The bootstrap and multiple imputations are two techniques that can enhance the accuracy of estimated confidence bands and critical values. Although they are computationally intensive, relying on repeated sampling from empirical data sets and associated estimates, modern computing power enables...

During the past two decades, union density has declined in the United States and employer provision of health benefits has changed substantially in extent and form. Using individual survey data spanning the years 1983–97 combined with employer survey data for 1993, the authors update and...

The authors use data from the 1984 Survey of Income and Program Participation (SIPP) to investigate whether employer-provided health insurance reduced worker mobility (a phenomenon termed “job-lockâ€). The SIPP provides Information on variables—particularly pension receipt, job...

The U.S. unemployment rate has remained stubbornly high since the 2007-2009 recession, leading some observers to conclude that structural rather than cyclical factors are to blame. Relying on a standard job search and matching framework and empirical evidence from a wide array of labor market...

In response to the Great Recession, the availability of unemployment insurance (UI) benefits was extended to an unprecedented 99 weeks in many U.S. states in the 2009-2012 period. We use matched monthly data from the CPS to exploit variation in the timing and size of the UI benefit extensions...

A recent decline in internal migration in the United States may have been caused in part by falling house prices, through the “lock in” effects of financial constraints faced by households whose housing debt exceeds the market value of their home. I analyze the relationship between such...

type="main" xml:lang="en" <p>Using data from a 2006 survey of California high school economics classes, we assess the effects of teacher characteristics on student achievement. We estimate value-added models of outcomes on multiple choice and essay exams, with matched classroom pairs for each...</p>