Match!

The Reverse Matthew Effect: Consequences of Retraction in Scientific Teams

Published on Jul 1, 2019in The Review of Economics and Statistics
· DOI :10.1162/rest_a_00780
Ginger Zhe Jin23
Estimated H-index: 23
(UMD: University of Maryland, College Park),
Benjamin F. Jones21
Estimated H-index: 21
(NU: Northwestern University)
+ 1 AuthorsBrian Uzzi34
Estimated H-index: 34
Sources
Abstract
Teamwork pervades modern production, yet teamwork can make individual roles difficult to ascertain. The Matthew effect suggests that communities reward eminent team members for great outcomes at th...
  • References (23)
  • Citations (1)
📖 Papers frequently viewed together
2006
1 Citations
78% of Scinapse members use related papers. After signing in, all features are FREE.
References23
Newest
#1Pierre Azoulay (MIT: Massachusetts Institute of Technology)H-Index: 18
#2Alessandro Bonatti (MIT: Massachusetts Institute of Technology)H-Index: 8
Last. Joshua Lev Krieger (Harvard University)H-Index: 2
view all 3 authors...
We investigate how the scientific community's perception of a scientist's prior work changes when one of his articles is retracted. Relative to non-retracted control authors, faculty members who experience a retraction see the citation rate to their earlier, non-retracted articles drop by 10% on average, consistent with the Bayesian intuition that the market inferred their work was mediocre all along. We then investigate whether the eminence of the retracted author and the cause of the retractio...
18 CitationsSource
#1Ray Reagans (Columbia University)H-Index: 17
#2Ezra W. Zuckerman (MIT: Massachusetts Institute of Technology)H-Index: 21
Last. Bill McEvily (CMU: Carnegie Mellon University)H-Index: 23
view all 3 authors...
We compare two alternative approaches for evaluating the potential of a work group or team: one that focuses on team members' demographic characteristics and one that focuses on the members' social networks. Given that people's network contacts often share their demographic attributes (i.e., the network is homophilous), the two approaches seem equivalent and the first seems preferable because it is easier to implement. In this paper, we demonstrate several important limits to this rationale. Fir...
454 CitationsSource
#1Pierre Azoulay (NBER: National Bureau of Economic Research)H-Index: 18
#2Toby E. Stuart (University of California, Berkeley)H-Index: 34
Last. Yanbo Wang (BU: Boston University)H-Index: 8
view all 3 authors...
In a market context, a status effect occurs when actors are accorded differential recognition for their efforts depending on their location in a status ordering, holding constant the quality of these efforts. In practice, because it is very difficult to measure quality, this ceteris paribus proviso often precludes convincing empirical assessments of the magnitude of status effects. We address this problem by examining the impact of a major status-conferring prize that shifts actors' positions in...
94 CitationsSource
#1Susan Feng Lu (Purdue University)H-Index: 7
#2Ginger Zhe Jin (NBER: National Bureau of Economic Research)H-Index: 23
Last. Benjamin F. Jones (NBER: National Bureau of Economic Research)H-Index: 21
view all 4 authors...
Scientific articles are retracted at increasing rates, with the highest rates among top journals. Here we show that a single retraction triggers citation losses through an author’s prior body of work. Compared to closely-matched control papers, citations fall by an average of 6.9% per year for each prior publication. These chain reactions are sustained on authors’ papers (a) published up to a decade earlier and (b) connected within the authors’ own citation network by up to 4 degrees of separati...
53 CitationsSource
#1Nicola Lacetera (U of T: University of Toronto)H-Index: 37
#2Lorenzo Zirulia (UNIBO: University of Bologna)H-Index: 11
Scientific fraud is a pervasive phenomenon with deleterious consequences, as it leads to false scientific knowledge being published, therefore a¤ecting major individual and public decisions. In this paper we build a game-theoretic model of the research and publication process that ana- lyzes why scientists commit fraud and how fraud can be detected and prevented. In the model, authors are asymmetrically informed about the success of their projects, and can fraudulently manipulate their results. ...
57 CitationsSource
#1Jeffrey L. Furman (BU: Boston University)H-Index: 14
#2Scott Stern (MIT: Massachusetts Institute of Technology)H-Index: 39
While the cumulative nature of knowledge is recognized as central to economic growth, the microeconomic foundations of cumulativeness are less understood. This paper investigates the impact of a research-enhancing institution on cumulativeness, highlighting two effects. First, a selection effect may result in a high correlation between "high-quality" institutions and knowledge of high intrinsic quality. Second, an institution may have a marginal impact -- an incremental influence on cumulativene...
172 CitationsSource
#1Timothy Simcoe (BU: Boston University)H-Index: 17
#2Dave M. Waguespack (UMD: University of Maryland, College Park)H-Index: 1
How much are we influenced by an author's identity when evaluating his or her work? This paper exploits a natural experiment to measure the impact of status signals in the context of open standards development. For a period of time, e-mails announcing new submissions to the Internet Engineering Task Force would replace individual author names with “et al.” if submission volumes were unusually high. We measure the impact of status signals by comparing the effect of obscuring high-versus low-statu...
69 CitationsSource
#1Luis Almeida Costa (NOVA: Universidade Nova de Lisboa)H-Index: 7
#2Luis I Vasconcelos (NOVA: Universidade Nova de Lisboa)H-Index: 6
We use an adverse selection model to study the dynamics of firms' reputations when firms implement joint projects. We show that in the case of joint projects a firm's reputation does not necessarily increase following a success and does not necessarily decrease following a failure. We also study how reputation considerations affect firms' decisions to participate in joint projects. We show that a high-reputation partner is not necessarily preferable to a low-reputation partner and, when implemen...
8 CitationsSource
#1Benjamin F. Jones (NU: Northwestern University)H-Index: 21
This paper investigates, theoretically and empirically, a possibly fundamental aspect of technological progress. If knowledge accumulates as technology progresses, then successive generations of innovators may face an increasing educational burden. Innovators can compensate in their education by seeking narrower expertise, but narrowing expertise will reduce their individual capacities, with implications for the organization of innovative activity - a greater reliance on teamwork - and negative ...
366 CitationsSource
#1Luis Rayo (U of C: University of Chicago)H-Index: 9
This paper studies moral hazard in teams using a model where efforts are promoted via the combination of profit shares and relational contracts. The focus is on how these two forms of incentives interact. According to the degree of effort observability and the importance of future interaction, the optimal allocation of profit shares can range from a wide dispersion across players to a full concentration of shares in the hands of a single player. When shares are sufficiently concentrated, the cor...
62 CitationsSource
Cited By1
Newest
#1Yifang Ma (NU: Northwestern University)H-Index: 5
#1Yifang Ma (NU: Northwestern University)
Last. Brian Uzzi (NU: Northwestern University)H-Index: 34
view all 3 authors...
Einstein believed that mentors are especially influential in a protege’s intellectual development, yet the link between mentorship and protege success remains a mystery. We marshaled genealogical data on nearly 40,000 scientists who published 1,167,518 papers in biomedicine, chemistry, math, or physics between 1960 and 2017 to investigate the relationship between mentorship and protege achievement. In our data, we find groupings of mentors with similar records and reputations who attracted prote...
Source
Scientists and inventors increasingly work in teams, raising fundamental questions about the nature of team production and making individual assessment increasingly difficult. Here we present a method for describing individual and team citation impact that both is computationally feasible and can be applied in standard, wide-scale databases. We track individuals across collaboration networks to define an individual citation index and examine outcomes when each individual works alone or in teams....
Source