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You mean they pay you, as well?

9/17/2007

3 Comments

 
Posted by Jon
So, here’s an idea. We’re really enjoying the emails we receive from readers, and the requests for comments on particular topics. So, how’s about we take that on to the next logical level?

BJ and I have been chatting, and have come up with the idea of a Readers’ Panel for the blog. Here’s how it would work. We’re after a small number of you (five, six?) to put your names forward as panel members. Every couple of months, we’ll fire through a proposal-related topic to you by email (either one we’ve thought about, or one that other readers have suggested). We’ll canvass your comments, collate your replies, and publish them on the blog.

In return, for panel members? We can’t promise fame and fortune, but we can offer you the chance to participate in interesting debates and to air your views. And you can be confident that if you ever see BJ and I at the bar at a Conference, BJ will buy you a drink :-)​
3 Comments
Robin
3/26/2016 04:52:16 am

Hmmm, always good data. It will be of particular interest to assess years of experience with salaries…..I would guess that would make quite a difference. Or at least it should, IMO.

Reply
Kurt Rogahn
3/26/2016 04:52:24 am

One thing to keep in mind about salary data: The U.S. economy is not geographically consistent, as my boss reminded me a few weeks back.

Housing costs, commuting times/costs, and other expenses vary greatly. I can still buy a wonderful home here in Iowa for under $150,ooo, but in California, a figure twice that amount often will buy something small and ratty. So a $50,000 salary in one part of the country could compare quite favorably with a $90,000 salary somewhere else.

Or, so I’m told.

Reply
Jon
3/26/2016 04:52:39 am

Hi, Robin – I guess the correlation would perhaps be between years’ experience and seniority, and hence salary. I’ll have a dabble when I get back to the office to see if the data Barbara sent me shows anything meaningful on that front.

Kurt – interesting observation. As this is an international survey, the data’s probably even more variable between the US and other geographies (e.g. Asia), but my statistical training (many years ago) makes me wary of the population sizes, which aren’t really large enough to be confident in any conclusions. I did have a look at the data orted by U.S. state, but again by the time you cut a sample of 600-odd up 50-odd ways, the number of individuals in each area is a little low to be confident with any statistics. But if I ever move to the States, I’ll head for Iowa not California…

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