1,721,103 research outputs found
Do Women Shy Away From Competition? Do Men Compete Too Much?
Full text linkCompetitive high ranking positions are largely occupied by men, and women remain scarce in engineering and sciences. Explanations for these occupational differences focus on discrimination and preferences for work hours and field of study. We examine if absent these factors gender differences in occupations may still occur. Specifically we explore whether women and men, on a leveled playing field, differ in their selection into competitive environments. Men and women in a laboratory experiment perform a real task under a non-competitive piece rate and a competitive tournament scheme. Although there are no gender differences in performance under either compensation, there is a substantial gender difference when participants subsequently choose the scheme they want to apply to their next performance. Twice as many men as women choose the tournament over the piece rate. This gender gap in tournament entry is not explained by performance either before or after the entry decision. Furthermore, while men are more optimistic about their relative performance, differences in beliefs only explain a small share of the gap in tournament entry. In a final task we assess the impact of non-tournament-specific factors, such as risk and feedback aversion, on the gender difference in compensation choice. We conclude that even controlling for these general factors, there is a large residual gender gap in tournament entry.
How Costly is Diversity? Affirmative Action in Light of Gender Differences in Competitiveness
Full text linkRecent research documents that while men are eager to compete, women often shy away from competitive environments. A consequence is that few women enter and win competitions. Using experimental methods we examine how affirmative action affects competitive entry. We find that when women are guaranteed equal representation among winners, more women and fewer men enter competitions, and the response exceeds that predicted by changes in the probability of winning. An explanation for this response is that under affirmative action the probability of winning depends not only on one's rank relative to other group members, but also on one's rank within gender. Both beliefs on rank and attitudes towards competition change when moving to a more gender-specific competition. The changes in competitive entry have important implications when assessing the costs of affirmative action. Based on ex-ante tournament entry affirmative action is predicted to lower the performance requirement for women and thus result in reverse discrimination towards men. Interestingly this need not be the outcome when competitive entry is not payoff maximizing. The response in entry implies that it may not be necessary to lower the performance requirement for women to achieve a more diverse set of winners.
Prospect Theory or Skill Signaling?
Full text linkFailure is embarrassing. In gambles involving both skill and chance, we show that a strategic desire to avoid appearing unskilled generates behavioral anomalies that are typically explained by prospect theory’s concepts of loss aversion, probability weighting, and framing effects. Loss aversion arises because losing any gamble, even a friendly bet with little or no money at stake, reflects poorly on the decision maker’s skill. Probability weighting emerges because winning a gamble with a low probability of success is a strong signal of skill, while losing a gamble with a high probability of success is a strong signal of incompetence. Framing matters when there are multiple equilibria and the framing of a gamble affects beliefs, e.g., when someone takes a “dare” rather than admit a lack of skill. The analysis is based on models from the career concerns literature and is closely related to early social psychology models of risk taking. The results provide an alternative perspective on the existence of prospect theory behavior in economic, financial, and managerial decisions where both skill and chance are important. We identify specific situations where skill signaling makes opposite predictions than prospect theory, allowing for tests between the strategic and behavioral approaches to understanding risk.prospect theory, career concerns, probability weighting, loss aversion, framing effects, dare taking, embarrassment aversion
Money Talks? An Experimental Study of Rebate in Reputation System Design
Full text linkReputation systems that rely on feedback from traders are important institutions for helping sustain trust in markets, while feedback information is usually considered a public good. We apply both theoretical models and experiments to study how raters' feedback behavior responds to different reporting costs and how to improve market efficiency by introducing a pre-commitment device for sellers in reputation systems. In particular, the pre-commitment device we study here allows sellers to provide rebates to cover buyers' reporting costs before buyers make purchasing decisions. Using a buyer-seller trust game with a unilateral feedback scheme, we find that a buyer’s propensity to leave feedback is more sensitive to reporting costs when the seller cooperates than when the seller defects. The seller’s decision on whether to provide a rebate significantly affects the buyer’s decision to leave feedback by compensating for the feedback costs. More importantly, the rebate decision has a significant impact on the buyer's purchasing decision via signaling the seller's cooperative type. The experimental results show that the rebate mechanism improves the market efficiency.reputation, trust, feedback mechanism, asymmetric information, public goods, experimental economics
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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