Academic honors and performance

Chan, Ho Fai; Frey, Bruno S.; Gallus, Jana; Torgler, Benno

doi:10.1016/j.labeco.2014.05.005

Cited by 105 publications

(68 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…( Twelve-month salaries of " low-level" administrators were typically de-annualized for estimation, and " higher-level" administrators were typically excluded.) Thus, outside professional income-e.g., from research grants, consulting, or book royalties-is not included (although Chan et al 2014b, show that in academe, generally the more heavily cited receive higher nonacademic earnings). To the extent that those who are more heavily cited obtain more than proportionate additional income from these sources, which seems likely, the estimated impacts of citations on salaries may understate their impacts on total professional income.…”

Section: Salariesmentioning

confidence: 99%

Citations In Economics: Measurement, Uses, and Impacts

Hamermesh

2018

Journal of Economic Literature

146

View full text Add to dashboard Cite

I describe and compare sources of data on citations in economics and the statistics derived from them. Constructing data sets of the post-publication citation histories of articles published in the “top five” journals in the 1970s and 2000s, I examine distributions and life cycles of citations, compare citation histories of articles in different subspecialties in economics, and present evidence on the history and heterogeneity of those journals' impacts and the marginal citation productivity of additional coauthors. I use a new data set of the lifetime citation histories of over 1,000 economists from thirty universities to rank economics departments by various measures and demonstrate the importance of intra- and interdepartmental heterogeneity in productivity. Throughout, the discussion summarizes earlier work, including the impacts of citations on salaries and nonmonetary rewards, and how citations reflect judgments about research quality in economics and the importance of economic ideas. (JEL A14, I23)

show abstract

Section: Salariesmentioning

confidence: 99%

Citations In Economics: Measurement, Uses, and Impacts

Hamermesh

2018

Journal of Economic Literature

146

View full text Add to dashboard Cite

show abstract

“…Fourth, in many instances publications, researchers, or institutions under investigation are not a random sample of the whole population of publications but highly selective. This particularly holds for studies on the causal effects of certain events, such as academic honors (e.g., Azoulay, Stuart, & Wang, ; Chan, Frey, Gallus, & Torgler, ) or scientific scandals (e.g., Azoulay, Furman, Krieger, & Murray, ; Lu, Jin, Uzzi, & Jones, ), on citation impact. Hence, a simple comparison of average citations received by Nobel Papers with citations of average papers in a field would be “naïve” (Morgan & Winship, , p. 44) as it assumes the absence of nonrandom selection into treatment (for a general discussion, see Imai, King, & Stuart, ).…”

Section: Introductionmentioning

confidence: 99%

Matched control groups for modeling events in citation data: An illustration of nobel prize effects in citation networks

Farys

Wolbring

2017

Asso for Info Science & Tech

View full text Add to dashboard Cite

Bibliometric data are frequently used to study the effects of events, such as the honoring of a scholar with an award, and to investigate changes of citation impact over time. However, the number of yearly citations depends upon time for multiple reasons: a) general time trends in citation data, b) changing coverage of databases, c) individual citation life-cycles, and d) selection on citation impact. Hence, it is often ill-advised to simply compare the average number of citations before and after an event to estimate its causal effect. Using a recent publication in this journal on the potential citation chain reaction of a Nobel Prize, we demonstrate that a simple pre-post comparison can lead to biased and misleading results. We propose using matched control groups to improve causal inference and illustrate that the inclusion of a tailor-made synthetic control group in the statistical analysis helps to avoid methodological artifacts. Our results suggest that there is neither a Nobel Prize effect as regards citation impact of the Nobel laureate under investigation nor a related chain reaction in the citation network, as suggested in the original study. Finally, we explain that these methodological recommendations extend far beyond the study of Nobel Prize effects in citation data.

show abstract

“…Most studies use a donor pool from other countries (Castañeda and Vargas, 2012;Billmeier and Nannicini, 2013;Abadie et al, 2015;Karlsson and Pichler, 2015;Smith, 2015), other regions within the same country (Abadie and Gardezabal, 2003;Abadie et al, 2010;Leight, 2010;Bohn et al, 2011Bohn et al, , 2015Coffman and Noy, 2011;Bassok et al, 2012;Dorsett, 2013;Hankins, 2014;Ando, 2015;Dietrichtson and Ellegard, 2015;Munasib and Rickman, 2015), or other districts within a region (Bauhoff, 2014). One study uses a donor pool consisting of other persons (Chan et al, 2015). However, as far as we know, other industries within the same country have never been used.…”

Section: Identification Data and Limitationsmentioning

confidence: 99%

Impact of VAT Reform on Swedish Restaurants: A Synthetic Control Group Approach*

Falkenhall

Månsson

Tano

2019

Scandinavian J Economics

View full text Add to dashboard Cite

In this paper, we investigate the impact on firms of the value added tax (VAT) reform that took effect in Sweden on 1 January 2012 for restaurant and catering services. Unlike previous research, we use a synthetic control group approach to construct our counterfactual. Our analysis shows that the VAT reduction had a positive effect on turnover, total wages, employment, profit margins, and net entry of firms. The effects of the reform tend to decrease over time. In all, the results point to an overall better performance for the restaurant industry compared with what it would have been in absence of the reform.

show abstract

Academic honors and performance

Cited by 105 publications

References 52 publications

Citations In Economics: Measurement, Uses, and Impacts

Citations In Economics: Measurement, Uses, and Impacts

Matched control groups for modeling events in citation data: An illustration of nobel prize effects in citation networks

Impact of VAT Reform on Swedish Restaurants: A Synthetic Control Group Approach*

Contact Info

Product

Resources

About