We also mention selection bias, which may be of concern in some countries where rapid diagnostic testing is frequently used in routine clinical practices, as in Japan.
Once an opinion is formed, new information obtained during a trial is likely to be processed according to the confirmation bias, which may lead to unjust verdicts.
However, as mentioned above, many of these studies had major sources of bias, which may have affected their results.
Nevertheless, one might be concerned that excluding advanced degrees leads to missing variables bias, which may cause greater concern than the endogeneity.
Here, we take into account another type of selection bias which may arise from the dual formal-informal nature of the Mexican labour market.
The family fixed-effects approach is well suited to avoid some of the sources of bias which may arise from the PYSM being correlated with the error term.
However, the assumption is made that the computation of cluster-robust standard errors is without bias, which may be incorrect (e.g. Thompson 2011).
Status quo bias, which may be caused by loss aversion, could also increase people's tendency to regret the cancellation of the Smiley scheme.
Finally, systematic reviews are subject to publication bias, which may exaggerate the conclusion of the study if publication is related to the strengths of the results.
However, survey results may be skewed against the company by the Social Desirability bias, which may encourage kids to say they use the decade-old Facebook less than they actually do to sound cool.
And I think it also accounts for a lot of the appeal of explanations based in implicit bias, which may seem to exculpate.
