Blog Archives

88 years of unemployment data

Unfortunately FRED has four different somewhat-overlapping data series that must be combined to get the full, long-run picture of the unemployment rate from 1929 to the present. The first data series in light green is undoubtably the least accurate of

Posted in Labor, Macro

Finding data about places to live, study, and work

Data USA is a great place to access data for people who are thinking about where to go to college, what kind of major/career to investigate, and where to live after graduation. For example, my boys have been most interested

Posted in Labor

Many whites are uneasy about becoming a minority in America. It isn’t happening. They should relax.

The media tends to use the narrowest racial definitions in order to stoke anxiety because that brings readers, but those definitions are arbitrary and more inclusive racial definitions are more accurate because the biggest growth is the rise in interracial

Posted in Discrimination, Labor

Occupational licensing is the new unionization

Back in 2011, which kind of license would cost more money to obtain in New York City? A license to practice medicine or a license to drive a taxi cab? A taxi cab medallion cost over $1 million in 2011

Posted in Inequality, Labor

Keep marriage within the family?

Robin Fox believes that 80% of all marriages in all of history were between second cousins or closer relatives, but that has been changing rapidly since the advent of industrialization. Today, only about 10% of marriages are consanguineous. Little of

Posted in Labor

Naming aspirations

If “A rose by any other name would smell as sweet,” does it matter what names we have? Rafael Cruz thinks so. He is better known by his nickname, Ted Cruz, the 2016 presidential candidate from Texas who prefers a stereotypically Anglo name, Ted,

Posted in Discrimination, Labor

Artificial intelligence will dominate more and more of society. Will it be racist and sexist?

Brian Resnick explains research that our systems of artificial intelligence have learned to perpetuate racism and sexism just like people do. “Many people think machines are not biased,” Princeton computer scientist Aylin Caliskan says. “But machines are trained on human

Posted in Discrimination, Labor

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