This paper provides evidence on the behavior of reservation wages over the spell of unemployment using high‐frequency longitudinal data. Using data from our survey of unemployed workers in New Jersey, where workers were interviewed each week for up to 24 weeks, we find that self‐reported...

We use a rich new body of data on the experiences of unemployed job-seekers to determine the sources of wage dispersion and to create a search model consistent with the acceptance decisions the job-seekers made. From the data and the model, we identify the distributions of four key variables:...

This paper presents findings from a survey of 6,025 unemployed workers who were interviewed every week for up to 24 weeks in the fall of 2009 and spring of 2010. Our main findings are: (1) the amount of time devoted to job search declines sharply over the spell of unemployment; (2) the...

This paper provides new evidence on job search intensity of the unemployed in the U.S., modeling job search intensity as time allocated to job search activities. The main findings are: 1) the average unemployed worker in the U.S. devotes about 41 minutes to job search on weekdays, which is...

This paper provides new evidence on time use and subjective well-being of employed and unemployed individuals in 14 countries. We devote particular attention to characterizing and modeling job search intensity, measured by the amount of time devoted to searching for a new job. Job search...

This paper establishes a new fact about the compositional changes in the pool of unemployed over the U.S. business cycle and evaluates a number of theories that can potentially explain it. Using micro-data from the Current Population Survey for the years 1962-2011, it documents that in...

Using a unique new survey, we study the relationship between search effort and outcomes for employed and non-employed workers. We find that the employed fare better than the non-employed in job search: they receive more offers per application and are offered higher pay even after controlling for...