More on the Kansas-US Unemployment Rate Difference

Bruce Hall says changing dynamics in Kansas have meant that a simple average difference (what I’ve called a individual state fixed effect) in Kansas-US unemployment rates is misleading — or more succinctly put, “the average obfuscates the trend”. So, I allowed a time trend and a square in time trend, in a regression over the 1976-2010 period (data series start in 1976; Brownback takes power in 2011). The t-stats on both coefficients are highly significant. Here is a picture of actual Kansas-US difference and the quadratic trend.

ks_quadra

Figure 1: Kansas-US unemployment rate difference, in %, seasonally adjusted (blue), and quadratic fit (red), and 68% prediction interval (gray). NBER defined recession dates shaded gray. Out of sample period shaded green. Source: BLS, NBER, author’s calculations.

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Why you should never use the Hodrick-Prescott filter

A common problem in economics is that most of the variables we study have trends. Even the simplest statistics like the mean and variance aren’t meaningful descriptions of such variables. One popular approach is to remove the trend using the Hodrick-Prescott filter. I’ve just finished a new research paper highlighting the problems with this approach and suggesting what I believe is a better alternative.
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Does the Aerospace Decline Explain the Kansas Collapse?

Ironman at Political Calculations thinks so. Unfortunately, in his calculation of Kansas GDP excluding agriculture and manufacturing, he made an error by simply subtracting (chain weighted) real agricultural output and real manufacturing from real GDP (as discussed in the addendum to this post; note that Ironman has never to my knowledge acknowledged this error). I’ll re-examine the importance of the shocks to the aerospace industry in Kansas to the slow pace of Kansas growth by looking at contributions to GDP growth, and contributions to employment growth.

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