Stefan Hubner: News & Thoughts http://www.hubner.info/#news Here you can find my personal opinion about different political and economic issues. en Stefan Hubner Wed, 17 Jul 2019 08:23:41 +0000 Wed, 17 Jul 2019 08:23:41 +0000 Personal Opinion /nPlacement and Ph.D. Thesis http://www.hubner.info/#newsAs of September 1, I am a Postdoctoral Research Fellow at Oxford University in association with the Department of Economics and Nuffield College. <br /> <br />I will defend my Ph.D. Thesis in Tilburg on November 18, 2016 at 2pm. The members of my committee are Arthur van Soest, Pavel Cizek, Jaap Abbring, Laurens Cherchye and Frederic Vermeulen. The defense is open to the public. Wed, 28 Sep 2016 17:23:29 +0000 /nJob Market http://www.hubner.info/#newsI expect to finish my Ph.D. thesis in Summer 2016. Thus, I will be on the academic job market this year attending the AEA/ASSA annual meeting in San Francisco on January 3-5 as well as the annual meeting of the Spanish Economic Association in Girona on December 10-12 and the Ph.D. presentation meeting of the Royal Economic Society in London on January 8-9. <br /> <br />I am available for interviews at any of these sessions. Wed, 23 Sep 2015 09:31:24 +0000 /nETRICS package for Python3 http://www.hubner.info/#newsI recently started developing an Econometrics package written in Python which I published on Bitbucket. The idea of this project is, to roll out a scalable Econometrics class library for Python. This toolkit is supposed to provide both implementations for the most commonly used econometric models, and base classes and interfaces for new models and methods to be developed. The functionality will heavily rely on the Python libraries NumPy, SciPy, Matplotlib and statsmodels. <br /> <br />You can access the actual version at <a href="http://github.com/StefanHubner/etrics" target="_blank" >github.com/StefanHubner/etrics</a>. The code is released under the <a href="http://www.gnu.org/copyleft/gpl.html">Gnu Public License</a>, meaning that everyone is welcome to use it, fork it and submit changes or even implement new methods. So far, the package contains a simulation class, both linear and non-parametric (local polynomial) quantile regression estimation routines, and a generic class for Systems of equations. <br /> <br />I composed a small <a href="http://nbviewer.ipython.org/github/stefanhubner/stefanhubner.github.io/blob/master/ipynb/Etrics_package.ipynb" target="_blank">Ipython notebook</a> showing how the Python Etrics package can be used. Sun, 25 Nov 2012 20:12:07 +0000