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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

This is a simple Mata function written together with my PhD colleague Silvio Daidone. It perform the running product of a vector. DOWNLOAD

HTH,

Federico

This is a simple Mata function written together with my PhD mate Giuseppe Ilardi. It is exactly the Mata equivalent of the R function rtnorm() allowing random generation for the truncated Normal distribution with mean equal to m and standard deviation equal to s (before truncation), and truncated on the interval [lower, upper]. DOWNLOAD

HTH,

Federico

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