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"This paper analyzes job flows in a sample of 16 industrial and emerging economies over the past decade, exploiting a harmonized firm-level dataset. It shows that industry and firm size effects (and especially firm size) account for a large fraction in the overall variability in job flows. However, large residual differences remain in the job flow patterns across countries. To account for the latter, the paper explores the role of differences in employment protection legislation across countries. Using a difference-in-difference approach that minimizes possible endogeneity and omitted variable problems, our findings show that hiring and firing costs tend to curb job flows, particularly in those industries and firm size classes that require more frequent labor adjustment"--National Bureau of Economic Research web site

This paper examines the relationship between the use of advanced technologies such as ICT, and outcomes such as productivity, the skill mix of the workforce and wages using micro data for the U.S. and Germany. We find support to the idea that U.S. businesses engage in experimentation in a variety of ways not matched by their German counterparts. In particular, there is greater experimentation amongst young U.S. businesses and also among those actively changing their technology. This is evidenced in a greater dispersion in productivity and related key business choices. We also find that the mean impact of adopting new technology on productivity and wages is greater the in U.S. than in Germany.

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: 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).It also hoghlights the themes: 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).It also highlights the theme: ongoing efforts aimed 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

Every day, in every sector of our economy, a business shuts down while another starts up, jobs are created while others are cut, and workers are hired while others are laid off. This constant flux, or turbulence, is a defining characteristic of our free market system, yet it mostly inspires angst about unemployment, loss of earnings, and the overall competitiveness of corporations. But is this endless cycle of fluctuation really so bad for America? Might something positive be going on in the economy as a result of it? In this penetrating work, three esteemed economists seek to answer these que

As the accelerated technological advances of the past two decades continue to reshape the United States' economy, intangible assets and high-technology investments are taking larger roles. These developments have raised a number of concerns, such as: how do we measure intangible assets? Are we accurately appraising newer, high-technology capital? The answers to these questions have broad implications for the assessment of the economy's growth over the long term, for the pace of technological advancement in the economy, and for estimates of the nation's wealth. In Measuring Capital in the New Economy, Carol Corrado, John Haltiwanger, Daniel Sichel, and a host of distinguished collaborators offer new approaches for measuring capital in an economy that is increasingly dominated by high-technology capital and intangible assets. As the contributors show, high-tech capital and intangible assets affect the economy in ways that are notoriously difficult to appraise. In this detailed and thorough analysis of the problem and its solutions, the contributors study the nature of these relationships and provide guidance as to what factors should be included in calculations of different types of capital for economists, policymakers, and the financial and accounting communities alike.

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Prefatory note -- Introduction / John Haltiwanger, Erik Hurst, Javier Miranda, and Antoinette Schoar. 1 Entrepreneurial heterogeneity : High-growth young firms: contribution to job, output, and productivity growth / John Haltiwanger, Ron S. Jarmin, Robert Kulick, and Javier Miranda -- Nowcasting and placecasting entrepreneurial quality and performance / Jorge Guzman and Scott Stern -- Wealth, tastes, and entrepreneurial choice / Erik Hurst and Benjamin W. Pugsley -- Are founder CEOs good managers? / Victor Manuel Bennett, Megan Lawrence, and Raffaella Sadun -- Immigrant entrepreneurship / Sari Pekkala Kerr and William R. Kerr. 2 Challenges facing entrepreneurs: finance and business conditions : How did young firms fare during the Great Recession? Evidence from the Kauffman Firm survey / Rebecca Zarutskie and Tiantian Yang -- Small business and small business finance during the financial crisis and the Great Recession: new evidence from the Survey of Consumer Finances / Arthur B. Kennickell, Myron L. Kwast, and Jonathan Pogach -- Does unemployment insurance change the selection into entrepreneurship? / Johan Hombert, Antoinette Schoar, David Sraer, and David Thesmar -- Job creation, small versus large versus young, and the SBA / J. David Brown, John S. Earle, and Yana Morgulis. 3 Data gaps and promising avenues for the future : Venture capital data: opportunities and challenges / Steven N. Kaplan and Josh Lerner -- The promise and potential of linked employer-employee data for entrepreneurship research / Christopher Goetz, Henry Hyatt, Erika McEntarfer, and Kristin Sandusky. Contributors -- Author index -- Subject index.

We measure job-filling rates and recruiting intensity per vacancy at the national and industry levels from January 2001 to September 2011 using data from the Job Openings and Labor Turnover Survey. Industry-level movements in these variables are at odds with implications of the standard matching function in labor search theory but consistent with a generalized function that incorporates an important role for recruiting intensity. Construction makes up less than five percent of employment but accounts for more than 40 percent of the large swings in the job-filling rate during and after the Great Recession.