In this paper, we exploit plant-level data for U.S. manufacturing for the 1970s and 1980s to explore the connections between changes in technology and the structure of employment and wages. We focus on the nonproduction labor share (measured alternatively by employment and wages) as the variable...

Using establishment-level data, we shed light on the sources of the changes in the structure of production, wages, and employment that have occurred over recent decades. Our findings are: (1) the between-plant component of wage dispersion is an important and growing part of total wage...

By exploiting establishment-level data, this paper sheds new light on the source of the changes in the structure of production, wages, and employment that have occurred over the last several decades. Based on theoretical work by Caselli (1999) and Kremer and Maskin (1996), we focus on...

In recent years a growing number of countries have constructed data series on job creation and job destruction using establishment- level data sets. This paper provides a description and detailed comparison of these new data series for the United States and Canada. First, the Canadian and United...

In recent years a growing number of countries have constructed data series on job creation and job destruction using establishment-level data sets. This paper provides a description and detailed comparison of these new data series for the United States and Canada. First, the Canadian and U.S....

The Census Bureau has recently begun releasing official statistics that measure the movements of firms in and out of business and workers in and out of jobs. The economic analyses in Producer Dynamics exploit this newly available data on establishments, firms, and workers, to address issues in...

Start-ups and other entrepreneurial ventures make a significant contribution to the US economy, particularly in the tech sector, where they comprise some of the largest and most influential companies. Yet for every high-profile, high-growth company like Apple, Facebook, Microsoft, and Google,...