Abstract

https://ssrn.com/abstract=2614273
 


 



Legal Signal Processing


James Ming Chen


Michigan State University - College of Law

June 4, 2015


Abstract:     
It makes far more economic sense to prepare for disaster in advance than it does to stage heroic relief efforts after calamity strikes. For reasons rooted in politics and emotion, the law does exactly the opposite. Ad hoc relief, as expensive as it is spontaneous, dominates disaster law and policy.

The President’s unilateral power to declare a federal disaster under the Stafford Act invites political manipulation. To test whether presidential disaster declarations track the four-year presidential electoral cycle, this paper devises a generalized polynomial and multi-sinusoidal model for detecting cyclical patterns. This model draws heavily upon Fourier analysis and digital signal processing.

Presidential disaster declarations since 1953 reveal not one but two forms of periodicity. As expected, a “short wave” of four years shows how disaster declarations track the presidential election cycle. The effect is most pronounced not in election years (when declarations do spike), but in years immediately following a presidential election (when declarations dramatically plummet). Even more surprisingly, the record suggests that presidential disaster declarations also follow a “long wave,” whose frequency appears to be 44 years.

Number of Pages in PDF File: 22


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Date posted: June 4, 2015  

Suggested Citation

Chen, James Ming, Legal Signal Processing (June 4, 2015). Available at SSRN: https://ssrn.com/abstract=2614273 or http://dx.doi.org/10.2139/ssrn.2614273

Contact Information

James Ming Chen (Contact Author)
Michigan State University - College of Law ( email )
318 Law College Building
East Lansing, MI 48824-1300
United States
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