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Measuring research excellence amongst economics lecturers in the UK
Author(s) -
McManus Richard,
Mumford Karen,
Sechel Cristina
Publication year - 2022
Publication title -
bulletin of economic research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.227
H-Index - 29
eISSN - 1467-8586
pISSN - 0307-3378
DOI - 10.1111/boer.12299
Subject(s) - excellence , selection (genetic algorithm) , variance (accounting) , quality (philosophy) , economics , actuarial science , process (computing) , econometrics , marketing , accounting , computer science , political science , business , epistemology , artificial intelligence , law , operating system , philosophy
Using a rich new data source, we explore the selection of economics lecturers into the last UK Research Excellence Framework (REF) exercise. Only some one‐in‐two (54%) of these lecturers were submitted to REF2014; 57% of men and 46% of women. The decision making of institutions is found to be well approximated by a simplified selection approach; focusing on working papers and higher quality journal publications. Our results also reveal sizeable conditional differences in the probability of selection, especially so in departments with higher research rankings. More than half of the variance in selection probability remains unexplained, revealing considerable idiosyncrasies in the management of submissions and uncertainty across the discipline in this research assessment process.