Do Women Respond Less to Performance Pay? Building Evidence from Multiple Experiments

Bandiera, Oriana; Fischer, Gregory; Prat, Andrea; Ytsma, Erina

doi:10.1257/aeri.20200466

Cited by 31 publications

(35 citation statements)

References 74 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus even respondents who believe that men and women are fairly similar on other traits—a belief in line with the meta‐analyses of Bandiera et al . (2021) and Rao (2020)—believe that they differ in overconfidence. The next section will show how findings from the experimental literature compare to economists’ beliefs about gender differences in overconfidence.…”

Section: Experts’ Surveymentioning

confidence: 99%

See 1 more Smart Citation

Men are from Mars, and Women Too: A Bayesian Meta‐analysis of Overconfidence Experiments

et al. 2022

Self Cite

View full text Add to dashboard Cite

Gender differences in self-confidence could explain women's under-representation in high-income occupations and glass-ceiling effects. We draw lessons from the economic literature via a survey of experts and a Bayesian hierarchical model that aggregates experimental findings over the last 20 years. The experts' survey indicates beliefs that men are overconfident and women underconfident. Yet the literature reveals that both men and women are typically overconfident. Moreover, the model cannot reject the hypothesis that gender differences in self-confidence are equal to zero. In addition, the estimated pooling factor is low, implying that each study contains little information over a common phenomenon. The discordance can be reconciled if the experts overestimate the pooling factor or have priors that are biased and precise.

show abstract

Section: Experts’ Surveymentioning

confidence: 99%

“…This is in line with the findings of BHM estimates of gender gaps in altruism (Rao 2020) and response to incentives (Bandiera et al . 2021). In contrast to these studies, however, the pooling factor is low and the relatively large posterior variance implies that each individual study is poorly informative about a common phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Men are from Mars, and Women Too: A Bayesian Meta‐analysis of Overconfidence Experiments

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Meta-analysis for research synthesis has been actively studied in statistics and the resulting literature is vast; see, e.g., Borenstein, Hedges, Higgins, and Rothstein (2009) for a textbook and Cooper et al (2019) for a handbook volume. In economics, existing applications of meta-analysis and meta-regression include Card and Krueger (1995), Dehejia (2003), Bandiera, Fischer, Prat, and Ytsma (2017), Card et al (2017), Meager (2019Meager ( , 2020, Imai, Rutter, andCamerer (2020), andVivalt (2020). See Stanley (2001) for a review.…”

Section: Related Literaturementioning

confidence: 99%

Evidence Aggregation for Treatment Choice

Ishihara,

Kitagawa

2021

Preprint

View full text Add to dashboard Cite

Consider a planner who has to decide whether or not to introduce a new policy to a certain local population. The planner has only limited knowledge of the policy's causal impact on this population due to a lack of data but does have access to the publicized results of intervention studies performed for similar policies on different populations. How should the planner make use of and aggregate this existing evidence to make her policy decision? Building upon the paradigm of 'patient-centered meta-analysis' proposed by Manski (2020; Towards Credible Patient-Centered Meta-Analysis, Epidemiology), we formulate the planner's problem as a statistical decision problem with a social welfare objective pertaining to the local population, and solve for an optimal aggregation rule under the minimax-regret criterion. We investigate the analytical properties, computational feasibility, and welfare regret performance of this rule. We also compare the minimax regret decision rule with plug-in decision rules based upon a hierarchical Bayes meta-regression or stylized mean-squared-error optimal prediction. We apply the minimax regret decision rule to two settings: whether to enact an active labor market policy given evidence from 14 randomized control trial studies; and whether to approve a drug (Remdesivir) for COVID-19 treatment using a meta-database of clinical trials.

show abstract

“…The potential usefulness of this approach is particularly marked in the area of programme evaluation, where causal programme effects often suffer from limited external validity (Olsen et al, 2013;Alcott, 2015;Athey and Imbens, 2017). MRA can help generalise beyond "local" inferences (Bandiera et al, 2016;Vivalt, 2020) and understand to which extent, and in which situations, enterprise and innovation policies are effective according to the estimates reported in counterfactual evaluations.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Public Support to the Investment Activities of Business Firms: A Multilevel Meta-Regression Analysis of Italian Studies

2021

View full text Add to dashboard Cite

We conduct an extensive meta-regression analysis of counterfactual programme evaluations from Italy, considering both published and grey literature on enterprise and innovation policies. We specify a multilevel model for the probability of finding positive effect estimates, also assessing correlation possibly induced by co-authorship networks. We find that the probability of positive effects is considerable, especially for weaker firms and outcomes that are directly targeted by public programmes. However, these policies are less likely to trigger change in the long run.

show abstract

Do Women Respond Less to Performance Pay? Building Evidence from Multiple Experiments

Cited by 31 publications

References 74 publications

Men are from Mars, and Women Too: A Bayesian Meta‐analysis of Overconfidence Experiments

Men are from Mars, and Women Too: A Bayesian Meta‐analysis of Overconfidence Experiments

Evidence Aggregation for Treatment Choice

Evaluating Public Support to the Investment Activities of Business Firms: A Multilevel Meta-Regression Analysis of Italian Studies

Contact Info

Product

Resources

About