Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Macroeconomic Patterns and Stories, PDF eBook

Macroeconomic Patterns and Stories PDF

PDF

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

The story of this book began with my dif?cult transition from teaching international economics and econometrics in Economics Ph.

D. programs at Harvard and UCLA to teaching in the MBA programs at the Anderson School at UCLA.

On the basis of 20 years of apparent teaching success in Ph.

D. education, I arrived at the Anderson School in 1990 with a self-image as a star teacher, but I was greeted with highly disturbingmediocreteachingevaluations.

Facedwithadatasetthatwasinconsistent with my view of reality, I did what analysts usually do - I formulated a theory why the data were misleading.

Here is how I thought about it. Two aspects of the course - content and amu- ment - drive numerical course evaluations.

If you rank courses by the average of the content score and the amusement score, then the component that can be measured most accurately will determine the ranking.

Do you understand why? It is what - eraging does: it eliminates the noise. Suppose, for example, that a student cannot tell anything about the content, and the content score is simply a random number, varying from student to student.

Those random numbers will average out across students to about the same number for each course.

As the average course content score is about the same for every course, it is the amusement score that will drive the rankings.

Information

Other Formats

Information