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Within and Between Firm Changes in Human Capital, Technology, and Productivity Preliminary and incomplete
December 2001
Working Paper Number:
tp-2001-03
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Escaping poverty for low-wage workers The role of employer characteristics and changes
June 2001
Working Paper Number:
tp-2001-02
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Business Success: Factors Leading to Surviving and Closing Successfully
January 2001
Working Paper Number:
CES-01-01
This paper focuses on the startup factors that lead to new firms remaining open, and if they close, the factors leading to whether the owner considered the firm successful at closure. Two independent logit models were developed for closure and success characteristics using the Bureau of the Census' Characteristics of Business Owners (CBO). Business Information Tracking Series (BITS, formerly the LEEM), also from the Bureau of the Census, was used to evaluate business survival rates as the CBO had non-response bias with respect to closure. About half of new employer firms survive at least four years (an estimated one-third of non-employer firms survive this period), and of the firms that closed, owners of about a third felt the firm was successful at closure. Major factors leading to remaining open are having ample capital, having employees, having a good education, and starting for personal reasons (freedom for family life, or wanting to become one's own boss). If the firm closed, major factors leading to owners perceiving the business successful at closure are having no start-up capital or ample capital, having previous ownership experience, and avoiding the retail trade industry. Owners of firms with and without employees had similar rates of believing closed businesses were successful at closure. Owners who were young or started without capital had a higher likelihood of closure but when they closed, they were more likely to consider the firm successful. Gender, race and being older play a small, if any, role in survivability or in owners' perception that the closed firm was successful. Retail trade was the only variable that led to businesses being more likely to close, and more likely to be deemed unsuccessful by the owner at closure.
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Technology Use and Worker Outcomes: Direct Evidence from Linked Employee-Employer Data
August 2000
Working Paper Number:
CES-00-13
We investigate the impact of technology adoption on workers' wages and mobility in U.S. manufacturing plants by constructing and exploiting a unique Linked Employee-Employer data set containing longitudinal worker and plant information. We first examine the effect of technology use on wage determination, and find that technology adoption does not have a significant effect on high-skill workers, but negatively affects the earnings of low-skill workers after controlling for worker-plant fixed effects. This result seems to support the skill-biased technological change hypothesis. We next explore the impact of technology use on worker mobility, and find that mobility rates are higher in high-technology plants, and that high-skill workers are more mobile than their low and medium-skill counterparts. However, our technology-skill interaction term indicates that as the number of adopted technologies increases, the probability of exit of skilled workers decreases while that of unskilled workers increases.
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Differences in Job Growth and Persistence in Services and Manufacturing
March 2000
Working Paper Number:
CES-00-04
Employment flows in services have greatly exceeded those in manufacturing over the recent decade. We examine these differences and their variation over establishment sizes and types. We test three hypotheses which have been offered to explain these differences: (1) that the difference in behavior of single and multi-unit establishments accounts for much of the difference in the net and gross growth rates of jobs in services and manufacturing; (2) that relative wage differences have a disparate effect on employment growth for services and manufacturing, and (3) that the rates of persistence (or retention) of new jobs are higher in multi-unit establishments than in single unit firms, and similar between the sectors after controlling for this. We find that it is primarily the underlying differences in establishment age and size distributions that account for the substantial differences in the average gross and net job flow rates of the two sectors, and that relative wage differences have a similar effect on employment growth in services and manufacturing.
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Gross Job Flows and Firms
November 1999
Working Paper Number:
CES-99-16
This paper extends the work of Dunne, Roberts, and Samuelson (3) and Davis, Haltiwanger, and Schuh (2) on gross job flows among manufacturing plants. Gross job creation, destruction, and reallocation have been shown to be important in understanding the birth, growth, and death of plants, and the relation of plant life cycles to the business cycle. However, little is known about job flows between firms or how job flows among plants occur within firms (corporate restructuring). We use information on company organization from the Longitudinal Research database (LRD) to investigate the relationship between plant-level and firm-level job flows. We document: (1) the fraction of plant-level gross job flows occurring between firms; and (2) gross job flows by the extent of excess job reallocation occurring in firms.
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Job Flow Dynamics in the Service Sector
November 1999
Working Paper Number:
CES-99-14
This paper uses the new comprehensive Longitudinal Establishment and Enterprise Microdata at CES to investigate gross and net job flows for 1990 to 1995 for all establishments in the service sector. After examining the recent shifts in the distribution of employment in non-financial services, from single unit firms to multi-unit firms, and from smaller firms to larger ones, we calculate five year gross and net job flow rates for these various types of establishments. This shows that the increasing share of service employment in large firms is not due to higher growth in larger firms. Seeking the dynamics behind the shift of employment to larger firms, we investigate how job flow rates are related to firm and establishment size, using alternative size classification methods. Gross job flow rates vary inversely with the age of establishments in services, as do net growth rates of surviving establishments, even after controlling for size. To help distinguish among the effects of age, firm size, and establishment size on gross and net job flows in services, multivariate regression analysis is used. We find that all gross job flow rates decline with increasing age of establishments when size and industry differences are controlled. Because the job destruction rate falls faster than the creation rate as age increases, net growth rates increase with age for services as a whole. Gross and net job creation also declines with increasing size of establishments, but destruction rates increase with size when controlling for age and industry differences. Firm size differences contribute little or nothing additional when we control for establishment size and age.
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Are Some Firms Better at IT? Differing Relationships between Productivity and IT Spending
October 1999
Working Paper Number:
CES-99-13
Although recent studies have found a positive relationship between spending on information technology and firm productivity, the magnitude of this relationship has not been as dramatic as one would expect given the anecdotal evidence. Data collected by the Bureau of the Census is analyzed to investigate the relationship between plant-level productivity and spending on IT. This relationship is investigated by separating the manufacturing plants in the sample along two dimensions, total factor productivity and IT spending. Analysis along these dimensions reveals that there are significant differences between the highest and lowest productivity plants. The highest productivity plants tend to spend less on IT while the lowest productivity plants tend to spend more on IT. Although there is support for the idea that lower productivity plants are spending more on IT to compensate for their productivity shortcomings, the results indicate that this is not the only difference. The robustness of this finding is strengthened by investigating changes in productivity and IT spending over time. High productivity plants with the lowest amounts of IT spending tend to remain high productivity plants with low IT spending while low productivity plants with high IT spending tend to remain low productivity plants with high IT spending. The results show that management skill, as measured by the overall productivity level of a firm, is an additional factor that must be taken into consideration when investigating the IT "productivity paradox."
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The Characteristics of Business Owners Database, 1992
May 1999
Working Paper Number:
CES-99-08
This report describes the Characteristics of Business Owners (CBO), 1992 microdata available to researchers at the Center for Economic Studies and the CBO survey. The Bureau of the Census has conducted the 1982, 1987, and 1992 CBOs for the U.S. Small Business Administration, the Minority Business Development Agency, and the general public. For the 1992 CBO, there were three surveys, a sole proprietor survey, an owner survey for each owner in partnerships and S corporations, and a firm survey for each partnership and S corporation. For database purposes, the owner questions on the sole proprietors survey and owner survey were merged, and the firm questions on the sole proprietors survey and firm survey were merged. The owner database has 116,589 records, and the firm survey has 78,147 records. The CBO reports on owners about their background such as owner type (race, and ethnicity), age, education, work experience, veteran status, etc. The CBO reports on firms (with and without employees) about their economic details such as industry, financing, home-based, exporting, franchising, profits, etc. In addition, the CBO was conducted in 1996 on firms in existence in 1992 allowing for some survivability analysis. The CBO over samples women and minority owners to allow researchers to more reliably study these owners. This survey is an extension of the Survey of Minority-Owned Business Enterprises (SMOBE) and Survey of Women-Owned Businesses (WOB) within the economic census. The CBO is available as a report, special tabulations, or microdata for approved researchers.
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MEASURES OF JOB FLOW DYNAMICS IN THE U.S.*
January 1999
Working Paper Number:
CES-99-01
This paper uses the new Longitudinal Establishment and Enterprise Microdata (LEEM) at CES to investigate gross and net job flows for the U. S. economy. Much of the previous work on U.S. job flows has been based on analysis of the Longitudinal Research Database (LRD), which is limited to establishments in the manufacturing sector. The LEEM is the first high-quality, nationwide, comprehensive database for both manufacturing and non-manufacturing that is suitable for measuring annual job flows. We utilize the LEEM data to measure recent gross and net job flows for the entire U. S. economy. We then examine the relationships between firm size, establishment size, and establishment age, and investigate differences resulting from use of two alternative methods for classification of job flows by size of firm and establishment. Cell-based regression analysis is used to help distinguish among the effects of age, firm size, and establishment size on gross and net job flows in existing establishments. We find that gross job flow rates decline with age, and with increasing establishment size when controlling for age differences, whether initial size or mean size classification is utilized. Firm size differences contribute little or nothing additional when establishment size and age are controlled for. However, the relationship of net job growth to business size is very sensitive to the size classification method, even when data and all other methodology are identical. When mean size classification is used, the coefficient on establishment size for net job growth is generally positive, but when initial size is used, this coefficient is negative. These results shed light on some of the apparently conflicting findings in the literature on the relationship between net growth and the size of businesses.
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