This research was performed at a Federal Statistical Research Data Center under FSRDC Project Number 1819. The Census Bureau's Disclosure Review Board and Disclosure Avoidance Officers have reviewed this information product for unauthorized disclosure of confidential information and have approved the disclosure avoidance practices applied to this release. Any views expressed are those of the authors and not those of the U.S. The views expressed herein are solely those of the authors and do not necessarily reflect those of the Federal Reserve Bank of St. We are grateful to Jean Flemming, Simon Mongey and Iacopo Morchio for their comments.

Our view is that several puzzling micro and macro phenomena about the labor market are driven by the behavior of the small group of γ-workers. The model naturally explains both the variation in the consequences of job displacement across types, and the variation in the dynamics of unemployment during the Great Recession. We use a search-theoretic model of the labor market to rationalize the different patterns of employment transitions across types. During the Great Recession, excess unemployment for α-workers rose by little and was reabsorbed quickly unemployment for γ-workers rose by 20 percentage points and was not reabsorbed 4 years after its peak. The earnings losses caused by displacement are relatively small and transitory for α-workers, while they are large and persistent for γ-workers. Workers of type β are in between αs and γ's. Workers of type γ comprise less than one-fifth of workers, have a low probability of staying on the same job for more than 2 years and, when they become unemployed, face a high probability of remaining jobless for more than 1 year. Workers of type α make up over half of all workers, are most likely to remain on the same job for more than 2 years and, when they become unemployed, typically find a new job within 1 quarter. Transportation Economics in the 21st Centuryīased on patterns of employment transitions, we identify three different types of workers in the US labor market: α's β's and γ's.Training Program in Aging and Health Economics.The Roybal Center for Behavior Change in Health.Retirement and Disability Research Center.Measuring the Clinical and Economic Outcomes Associated with Delivery Systems.Improving Health Outcomes for an Aging Population.Early Indicators of Later Work Levels, Disease and Death.

Conference on Research in Income and Wealth.

Boosting Grant Applications from Faculty at MSIs.

Productivity, Innovation, and Entrepreneurship.

International Finance and Macroeconomics.

Specifically, is my scheme for returning the cutoffs when a table hit occurs correct? (And likewise, storing them.) My implementation seems to conflict with this one, yet it intuitively seems correct to me.Īlso, my algorithm never stores an entry with the at_most flag. I have implemented an alpha beta search with transposition table.ĭo I have the right ideas here about storing cutoffs in the table?

Alpha beta