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ReseaRch Quality assuRance foR the futuRe a ... - Lund University

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Panel 7 – ECONOMICS AND MANAGEMENT (LUSEM)<br />

7. Department of Statistics<br />

7.1 Unit description<br />

This is a very small unit (on average 2 professors, an academic staff<br />

total of 3 persons) also involved in teaching, and with a modest Ph.D.<br />

production (1 exam in last 5 years). The age structure is ra<strong>the</strong>r high, and<br />

<strong>the</strong> proportion of external research funding in relation to <strong>the</strong> funding for<br />

basic education is modest.<br />

7.2 Research infrastructure<br />

The small size of <strong>the</strong> department prevents <strong>the</strong> formation of research<br />

groups. Each professor tries to cover a few fields. Overall, <strong>the</strong> department<br />

tries to cover a ra<strong>the</strong>r large field in statistics, related e.g. both to biostatistics,<br />

medical diagnostics, economic history, political sciences, economics,<br />

and stochastic finance. Besides (or related to) its small size, <strong>the</strong> department<br />

is burdened by a heavy teaching load, and seems to get much less financing<br />

per student than o<strong>the</strong>r departments in Sweden get (o<strong>the</strong>rs get 50% to 80%<br />

more). The department also has problems in providing external funding<br />

for Ph.D. students due to <strong>the</strong> abstract nature of <strong>the</strong> subject.<br />

7.3 Research<br />

<strong>Quality</strong>: The research is mainly published in good but not in top field<br />

journals, mostly within o<strong>the</strong>r fields than mainstream statistics (only 6 of<br />

36 publications in <strong>the</strong> publication list are mainly in “statistical” journals).<br />

This is of course in line with <strong>the</strong> nature of <strong>the</strong> subject, statistics being an<br />

important supporting science for a variety of fields, and it is also a sign of<br />

good cross-disciplinary contacts. However, good ability to reach good statistical<br />

journals would also be expected from a very strong research unit<br />

in statistics. The unit has had some earlier very good success (e.g. Annals<br />

of Probability earlier, and a paper in <strong>the</strong> top-journal JASA in 2001).<br />

Productivity: Taking its small size into consideration, <strong>the</strong> unit has been<br />

quite productive, with <strong>the</strong> highest number of refereed journal articles<br />

per academic staff member among <strong>the</strong> units evaluated by this panel (15<br />

refereed journal articles per staff member during 5 years i.e. on average<br />

3 per academic staff and year). Most of <strong>the</strong> unit’s research is published in<br />

refereed journals. The publication activity seems to be well distributed<br />

among <strong>the</strong> staff members, and <strong>the</strong> time trend is stable.<br />

209

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