Time series dynamics of US State unemployment rates

1999 ◽  
Vol 31 (11) ◽  
pp. 1503-1510 ◽  
Author(s):  
James E. Payne ◽  
Bradley T. Ewing ◽  
Erik P. George
2021 ◽  
pp. 0013189X2110608
Author(s):  
Dan Goldhaber ◽  
Roddy Theobald

We use 35 years of data on public school teachers in Washington to calculate several different measures of teacher attrition and mobility. We explore how these rates vary over time and their relationship with the state unemployment rate. Annual rates of teacher attrition from the workforce have been between 5% and 8% for each of the past 35 years, and there is a strong negative relationship between unemployment rates and these rates of attrition. This history suggests that teacher attrition is likely to increase as the economy recovers after the pandemic, but this increase is likely to be modest.


2009 ◽  
Vol 76 (2) ◽  
pp. 458-466 ◽  
Author(s):  
Peter S. Sephton

Author(s):  
Benjamas Jirasakuldech ◽  
Sean Snaith

This paper examines the nature of asymmetry of U.S. state unemployment rates using the time reversibility test developed by Ramsey and Rothman (1996). These authors and others have found asymmetry in aggregate unemployment rates in this study we examine whether or not these results extend to state level unemployment series.  Alaska, District of Columbia, Hawaii, Louisiana, Missouri, Montana, and Puerto Rico, exhibit changes in unemployment rates that are symmetric.  California, Georgia, Kansas, and North Carolina, show evidence of asymmetry of the change in unemployment rates due to non-linearity in the model.  Unemployment rate asymmetry documented in other states is attributable to non-Gaussian errors.  Asymmetric patterns documented in most states are consistent with the fast-up and slow-down dynamics observed in aggregate unemployment data.


2018 ◽  
Vol 34 (2) ◽  
pp. 91-108 ◽  
Author(s):  
Carlo Michael Knotz

AbstractOver the last decades, governments in the advanced democracies have put greater pressure on the unemployed to seek and accept employment. This development has been pointed out in much prior research, yet relatively little is known about the exact changes that have been introduced. This paper fills this gap. It draws on a novel time-series cross-section dataset on the strictness of unemployment benefit conditions and sanctions in 21 democracies between 1980 and 2012, and shows in which aspects these rules have become stricter – and in which not. The paper confirms that there has been a general trend toward tighter conditions and sanctions, but adds some important qualifications: Many rules and provisions have also been adapted in response to the emergence of new social risks and there is also a noticeable trend toward more clearly defined and precise rules. Based on these findings, new causal hypotheses are suggested.


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