Economy Stats
The economic statistics cited by Patricia Cohen are meant to put a positive spin on an otherwise doubly-seasonally adjusted economy still limping under the Federal Reserve's guidance and policy of quantitative easing. Cohen calls it "strong job growth data," but there are scores of other stats that researchers use to indicate just the opposite, such as the correlative study of Labor Force Participation Rate and People not in the Labor Force by Durden (2015). Cohen's study is meant to put a good face on an otherwise grim economic outlook, and this paper will show how she does it.
Statistical Procedures Mentioned in the Study
There are no statistical procedures clearly delineated in the study by Cohen; however, it is evident that Cohen uses a number of procedures in order to present her findings. For example, Cohen uses correlations and ANOVA statistical analysis in order to arrive at her conclusion that, indeed, the economy is looking stronger. One correlation study that she uses is the relationship between higher wages being offered and an increase in jobs by 280,000 for May 2015. Cohen argues that the increase in wages may be what has led more people into the workplace: "Hourly wages…rose 0.3% last month, possibly helping to lure back some discouraged workers who had been staying on the sidelines" (Cohen, 2015). The argument is a dubious one that is based on nothing other than a supposed correlation and an apparent desire to see something positive in the latest round of economic data. Cohen ignores other possible correlation studies and even accepts the data generated by the Bureau of Labor Statistics (BLS) as authentic without questioning them or authenticating them on her own. This level of research is unacceptable for a serious level of analysis and therefore throws suspicion...
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