Category: Data

ECE Contributions vs. PSE Contributions

Morning all.  Today, HESA is releasing a paper called “What We Ask of Parents: Unequal Expectations for Parental Contributions to Early-Childhood and Post-Secondary Education in Canada”, by Jacqueline Lambert, Jonathan Williams, and me.  The gist of it is: “Holy cow, we ask parents to contribute a lot more to ECE than PSE – why is that?” You can click here to read the whole report, or you can see the short version as an op-ed in today’s Globe and Mail.  What I want to

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Some Curious Student Loan Numbers

Every once in awhile, it’s good to go searching through statistical abstracts just to see if the patterns you take for granted can still be taken for granted.  So I recently went hunting through some CSLP annual reports and statistical abstracts to see what I could find.  And I’m glad I did, because there are some really surprising numbers in the data. So here’s the really big take-away: the number of students borrowing from the Canada Student Loan Program rose from 365,363

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Marginal Costs, Marginal Revenue

Businesses have a pretty good way of knowing when to offer more or less of a good.  It’s encapsulated in the equation MC = MR, and shown in the graphic below.                 Briefly, in the production of any good, unit-costs fall to start with as the benefits of economies of scale start to rise.  Eventually, however, if production is expanded far enough you get diseconomies of scale, and the marginal cost begins to rise.  Where the

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Reports, Books, and CUDO

It’s getting close to that time of year when I need to sign off for the holidays (tomorrow will be the last blog until January 4th).  So before then, I thought it would be worth quickly catching up on a few things. Some reports you may have missed.  A number of reports have come out recently that I have been meaning to review.  Two, I think, are of passing note: i) The Alberta Auditor-general devoted part of his annual report (see pages

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Defending Liberal Arts: Try Using Data

A few weeks back, I wrote about the Liberals Arts/humanities, and some really bad arguments both for and against them.  As usual when I write these, I got a lot of feedback to the effect of: “well, how would you defend the Liberal Arts, smart guy”?  Which, you know, fair enough.  So, here’s my answer. The humanities, at root, are about pattern recognition in the same way that the sciences and the social sciences are: they just seek patterns in different areas of

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