The Flow Approach to Labor Markets: New Data Sources and Micro-Macro Links

New data sources and products developed by the Bureau of Labor Statistics and the Bureau of the Census highlight the fluid character of U.S. labor markets. Private-sector job creation and destruction rates average nearly 8% of employment per quarter. Worker flows in the form of hires and separations are more than twice as large. The data also underscore the lumpy nature of micro-level employment adjustments. More than two-thirds of job destruction occurs at establishments that shrink by more than 10% within the quarter, and more than one-fifth occurs at those that shut down. Our study also uncovers highly nonlinear relationships of worker flows to employment growth and job flows at the micro level. These micro relations interact with movements over time in the cross-sectional density of establishment growth rates to produce recurring cyclical patterns in aggregate labor market flows. Cyclical movements in the layoffs-separation ratio, for example, and the propensity of separated workers to become unemployed reflect distinct micro relations for quits and layoffs. A dominant role for the job-finding rate in accounting for unemployment movements in mild downturns and a bigger role for the job-loss rate in severe downturns reflect distinct micro relations for hires and layoffs.

Recruiting Intensity during and after the Great Recession: National and Industry Evidence

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. Construction makes up less than 5 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. Leisure & Hospitality accounts for nearly a quarter of the large drop in recruiting intensity during the Great Recession. We show that industry-level movements in job-filling rates and recruiting intensity are at odds with the implications of the standard matching function in labor search theory but consistent with a generalized function that incorporates an important role for recruiting intensity per vacancy.

The Establishment-Level Behavior of Vacancies and Hiring

This paper is the first to study vacancies, hires, and vacancy yields at the establishment level in the Job Openings and Labor Turnover Survey, a large sample of U.S. employers. To interpret the data, we develop a simple model that identifies the flow of new vacancies and the job-filling rate for vacant positions. The fill rate moves counter to aggregate employment but rises steeply with employer growth rates in the cross section. It falls with employer size, rises with worker turnover rates, and varies by a factor of four across major industry groups. We also develop evidence that the employer-level hiring technology exhibits mild increasing returns in vacancies, and that employers rely heavily on other instruments, in addition to vacancies, as they vary hires. Building from our evidence and a generalized matching function, we construct a new index of recruiting intensity (per vacancy). Recruiting intensity partly explains the recent breakdown in the standard matching function, delivers a better-fitting empirical Beveridge Curve, and accounts for a large share of fluctuations in aggregate hires. Our evidence and analysis provide useful inputs for assessing, developing and calibrating theoretical models of search, matching and hiring in the labor market.

The establishment-level behavior of vacancies and hiring

The authors study vacancies, hires, and vacancy yields (success rate in generating hires) in the Job Openings and Labor Turnover Survey, a large representative sample of U.S. employers. The authors also develop a simple framework that identifies the monthly flow of new vacancies and the job-filling rate for vacant positions, the employer counterpart to the job-finding rate for unemployed workers. The job-filling rate moves counter to employment at the aggregate level but rises steeply with employer growth rates in the cross section. It falls with employer size, rises with the worker turnover rate, and varies by a factor of four across major industry groups. The authors' analysis also indicates that more than 1 in 6 hires occur without benefit of a vacancy, as defined by JOLTS. These findings provide useful inputs for assessing, developing, and calibrating theoretical models of search, matching, and hiring in the labor market.Employment ; Labor market

Plant-Level Adjustment and Aggregate Investment Dynamics

macroeconomics, Plant-Level Adjustment, Aggregate Investment Dynamics

The Spread of ICT and Productivity Growth: Is Europe really lagging behind in the New Economy?

The economic performance of some OECD countries over the past decade, most notably the United States, has renewed the interest of analysts and policy makers on economic growth and on how policy can eventually support it. This report sheds some light on this issue by relying on harmonised macro and sectoral data for OECD countries and a unique cross-country firm-level dataset. This allows to address a number of issues. What are the key factors explaining differences in output and productivity performances across OECD countries? What is the role of ICT-producing industry and the ICT-driven capital deepening in explaining the different growth patterns of countries? Does the adoption of IC technologies require organisational changes and/or changes in the composition of inputs? What is the contribution of new firms to overall productivity growth in general and in ICT-related sectors? Do ICT-industries show stronger firm and employment turnover rates? Is there any relationship between the spread of ICT and institutional features of the product and labour markets? For example, do stringent regulations on start-ups (as well as those affecting incumbents) affect the diffusion of ICT? Do differences in labour market policy and institutions explain different patterns of adoption of new technologies?Macro data clearly point to widening disparities in growth performance across the OECD countries, even on the basis of cyclically-adjusted series. These disparities are related to differences in labour utilisation rather than to widening differences in labour productivity growth rates: i.e. higher growth rates in output per capita observed in a number of countries have been accompanied by improvements in the utilisation of labour, while sluggish employment in others (mainly in continental Europe) have not been fully compensated by higher labour productivity growth, thereby leading to a further slowdown in output growth. However, observed changes in growth patterns in some countries are also the result of the information and communication technology (ICT) revolution. In particular, it is argued that those countries that have developed an ICT-producing industry -- and/or where other industries have been quick in adopting highly productive ICT equipment -- have been able to shift to higher output and productivity growth paths. In this respect, the United States and some smaller countries (e.g. Australia, Ireland) have benefited the most from this ICT revolution, while most large European economies are still lagging behind. The sectoral and micro analysis also reveals important cross-country differences. The U.S. economy seems to be better able to acquire comparative advantage in rapidly growing ICT market segments than most of its trading partners. At the micro level, there seems to be a different degree of "market experimentation" in the United States compared with Europe, even if aggregate firm turnover rates are similar. The findings suggest that in the U.S. new firms tend to be smaller (relative to average incumbent) and less productive when compared with their European counterparts, but, if successful, they also tend to grow much more rapidly.The micro evidence reported in the paper offers additional elements in our discussion of a growth-enhancing policy setting. Our results seem to suggest that certain institutional and regulatory settings may reduce the degree of market experimentation of new firms. This, in turn, could lower the speed with which a country shifts to a new technology, thereby offering an interpretation to the observed differences in innovation and adoption across the Atlantic. For example, low administrative costs of start-ups and not unduly strict regulations on labour adjustments in the United States, may stimulate potential entrepreneurs to start on a small scale, test the market and, if successful with their business plan, expand rapidly to reach the minimum efficient scale. In contrast, higher entry and adjustment costs in Europe may stimulate a pre-market selection of business plans with less market experimentation. Our econometric results lend some support to these considerations. By using pooled data (country, industry and time) we find that stringent regulatory settings in the product and labour markets contribute to hinder innovation activity and the adoption of leading technologies

Job Growth in Early Transition: Comparing Two Paths

Small start-up firms are the engine of job creation in early transition and yet little is known about the characteristics of this new sector. We seek to identify patterns of job growth in this sector in terms of niches left from central planning and ask about differences in job creation across two different transition economies: Estonia, which experienced rapid destruction of the pre-existing firms, and the Czech Republic, which reduced the old sector gradually. We find job growth within industries to be quantitatively more important than job growth due to across-industry reallocation. Furthermore, the industrial composition of startups is strikingly similar in the two countries. We offer convergence to "western" industry firm-size distributions as an explanation. We also find regularities in wage evolution across new and old firms, including small differences in job quality across the two transition paths.http://deepblue.lib.umich.edu/bitstream/2027.42/39888/3/wp503.pd

Adjusted Estimates of Worker Flows and Job Openings in JOLTS

We develop and implement a method to improve estimates of worker flows and job openings based on the Job Openings and Labor Turnover Survey (JOLTS). Our method involves reweighting the cross-sectional density of employment growth rates in JOLTS to match the corresponding density in the comprehensive Business Employment Dynamics (BED) data. To motivate our work, we compare JOLTS to other data sources and document large discrepancies with respect to aggregate employment growth, the magnitude of worker flows, and the cross-sectional density of establishment growth rates. We also discuss issues related to JOLTS sample design and nonresponse corrections. Our adjusted statistics for hires and separations exceed the published statistics by about one-third. The adjusted layoff rate is more than 60 percent greater than the published layoff rate. Time-series properties are also affected. For example, hires exhibit more volatility than separations in the published statistics, but the reverse holds in the adjusted statistics. The impact of our adjustment methodology on estimated job openings is more modest, raising the vacancy rate by about 8 percent.

Business Volatility, Job Destruction, and Unemployment

Unemployment inflows fell from 4 percent of employment per month in the early 1980s to 2 percent or less by the mid 1990s and thereafter. U.S. data also show a secular decline in the job destruction rate and the volatility of firm-level employment growth rates. We interpret this decline as a decrease in the intensity of idiosyncratic labor demand shocks, a key parameter in search and matching models of unemployment. According to these models, a lower intensity of idiosyncratic shocks produces less job destruction, fewer workers flowing through the unemployment pool and less frictional unemployment. To evaluate the importance of this theoretical mechanism, we relate industry-level unemployment flows from 1977 to 2005 to industry-level indicators for the intensity of idiosyncratic shocks. Unlike previous research, we focus on the lower frequency relationship of job destruction and business volatility to unemployment flows. We find strong evidence that declines in the intensity of idiosyncratic labor demand shocks drove big declines in the incidence and rate of unemployment. This evidence implies that the unemployment rate has become much less sensitive to cyclical movements in the job-finding rate.