Using matched March Current Population Surveys, we examine labor market transitions of husbands and wives. We find that the "added-worker effect" - the greater propensity of nonparticipating wives to enter the labor force when their husbands exit employment - is still important among a subset of...

We develop a dynamic factor model with Markov switching to examine secular and business cycle fluctuations in the U.S. unemployment rates. We extract the common dynamics amongst unemployment rates disaggregated for 7 age groups. The framework allows analysis of the contribution of demographic...

We develop a dynamic factor model with Markov switching to examine secular and business cycle fluctuations in U.S. unemployment rates. We extract the common dynamics among unemployment rates disaggregated for seven age groups. The framework allows analysis of the contribution of demographic...

We develop a dynamic factor model with Markov switching to examine secular and business cycle fluctuations in U.S. unemployment rates. We extract the common dynamics among unemployment rates disaggregated for seven age groups. The framework allows analysis of the contribution of demographic...

Using matched March Current Population Surveys, we examine labor market transitions of husbands and wives. We find that the “added-worker effect”—the greater propensity of nonparticipating wives to enter the labor force when their husbands exit employment—is still important among a...

Each month, the government releases two estimates of U.S. employment growth - one based on a survey of firms, the other on a survey of households. Since 1994, these measures have diverged sharply. Evidence suggests that the household survey's estimate has risen more slowly because it undercounts...

Each month, the government releases two estimates of U.S. employment growth - one based on a survey of firms, the other on a survey of households. Since 1994, these measures have diverged sharply. Evidence suggests that the household survey's estimate has risen more slowly because it undercounts...