better wine than others. If you like to sip a little wine while looking at pictures, then The Wine Advocate's "Vintage Chart" may appeal to you. (It's just a pity that they don't acknowledge the fact that there's more than one wine-producing region in New Zealand!)

That got me thinking about vintage years for econometrics. Funny how the mind works, sometimes, isn't it?

So, this post is for you budding students of econometrics. Our future lies with you, but it's not a bad thing to know something about our past!