« Communicating, coding and intuition for data scientists | Main | Summer holiday »


Feed You can follow this conversation by subscribing to the comment feed for this post.


Kaiser check out some of the work by Rich Burkhauser on this. He has been discussing biases in this sort of measure for some time now.

If someone who's earning $25K (below median) becomes unemployed, this event has no impact on the median because earning $0 also is a below-median number.

Maybe I am not getting the context here but would this not actually raise the median?
R code

df1 <- c(25,10,12,15,19,57,68,72,100,120,85)

df2 <- df1[-1]


The median is the midpoint of the data set. Because $25k and $0 are both on the same side of the midpoint, movements from one of these levels to the other one will not affect the median.


"The fact that the full-time median has stayed flat implies that it's the bottom that has fallen out.
When the median number is changing as drastically as is portrayed here, we are looking at a crisis."

That is too big of a jump. Part time male workers have a declining median wage, yes, but there could be other elements at play. As more women enter ther workforce and households more commonly have multiple incomes (starting right about where the part time decline is in the 70s) you would expect to see declines in part time wages because competition just increased for the same jobs. Now with more families relying more on multiple incomes the individual earner's income doesn't need to be as high.

Is there still a problem, yes. But this doesn't necessarily imply an income crisis, there are a lot of other labor market features that tie in here.

Verify your Comment

Previewing your Comment

This is only a preview. Your comment has not yet been posted.

Your comment could not be posted. Error type:
Your comment has been posted. Post another comment

The letters and numbers you entered did not match the image. Please try again.

As a final step before posting your comment, enter the letters and numbers you see in the image below. This prevents automated programs from posting comments.

Having trouble reading this image? View an alternate.


Post a comment

Marketing and advertising analytics expert. Author and Speaker. Currently at Vimeo and NYU. See my full bio.

Next Events

Mar: 26 Agilone Webinar "How to Build Data Driven Marketing Teams"

Apr: 4 Analytically Speaking Webcast, by JMP, with Alberto Cairo

May: 19-21 Midwest Biopharmaceutical Statistics Workshop, Muncie, IN

May: 25-28 Statistical Society of Canada Conference, Toronto

June: 16-19 Predictive Analytics World (Keynote), Chicago

Past Events

Feb: 27 Data-Driven Marketing Summit by Agilone, San Francisco

Dec: 12 Brand Innovators Big Data Event

Nov: 20 NC State Invited Big Data Seminar

Nov 5: Social Media Today Webinar

Nov: 1 LISA Conference

Oct: 29 NYU Coles Science Center

Oct: 9 Princeton Tech Meetup

Oct: 8 NYU Bookstore, NYC


Jul: 30 BIG Frontier, Chicago

May: 30 Book Expo, NYC

Apr: 4 New York Public Library Labs and Leaders in Software and Art Data Viz Panel, NYC

Mar: 22 INFORMS NY Student-Practitioner Forum on Analytics, NYC

Oct: 19 Predictive Analytics World, NYC

Jul: 30 JSM, Miami

Junk Charts Blog

Link to junkcharts

Graphics design by Amanda Lee


  • only in Big Data