Tag Archives: class

Class Privilege and Parental Leave

Cross-posted at Global Policy TV.

The United States is unusual among developed countries in guaranteeing exactly zero weeks of paid time-off from work upon the birth or adoption of a child. Japan offers 14 weeks of paid job-protected leave, the U.K. offers 18, Denmark 28, Norway 52, and Sweden offers 68 (yes, that’s over a year of paid time-off to take care of a new child).

The U.S. does guarantee that new parents receive 12 weeks of non-paid leave, but only for parents who work in companies that employ 50 workers or more and who have worked there at least 12 months and accrued 1,250 hours or more in that time.  These rules translate to about 1/2 of women.  The other half are guaranteed nothing.

Companies, of course, can offer more lucrative benefits if they choose to, so some parents do get paid leave.  This makes the affordability of having children and the pleasure and ease with which one can do so a class privilege.  A new report by the U.S. Census Bureau documents this class inequality, using education as a measure.  If you look at the latest data on the far right (2006-2008), you’ll see that the chances of receiving paid leave is strongly correlated with level of education:

Looking across the entire graph, however, also reveals that this class inequality only emerged in the early 1970s and has been widening ever since.  This is another piece of data revealing the way that the gap between the rich and the poor has been widening.

Just to emphasize how perverse this is:

  • People with more education, who on average have higher incomes, are often able to take paid time off; but less-economically advantaged parents are more likely to have to take that time unpaid.  During the post-birth period, then, the economic gap widens.

There’s more:

  • Many less-advantaged parents can’t afford to take time off un-paid, so they keep working.  But even this widens the gap because their salary is lower than the salary the richer person continues to receive during their paid time off of work.  So the rich get paid more for staying home than the poor get for going to work.

We often use the minimizing word  “just” when  describing what stay-at-home parents do.  “What are you doing these days?” asks an old friend at a class reunion.  “Oh, just staying home and taking care of my kids,” a parent might say, as if raising kids is “doing nothing.”  We trivialize what parents do.  But, in fact, raising children is a valuable contribution to the nation.  We need a next generation to keep moving forward as a country.  Unfortunately the U.S. continues to treat having kids like a hobby (something its citizens choose to do for fun, and should pay for themselves).  Without state support for early parenting, being present in those precious early months is a class-based privilege, one that ultimately exacerbates the very class disadvantage that creates unequal access to the luxury of parenting in the first place.

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Lisa Wade is a professor of sociology at Occidental College. You can follow her on Twitter and Facebook.

Climate Change and Global Comparisons of Inequality

In an earlier post we reviewed research by epidemiologists Richard Wilkinson and Kate Pickett showing that income inequality contributes to a whole host of negative outcomes, including higher rates of mental illness, drug use, obesity, infant death, imprisonment, and interpersonal trust.

In the six-minute video below, Kate Pickett talks about how more equal societies are kinder to each other, give more in foreign aid, are less status-conscious, consume less, and even recycle more.  Based on this, she argues that reducing inequality within societies is a good strategy towards addressing climate change.

How to increase equality? It turns out there are lots of options.

See Dr. Pickett making similar arguments as to why raising the average national income in developed countries doesn’t make people happier or enable them to live longerwhy unequal societies are more violent, and how status inequality increases stress.

And see more about income inequality and national well-being at Equality Trust.

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Lisa Wade is a professor of sociology at Occidental College. You can follow her on Twitter and Facebook.

The Rise of Autism: Social Contagion or Environmental Causation

Autism appears to be on the rise. The U.S. Centers for Disease Control and Prevention reports that there are 20 times more cases of autism today than there were in the 1980s.  This figure, from the Los Angeles Times, shows a 200% increase in California:

The rise in cases of autism led scientists to ask whether there was an actual increase in incidence or if we were just getting better at identifying it.  The evidence seems to suggest that it’s (at least mostly) the latter.  Said anthropologist Roy Richard Grinker: “Once we are primed to see something, we see it and wonder how we could have never seen it before.”

But how to explain disparities like this?

Often regional differences in health and mental health can be traced to heavier environmental toxin loads.   In most of those cases, though, clusters of illness occur in poor and often disproportionately non-white neighborhoods.  Autism clusters were happening in class-privileged places.

Sociologist Peter Bearman discovered that these clusters were the result of conversation.  Class-privileged parents had the resources to get their child diagnosed, then they talked to other parents.  Some of these parents would recognize the symptoms and take their child to the doctor and… voila… a cluster.  ”Living within 250 meters [of a child diagnosed with autism], reports the Los Angeles Times, boosted the chances by 42%, compared to living between 500 and 1,000 meters away.”

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Lisa Wade is a professor of sociology at Occidental College. You can follow her on Twitter and Facebook.

Dropping Out of School Reduced to an Individual Choice

The commercial below, produced by a partnership between State Farm and the NBA, shows what might happen to a sleepy African American teenager reluctant to get up and go to school.  If he sleeps in too late too many times, the narrator warns, he may end up homeless: ”Every 26 seconds, a kid drops out of high school.”

Ted P., who sent in the ad, remarks that it manages to completely erase the structural reasons why a teenager may drop out of school, reducing dropping out to a decision that a (lazy?) teenager makes.  Ted writes:

All the issues related to why there is such a high dropout rate are ignored: the lack of jobs, the hopelessness of life in the ghetto, the collapsing state of education in the inner-cities. On top of that, the black male shown in the video seems to be from a rather middle class background… all of it seems to pin the fault on the individual student rather than the system itself.

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Lisa Wade is a professor of sociology at Occidental College. You can follow her on Twitter and Facebook.

Performance Art in the Age of the Internet

Hennessy Youngman is one of things-on-the-internetz that validates the entire enterprise. In the fast and fascinating 10 minute clip here, Youngman traces the history of performance art, linking it to Occupy and our contemporary engagement with the internet. Oh, and totally worth watching to the end.

(Hennessy, if you’re reading, I was the one that tweeted at you to do a video about The Levitated Mass.  Nobody could do it quite like you! PS – whisky is my drink too.)

Also from Hennessy Youngman:

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Lisa Wade is a professor of sociology at Occidental College. You can follow her on Twitter and Facebook.

The Unsustainable Recovery

Cross-posted at Reports from the Economic Front.

The Great Recession ended in June 2009, which means we have been in economic expansion for almost 3 years.  Lately the news has been filled with reports of positive economic trends, but how seriously should we take these reports?

One indicator worth looking at is median household income (the red line below).  Unfortunately its trend suggests little reason for cheer. In January 2012, median household income was $50,020.  That was 5.4% lower than it was in June 2009.  Even worse, as the chart below reveals, after a brief uptick it headed back down again.

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It is true that employment is finally growing, a development reflected in the decline in the unemployment rate (the blue line above).  Unfortunately, this has done little to boost wages.  In fact, real wages actually fell in 2011.  The first chart below highlights the downward turn.  The second chart reveals just how far per capita earnings remain below historical trend.

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This situation helps to explain why growth has been so anemic.  As the Wall Street Journal wrote:

Many economists in the past few weeks have again reduced their estimates of growth.  The economy by many estimates is on track to grow at an annual rate of less than 2% in the first three months of 2012.  The economy expanded just 1.7% last year.  And since the final months of 2009, when unemployment peaked, the economy has expanded at a pretty paltry 2.5% annual rate.

Without a dramatic change in median household income, growth will remain slow and even the limited employment gains we currently celebrate will likely prove impossible to sustain.  Given the current political climate, it is hard to see how this expansion will be either long lasting or bring meaningful improvements in majority living and working conditions.

Where’s the Boss? And What Counts as “Work”?

Cross-posted at Organizations, Occupations and Work.

Last week the Wall Street Journal printed an article describing how CEOs around the world spend their time.  The article drew on data from a larger study, the Executive Time Use Project , and relied on reports of time use by CEO’s personal assistants.  The article indicates that assistants only tracked activities that lasted over 10 minutes in a single week selected by researchers.  That assistants, rather than the CEOs themselves, were keeping track of time use leads me to believe the reports are relatively accurate.  After all, the assistant probably does most of the scheduling of a CEOs day and CEOs are likely too busy to track data time or to agree to record their time use.

Here’s the break-down of the typical 55-hour work week for CEOs:

The hype about the findings is about the finding regarding time spent in meetings — 18 hours per week (see “Where’s the Boss? Trapped in a Meeting”).  I’m more interested in the task that occupies the greatest amount of a CEO’s time in a typical week—the 20 hours of “miscellaneous” activities.  The fine print indicates that the “miscellaneous” activities include time spent travelling, in personal activity including exercise or lunch with a spouse, or in short activities like quick, unscheduled phone calls.

The project website advertises that knowing how CEOs spend their time can tell a lot about management style and differences in cultures and performances.  Maybe it can, and here arearticles that tackle these issues.  I think it tells us something slightly different and far more basic than this: what constitutes “work” depends on who does it.  Would a study of low wage workers calculate as part of the work week “exercise”?  Do we count travel time to and from a job as “work” among mid-level managers?  The BLS American Time Use Surveys (Table 5, see footnote 2) do not include travel related to work in measures of work time. Why did the authors include as part of a CEO workday things like personal time and activities unrelated to work?

Without this personal time, a CEO’s average work week—35 hours—looks closer or shorter than other workers.   For example, among employed people who worked on an average weekday in 2010, the average weekly hours spent working at all jobs (excluding travel related to work), for workers with a H.S. diploma was 40.05 hours, for women who worked full-time, the average was 40.80 hours, for all full-time workers, the average weekly work hours was 41.95 hours (to calculate these weekly averages from the BLS, I assumed people worked 5 days a week which is typical for full-time workers, but may overestimate the work hours of those with a H.S. diploma).

Perhaps it is time to re-evaluate how we measure “work” or at least pay close attention to the ways we do so differently for workers at different levels of the hierarchy.  Now I’m headed to the gym for some exercise.  Should I all that “work”?  I’ll leave it to you to decide.

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Julie Kmec is an associate professor of sociology at Washington State University.  She has conducted research on organizations and work, in particular on issues of gender and race inequality at work, the glass ceiling, employment discrimination, and sex segregation.  She is part of a working group at the Clayman Institute for Gender Research at Stanford University investigating ways to redefine work.

Database of Top Incomes in Selected nations

The Paris School of Economics has posted a database, compiled by Facundo Alvaredo, Tony Atkinson, Thomas Piketty, and Emmanuel Saez, of the distribution of top incomes in a number of nations, with more on the way. Using income tax records, they provide a quick glance at concentration of income among the wealthy over decades (and in some cases, data extends back over a century). As the authors point out, there are limitations to using tax info to measure inequality, so it’s important to be aware of the limitations of this data series. Most obviously, individuals may take steps to hide their income to evade taxes, and the very wealthy may be particularly able to do so through the use of tax havens, etc. Also, tax policies change, so what counts as “income” at one point might not at another. The authors also had to contend with differences in the taxation unit (households vs. individuals) in different countries to provide some level of comparability.

The database allows you to select a country, a time period, and a variable (top 5% income share, etc.), and get a table showing the results for all years in which data were available. Here, for instance, is part of the table for the share of income earned by the top 1% in Singapore:

Of course, this includes only data on income. In many countries, including the U.S., wealth (value of all assets) is significantly more concentrated than income.

Looking at the dataset, you can see patterns over time. For instance, here’s part of the data from the U.S. (notice there are time gaps between the end of each column and the beginning of the next–I was just grabbing some illustrative screencaps), showing how the percent of income earned by the top 0.1% decreased significantly starting in the 1940s, but began creeping up again by the late 1980s and has grown since then:

The site also allows you to create graphs. They provide a comparison of the share of income earned by the top 1% in 2005 in the U.S., Japan, Australia, and France, but you can look at data for individual nations:

It’s worth playing around a bit, but keeping in mind the caveats about what these data do and don’t tell us. Thanks to Shamus Khan for the tip!