Category: Data

Affordability

At some point in the next week or so, Statistics Canada will be releasing its annual statistics on tuition fees.  Hopefully it will be less of a fiasco than last year, when they released data a few days after the Quebec election, but didn’t bother to note that the planned tuition fee hike was being reversed. What I want to do today is to put the inevitable “rising fees” stories that always accompany the Statscan release into some sort of

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Today’s Statscan Youth Jobs Report

Hi there.  Just a slight deviation from the summer publication schedule to bring you some perspective on the youth employment numbers coming out of StatsCan today. Unless something has gone seriously gaga in the youth labour market in the past few weeks, today’s Labour Force Survey release will say that slightly over 70% of students aged 20-24 are employed and that unemployment among these students is in the 7-9% range. That sounds pretty good; the problem is that StatsCan’s definition

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Some Insights Into Medium-term Education Outcomes

As I noted yesterday, Canada is unnecessarily bad at looking at medium-term outcomes of education. The only place where we have data on university graduates even five years out is in BC, and they publish the data in such a weird format (seriously: check it out) that no one really explores them. It could be worse. In 2005, Statscan, did a 5-year follow-up of the class of 2000 and elected not to publish any results relating to employment or income.

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A Better Way to Track Graduates

The real problem Canada has with respect to the whole “does-education-pay” debate is data. It’s not that we don’t have people collecting data – we do, lots of them. The problem is that they’re all collecting data over time frames so short as to be largely meaningless. The gold standard used to be the National Graduate Survey, which surveyed every fifth graduating class two and five years out. Now the 2-year survey is a year behind schedule and the 5-year

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Post-Graduation Employment

The meme on “underperforming universities” these days revolves around the idea that specific fields of study – usually Bachelor’s degrees in the humanities – do not lead to good jobs.  But this depends in no small measure on what one means by a “good job”, and over what time frame one chooses to measure success. The graph below shows data from Ontario, six months after graduation.  Between 2003-2007, the employment rate of graduates in the labour market (i.e. excluding those

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