Persistence in U.S. State Unemployment Rates

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


1999 ◽  
Vol 31 (11) ◽  
pp. 1503-1510 ◽  
Author(s):  
James E. Payne ◽  
Bradley T. Ewing ◽  
Erik P. George

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.


2016 ◽  
Vol 22 (5) ◽  
pp. 1298-1320
Author(s):  
Corrado Andini ◽  
Monica Andini

We argue that a random-coefficients representation of the classical Barro's model of unemployment dynamics can be used as a theoretical basis for a panel quantile autoregressive model of the unemployment rate. Estimating the latter with State-level data for the United States (1980–2010), we find that (i) unemployment persistence increases along quantiles of the conditional unemployment distribution; (ii) disregarding State-fixed effects implies an overestimation of unemployment persistence along unemployment quantiles; (iii) a macroeconomic shock changes not only the location but also the dispersion of the distribution of the State unemployment rates; (iv) a federal policy equally applied in each State can reduce unemployment inequality among States; (v) “hysteresis” and “natural rate” hypotheses can co-exist along quantiles of the unemployment distribution, with the former being not rejected at upper quantiles. In sum, while the standard approach to the estimation of unemployment persistence implicitly assumes that quantile parameter heterogeneity does not matter, we suggest that it does.


1984 ◽  
Vol 24 (1) ◽  
pp. 85-92 ◽  
Author(s):  
Richard McHugh ◽  
Richard Widdows

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