This book consists of a selected subset of papers presented at the International Symposium of Linked Employer-Employee Data, held in Washington DC, in May 1998 - to address the creation and analysis of such matched data in an environment that safeguards respondent confidentiality. The conference brought together a wide range of social scientists and statisticians from more than 20 countries.

Three broad themes are highlighted:
(1) The analysis of linked employer-employee data.
The basic finding of this and the next section is that the firm matters a good deal in explaining the differences in earnings, productivity, and work experiences of individual workers. Linked data allow the researcher to disentangle the firm effects from the worker effects.
(2) Econometric issues involved with the analysis of such data.
Creating and analyzing employer-employee matched data sets presents a number of new econometric problems that are not present in standard micro-data sets containing just workers or just employers. However, these data also offer us a unique opportunity to examine the effects of some of the econometric problems involved in using the other data sources. The chapters in this section address both of these issues. The first two chapters examine new econometric issues involved in the creation and use of matched data sets, while the second two chapters use matched data to examine possible problems with cross-sectional or panel data on workers. The results from each of these chapters will be valuable to all empirical researchers, regardless of whether they are using employer-employee matched data or more standard cross-sectional or panel data sets.
(3) Ongoing effortsaimed at creating large-scale linked employer-employee data.
The last section of this book describes four recent efforts at creating linked employer-employee data through surveys of firms and individuals. The first two chapters describe an "employers first" methodology of creating linked employer-employee data, and the last two chapters describe an "employees first" methodology. The two "employees first" surveys described here are, as far as known, the only two large-scale surveys in production that follow this design. Each of the four chapters in this section describes details about the design and field operation of the survey that will be indispensable to others who might want to create or analyze linked employer-employee survey data.

The 23 chapters in this book provide a glimpse into the future of labor economics and industrial organization. It can be said that labor economics and public policy around the world has been dominated over the past several decades by quantitative analyses based upon public-use US micro-data. In the future, it is very likely that economics and social policy in the United States and elsewhere will depend on quantitative analysis based on linked employer-employee micro-data currently residing in all continents of the world.

The Dynamics of Industrial Competition describes the internal dynamics of industries using new and unique longitudinal data that make it possible to track firms over time. It provides a comprehensive picture of a number of aspects of firm turnover in North America that arise from the competitive process - the entry and the exit of firms, the growth and the decline of incumbent firms, and the merger process. Instantaneous and cumulative measures of market dynamics are provided. Since the forces contributing to competition are varied and industries are affected by heterogeneous forces, different aspects of firm turnover are considered in order to provide a comprehensive overview of the competitive process. Entry is divided into that portion coming from the creation of new plants and that portion arising from the acquisition of existing firms. Differences are drawn between the effects of related and unrelated acquisitions and between the effects of take-overs made by domestic and foreign firms. Differences between large- and small-firm activity are also investigated. The effects of turnover on productivity, efficiency, wage rates, and profitability are extensively model led. Using various measures of firm turnover to proxy the amount of competition, the study examines and contextualizes the relationship between industry performance and the intensity of the competitive process.

The Dynamics of Industrial Competition provides the first extensive quantitative examination of the processes associated with competition: entry and exit, mergers, growth and decline of incumbent firms. It uses a unique data base to investigate phenomena that have rarely been measured and even more rarely set side by side so as to provide a comprehensive picture of the intensity of competition and its effects on productivity, efficiency and profitability. It will be of interest to all social scientists who are concerned with the workings of markets--economists, political scientists, government specialists, as well as antitrust lawyers.

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, many more fail. This enormous heterogeneity poses conceptual and measurement challenges for economists concerned with understanding their precise impact on economic growth. Measuring Entrepreneurial Businesses brings together economists and data analysts to discuss the most recent research covering three broad themes. The first chapters isolate high- and low-performing entrepreneurial ventures and analyze their roles in creating jobs and driving innovation and productivity. The next chapters turn the focus on specific challenges entrepreneurs face and how they have varied over time, including over business cycles. The final chapters explore core measurement issues, with a focus on new data projects under development that may improve our understanding of this dynamic part of the economy.