base_pub

This data reports the publication output (number of articles and number of citations received)
for a few scientists from the start of their career to 2000.
Most of the variables are processed from the Microsoft Academic Graph (MAG) data set. A few variables are randomly generated.

datasets

Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), instrumental variables (IV), generalized linear models (GLM), maximum likelihood estimation (ML), and the negative binomial.
The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Bergé, Butts, McDermott (2026) <doi:10.48550/arXiv.2601.21749>.
Further provides tools to export and view the results of several estimations with intuitive design to change the standard-errors.

Laurent Berge

fixest

Fast Fixed-Effects Estimations

Sebastian Krantz

Grant McDermott

Russell Lenth

Kyle Butts

base_pub function

<code>base_pub</code> is a data frame with 4,024 observations and 10 variables. There are 200 different scientists and 51 different years (ends in 2000).<ul>
<li><code>author_id</code>: scientist identifier</li>
<li><code>year</code>: current year</li>
<li><code>affil_id</code>: affiliation ID of the scientist's current affiliation</li>
<li><code>affil_name</code>: affiliation name of the scientist's current affiliation (character)</li>
<li><code>field</code>: field name of the scientist (character), time invariant</li>
<li><code>nb_pub</code>: number of publications of the scientist for the current year</li>
<li><code>nb_cites</code>: number of citations received by the publications of the scientist in the current year. Accounts for the citations received from articles published up to 2020.</li>
<li><code>birth_year</code>: birth year of the scientist (this is randomly generated)</li>
<li><code>is_woman</code>: 1 if the scientist is a woman, 0 otherwise (this is randomly generated)</li>
<li><code>age</code>: current age of the scientist (formally <code>year - birth_year</code>)</li>
</ul>

Format

Publication data sample — base_pub

Publication data sample

base_pub: Publication data sample

Description

Usage

Arguments

Format