Re: [datascience] Concentration of power at the editorial boards of economics journals


Cronologico Percorso di conversazione 
  • From: Alessandro Casini < >
  • To: , Gianluca Cubadda < >
  • Subject: Re: [datascience] Concentration of power at the editorial boards of economics journals
  • Date: Thu, 31 Mar 2022 18:38:03 +0200

Thank you for sharing. Nice article. There is, of course, concentration of power in our profession. In part, this is unavoidable.
Top journals are run by top department (QJE is edited by Harvard, JPE by UChicago, Econometrica a little bit all top-5 schools, etc.).
Top departments appoint their people as Editors. We cannot expect to be otherwise. This affects the review processes, and may generate some unfairness.
In particular, it is very difficult to publish in top-5 journals from authors who are not at the top schools (let alone solo-author papers; I am an exception here, but it was really hard-fought).
In the US and therefore in the whole profession, tenure and career depend on where we publish. The rank of the journals matters. Thus, concentration of power matters.  
The article seems to suggest that the profession would benefit from having Editorial boards with shorter fixed-term appointment.
In my view, it would change little. The names will change, but it will be always the same people.

So what to do? Well, as Gianluca noted in the email, the profession is self-adapting to this.
The fact that JEBS's impact factor crossed that of Ecma is a sign that people do not necessarily value more papers that end up in top-5 journals than those that do not.
So JEBS may get more attention than Ecma. So in the end, if a paper is good it will receive attention no matter where it is published. That's a good thing to have. It was true in the past and it will remain true in the future.

It should also be mention that theoretical-oriented papers receive, in general, less cites than empirical-oriented papers. JEBS publishes more empirical-oriented papers than Ecma.
However, this is not a justification for papers in Ecma that receive little cites. Even if they are theoretical, these papers should be of very general interest and so they are expected to get many cites. Often this does not happen.

My advisor coached me that having a paper in Ecma that gets little cites it is bad for the CV. It just backfires.
He coached me to submit to Ecma papers when I really think they have high potential impact. Else, avoid "just trying" to submit them to Ecma.

Personally, I follow research topics that I feel are important, no matter where they are published. Papers that I do not think are good, do not get my praise or my cites, even if they are in Ecma.
I think this is the best one can do to help the profession to go in the right direction.

Alessandro

On 3/27/2022 10:24 PM, Gianluca Cubadda wrote:
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Care/i,

il paper in allegato non è direttamente riconducibile alle tematiche rilevanti per questa chat ma ho pensato che possa comunque essere di interesse.

Le evidenze ivi riportate forse spiegano come recentemente Journal of Business and Economic Statistics abbia un impatto maggiore di Econometrica, o come Econometrics Journal, International Journal of Forecasting, Journal of Financial Econometrics e persino Economic Modelling abbiano un impatto maggiore di Journal of Applied Econometrics e Journal of Econometrics.

Cari saluti,

Gianluca

 

---

Gianluca Cubadda

Full Professor of Economic Statistics

Coordinator of the Master Big Data in Business (http://bigdata.uniroma2.it)

University of Rome "Tor Vergata"

Via Columbia 2, 00133 Rome - Italy

Tel. +39 06 7259 5847

WEB page: http://directory.uniroma2.it/index.php/chart/dettagliDocente/3916

 

-- 
Alessandro Casini (
 
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 )
Department of Economics and Finance 
University of Rome Tor Vergata
Via Columbia 2
00133 Rome, Italy
http://alessandro-casini.com



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