Using WRDS

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Wharton Research Data Services (WRDS) is a data research platform and business intelligence tool, which is used by over 30,000 corporate, academic, government and nonprofit clients in 32 countries. It offers data in fields such as Accounting, Banking, Economics, Finance, and Marketing.

HEC holds a subscription to the following databases, with many more available upon request. Each subscription is valid for a year.

  • Bank Regulatory
  • Blockholders
  • Bureau van Dijk
  • CBOE Indexes
  • COMPUSTAT
  • CRSP
  • CUSIP
  • DMEF Academic Data
  • Dow Jones
  • Eventus
  • FDIC
  • Fama French & Liquidity Factors
  • Federal Reserve Bank
  • GMI Ratings (Formerly CorpLib)
  • IBES
  • Markit (Trial)
  • PHLX
  • Penn World Tables
  • Risk Metrics
  • SEC Order Execution
  • TRACE
  • Thomson Reuters
  • Zacks (Trial)

Alongside access to this data, WRGS offers a variety of tools and programmes to facilitate and advance your searches, such as:

  • E-Learning

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  • Consumer Support and explanation

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  • Research assistance macros, guides, applications and data overviews

 

To access WRDS, a preliminary registration via the WRDS website is needed, which must then be validated by the library service.

Access to this platform is reserved for HEC Paris professors, PhD students, specialized masters, and masters of Science (M2 – Majors)

For more information, please contact the library.

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Evaluating the h-index

Stacy Konkiel of ImpactStory  has published an article entitled “Four great reasons to stop caring so much about the h-index”  questioning the reliability of the h-index in assessing a scholars prominence.

ImpactStory is an “open-source, web-based tool that helps researchers explore and share the diverse impacts of all their research products—from traditional ones like journal articles, to emerging products like blog posts, datasets, and software.” Their aim is to create a new recognition system for scholars based on data and web impact.

The h-index was developed by Jorge E. Hirsch, and is an index that attempts to measure the productivity and impact of scholars via their published works. The index is based on a scholars most cited papers and publications, and the number of citations that they have received in other academic publications from other scholars.hindex

So why, according to Konkiel, should we ‘stop caring so much’ about it?

Firstly, Konkiel likens comparison via an h-index as ‘comparing apples and oranges.’
The h-index does not consider the field of study of an author. This means that finding a ‘good’ h-index comparatively across domains is difficult, as an author in medicine for example may have a much higher index than an author in mathematics, not necessarily because they are a better scholar, but simply because medicinal works may be published or cited more. Yet the h-index does not take this into account.

Furthermore, the h-index does not differentiate according to age or career advancement. A younger scholar will most likely have published fewer papers than one further along their career path, yet this is not taken into account. Similarly, there is even the presence of more than one h-index per author, depending on the databases consulted.

Secondly, Konkiel highlights the ignorance of articles that aren’t ‘shaped like an article.’ H-index only accounts for academic articles; therefore blog posts, patents, software and even some books are omitted from the count, which the author notes, affects the h-index in fields such as chemistry.
The analysed sphere of influence is also limited to academic citations, therefore even if an article had great social implications or forced a change in policy, this is not taken into account.

The author goes on to question the validity of assessing an author by a single number. One figure is too closed an area to assess a scholars full prominence, with parallels drawn with the limited accuracy of journal impact factors. Whilst it may provide valid information in one area, the basis of quantity vs influence does not create a full picture of an author.

Finally, Konkiel goes as far as to suggest the h-index is ‘dumb’ when it comes to authorship, as it does not consider different weighting depending on whether a paper was written alone or collaboratively, or the position of an author in a collaboration.

In conclusion, the author details some of the attempted ‘fixes’ for the h-index, none of which have been widely implemented.

Therefore she suggests looking at alternatives, which base their rankings on a wider range of data, for example altmetrics.

You can find out more about altmetrics here

 

SSRN: How to select multiple e-journals

 

During the deposit process on SSRN and in addition to selecting the collection HEC Paris Research Paper Series, you can select one or more (up to 12) other e-Journals to increase your visibility. This approach puts your work in front of as many thematic pages on SSRN as possible, and sometimes on newsletters sent to subscribers (as is the case for the HEC Paris e-Journal collection).

How to select them?

Simply select the topics that interest you from the list provided under the e-Journal Classification field of the registration form. SSRN offers additional information for each e-Journal, that you can view by mousing over the selection.

Below is an example of a selection in Corporate Finance e-Journals

 

SSRN april article 2.1

 

 

 

SSRN: How to become visible in the HEC Paris Research Paper Series

To be ‘visible’ on the HEC Paris page of on SSRN is to gain visibility on SSRN, and also on search engines such as Google and Google Scholar. To do this, you need to select the collection on your deposit form when you submit a paper to SSRN.

Specifically, you must select the HEC Paris collection in the field labeled ‘e-journal classification’, which offers two ways to access HEC Paris:

– In the SEARCH box, type ‘HEC Paris’ and select your department.

OR

– Below, in the SEARCH field, tick ‘Management Research Network’ and then ‘MRN Business School Research Papers’ then ‘HEC’… then select your department.

Below are screenshots showing the two ways to find the collection:

SSRN april article 1.1

SSRN april article 1.2