Category: Data

Administrative Bloat, 2020, Part II

After publishing yesterday’s piece, in which I updated a 5-year-old data analysis on spending on academic vs. non-academic salaries, I got a burst of unwarranted optimism and decided to try to do the same thing with another five year-old analysis on the same topic using institutional data – or at least institutional data from the dozen or so institutions who bother to publish this stuff.  Sounds simple, right?  I mean, if they published data before, they must publish it now, right?  How tough

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Administrative Bloat, 2020 Edition

Let’s take a look at administrative bloat.  It’s been about four and a half years since we last did it: time for another look. Now, the typical story we hear about administrative bloat concerns the huge numbers of administrative and support staff (henceforth, “A&S Staff”) hired, in contrast to the ranks of the professoriate, which are constantly decimated by predatory managers and yadda yadda.  The second part of that is reasonably easy to de-bunk, as Statistics Canada actually publishes data

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New Data on Labour Market Outcomes

A couple of weeks ago, the Labour Market Information Council released a whack of material, produced by Ross Finnie and his Education Policy Research Initiative, on graduate labour market outcomes using Statistics Canada’s new Education and Labour Market Longitudinal Platform (ELMLP).  The material included a paper, a couple of briefs on earnings by gender and international students, and a nifty online widget that lets you play with the data yourself. The data contains a few surprises, though nothing that radically shakes up much of what

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The Shifting Cost-base of Ontario’s Higher Education System

Today, I want to talk about a massive shift in the higher education cost base that has gone largely unremarked but had huge implications for institutions across the country. Let’s start by looking at Ontario undergraduate application statistics for 2020, the preliminary version of which came out a couple of weeks ago.  Figure 1 shows very little change from last year in terms of the big four application areas.  STEM is down a tad, but nothing to write home about

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A Closer Look at Gender Pay Gaps

Picking up on yesterday’s blog, let’s look more closely at the data on university gender and pay. In particular, we need to look at the underlying factors that cause pay disparities. Years of service is the most obvious single factor affecting average pay. Figure 1 shows the women’s share of the professoriate, by age.  Overall, 41% of the professoriate are women, but it skews much higher among younger (less well-paid) professors and much lower among older (more highly-paid) ones.  Figure 1:

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