Psychologists and behavioral economists have documented numerous deviations from the rational expectations model of forecasting that is a common assumption of neoclassical economics. In response, it has been claimed that, while such biases may exist for individuals, firms that exhibit (costly) biases ...
Powerful Women: Does Exposure Reduce Bias? 来自 万方 喜欢 0 阅读量: 157 作者:LA Beaman,R Chattopadhyay,E Duflo,R Pande,PB Topalova 摘要: We exploit random assignment of gender quotas across Indian village councils to investigate whether having a female chief councillor affects public opinion ...
I thus expect that anonymizing authors to editors would improve the quality of editorial decisions and reduce editorial biases. However, we never deemed it practical to adopt triple-anonymous review since someone in the reviewer-selection process needs to know who the authors are to avoid conflict...
Does graph disclosure bias reduce the cost of equity\\ud\ncapital? FED Bisnis 被引量: 0发表: 2009年 The Role of Information Precision in Determining the Cost of Equity Capital We examine the association between the cost of equity capital and the quality of public and private information. We...
This continuous variable measures the intensity of Airbnb listings in each township; Xijt is a vector of explanatory variables associated with property attributes (see Tables 2 and 3); vj, uty and utm are township, year, and month fixed effects, respectively; ɛijt is the random error; ...
Missing completely at random; RMSEA: Root mean square error of approximation; SEM: Structural equation modelling; SRMR: Standardised root mean square residual; SSI: Stereopsis Screening Inventory; TLI: Tucker-Lewis Index Funding This work was supported by the Economic and Social Research Council [gran...
can essentially reduce the efficiency. However, exactly including all related covariates is unrealistic in practice when we do not have clear idea to the outcome models, and so it can even be risky to conduct covariate adjustments in this case. These findings on the estimation bias conveys an ...
before it can be used to find the parameters of your model. Your data might need to be converted from string values to a numerical representation. You might have redundant information in your input data. You might need to reduce or expand the dimensions of your input data. Your data might...
This article explores the relationship between implicit (unconscious) color bias and giving by answering the research question: How does a donor's implicit color biases affect giving to beneficiaries living in developing countries? The study draws from a fundraising survey consisting of 750 participants...
To prevent the introduction of bias from re-sampling subjects, respondents can only be sampled once in RDS, and as such the assumption of sampling with-replacement is never met with RDS. But when the target population is large enough by comparison to the sample size, known as sample fraction...