A "better" ROI doesn't necessarily mean a positive ROI.
Getting negative 10% return on a $1,000 investment doesn't matter as much as getting a negative 10% return on a $100,000 investment.
A "better" ROI doesn't necessarily mean a positive ROI.
Getting negative 10% return on a $1,000 investment doesn't matter as much as getting a negative 10% return on a $100,000 investment.
Return on Investment: https://en.wikipedia.org/wiki/Return_on_investment
From https://en.wikipedia.org/wiki/Vector_(mathematics_and_physic... :
> A Euclidean vector is thus an equivalence class of directed segments with the same magnitude (e.g., the length of the line segment (A, B)) and same direction (e.g., the direction from A to B).[3] In physics, Euclidean vectors are used to represent physical quantities that have both magnitude and direction, but are not located at a specific place, in contrast to scalars, which have no direction.[4] For example, velocity, forces and acceleration are represented by vectors
Quantitatively and Qualitatively quantify the direct and external benefits of {college, other alternatives} with criteria in additional to real monetary ROI?
From https://en.wikipedia.org/wiki/Welfare_economics
> Welfare economics also provides the theoretical foundations for particular instruments of public economics, including cost–benefit analysis,
>> Why would people make an investment with insufficient ROI (Return on Investment)?
> Insufficient information.
> College Scorecard [1] is a database with a web interface for finding and comparing schools according to a number of objective criteria. CollegeScorecard launched in 2015. It lists "Average Annual Cost", "Graduation Rate", and "Salary After Attending" on the search results pages. When you review a detail page for an institution, there are many additional statistics; things like: "Typical Total Debt After Graduation" and "Typical Monthly Loan Payment".
> The raw data behind CollegeScorecard can be downloaded from [2]. The "data_dictionary" tab of the "Data Dictionary" spreadsheet describes the data schema.
> [1] https://collegescorecard.ed.gov/
> [2] https://collegescorecard.ed.gov/data/
> Khan Academy > "College, careers, and more" [3] may be a helpful supplement for funding a full-time college admissions counselor in a secondary education institution
> [3] https://www.khanacademy.org/college-careers-more
https://www.khanacademy.org/college-careers-more/college-adm... :
- [ ] Video & exercise / Jupyter notebook under Exploring college options for Return on Investment (according to e.g. CollegeScorecard data)
So sure! If all we are looking at is ROI then you are right! By definition! As long as you restrict your refutation ("by that metric") in a way that ignores the additional metric I had been trying to add to the conversation. I was trying to point out that there are other metrics that matter.
Is the unique loss you identify not accounted for in the traditional ROI expression?