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Federico Belotti's niche on the web

Last week I had the pleasure to present at the young researcher workshop of the XII European Workshop on Efficiency and Productivity Analysis held in Verona.  It was a really extraordinary experience.  Overall, I was very impressed with the conference. I think that its level can be considered the highest among those in the field of efficiency and productivity, especially thanks to the "high level" list of participants and the variety of covered topics. I learned a lot of new things, in particular about DEA (Data Envelopment Analysis) approach, but also about advanced Stochastic Frontier modeling.

I presented one of my Ph.D. papers coauthored with Giuseppe entitled "Consistent estimation of the true fixed-effects stochastic frontier model". The thing that struck me was that the Professor Peter Schmidt presented a paper on the same topic. Do you guys want to know what was most amazing? We won the prize for the best YR paper!! We (Giuseppe and I) really want to thank the scientific committee for giving us the opportunity to present our work in this important Conference.

Award giving...

Thanks to Timothy Beatty write and send to Stata my do files is now a child's play.

I recommend to everyone TextMate (30 days free trial), a very powerful (at least for me!) text editor for Mac I found better than others like, for instance, TextWrangler or Jedit (the latter available also for Windows). Once TextMate is installed, you have to download and install the Timothy Beatty's bundle. After unzipping, click on the bundle file. You should see the following TextMate response

Then, all you need is:

  1. to make sure that your Stata flavor (Stata/MP, Stata/SE, Stata/IC or Small Stata) matches what's in the the two "command" entries of the bundle (in green): Send file to Stata and Send selection to Stata (if the bundle editor disappears or you closed it by mistake, open TextMate and follow Bundles –> Bundle Editor –> Show Bundle Editor –> Stata),
  2. Since the bundle's command Send Selection to Stata creates every time a new do file called textmatetostata.do in the working directory, you can insert your preferred path to save it wherever you want. To do this, simply edit the following two lines by inserting your preferred path to textmatetostata.do:

echo “$TM_SELECTED_TEXT” > textmatetostata.do

and

open POSIX file \”textmatetostata.do\”

For instance, my command's bundle is

... and that's it!!!

One of my PHD mates suggested me to read the entire number of the Journal of Economic Perspectives. This post just to thank Giuseppe and to recommend to everybody a very interesting reading. I was literally fascinated by the Prof. Edward E. Leamer article "Tantalus on the Road of Asymptopia", a really farsighted and entertaining paper, flawless from the econometric point of view. Just one of the funny parts:

... We have been taught that experimental randomization of the treatment eliminates the requirement to include additive controls in the equation because the correlation between the controls and the treatment is zero by design and regression estimates with or without the controls are unbiased, indeed identical. That’s true in Asymptopia, but it’s not true here in the Land of the Finite Sample where correlation is an everpresent fact of life and where issues of sensitivity of conclusions to assumptions can arise even with randomized treatments if the correlations between the randomized treatment and the additive confounders, by chance, are high enough...

The whole number can be downloaded for free by clicking here

A new Stata data management tool that can be used to examine the content of complex narrative-text variables to identify one or more user-defined keywords. The command is useful when dealing with string data contaminated with abbreviations, typos, or mistakes. A rich set of options allows a direct translation from the original narrative string to a user-defined standard coding scheme. Moreover, screening is flexible enough to facilitate the merging of information from different sources and to extract or reorganize the content of string variables. It was written together with my PhD colleague Domenico Depalo.

You may install the command by typing findit screening in your Stata command bar.
Click here to access the Stata Journal paper.

HTH,
Federico

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