Abstract
This paper examines the time series properties of state and national unemployment rates. Based upon unit root, variance ratio, and cointegration tests, as well as Granger-causality and error-correction model results, several important conclusions can be made. First, forecasting models that include only levels of unemployment rates may produce spurious regression results. Second, in the vast majority of cases, there is no long run co-movement between the aggregate US unemployment rate and individual state unemployment rates. Third, models that are specified in first-differences generally yield reliable insights into state-national unemployment relationships.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
