Yearly Archives: 2018

Policing crime vs immigration?

Do you fear crime? Do you fear terrorism? Do you feel safe? It turns out that the government is much more afraid of immigrant groundskeepers and farm workers than terrorists or violent criminals: Congress… has elected to spend more than

Posted in Labor, Public Finance

Rising dominance of fewer corporate behemoths.

The number of publically traded corporations used to grow with the US population as you might expect. More people means more customers and more workers which creates opportunities for more corporations. But the number of public corporations peaked in 1996

Posted in Managerial Micro, Public Finance

Info technology has made land use data fun

Dave Merrill and Lauren Leatherby wrote a wonderful article at Bloomberg with a set of maps showing land use in the USA. They did a great job of taking public datasets and displaying the information in a fun way that

Posted in Public Finance

Data proves July is the best month to buy apparel online!

Austan Goolsbee and Peter Klenow compared overall inflation (red line) with inflation for goods that are sold online. They controlled for the fact that many goods like housing and fresh produce cannot be easily delivered by online vendors by matching

Posted in Managerial Micro

If there were a collapse of civilization, could people go back to hunting for survival?

I talk about some of history’s horrible famines in my economic development classes and the difficulty of getting enough food in Malthusian societies. Sometimes, some of my students ask why people starved rather than going out to hunt for food.

Posted in Development

The economics of residential density

Most Americans are used to low-density towns and suburbs and like them a lot. Many Americans have experienced unpleasant high-population-density places in America. In fact most of the high-density urban areas in the US were relatively unpleasant in recent US

Posted in Public Finance, Real Estate

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

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