12,273 research outputs found
Firm Entry, Firm Exit, And Urban-Biased Growth
We introduce a taxonomy that classifies industries using three criteria: net growth in the number of firms; the interrelationship between firm entry and firm exit; and the degree of urban-bias in industry growth. We show that in 9 of 15 two-digit NAICS industries investigated, there is evidence of urban bias consistent with a comparative advantage to starting a business in urban markets. The urban advantage is due primarily to faster firm entry rates. Urban and rural firms have similar firm exit rates, consistent with a presumption that there are equal expected profit rates conditional on entry across markets. Urban areas grow faster because they induce faster firm entry and not because urban firms are more likely to succeed.Entry – Exit Pattern; Taxonomy; Urban-Bias; Expansion; Churning; Entrepreneurship; Economic Development
Stopping Start-Ups: How The Business Cycle Affects Entrepreneurship
This study analyzes whether economic conditions at the time of labor market entry affect entrepreneurship, using difference in business start-ups between cohorts of college students graduating in boom or bust economic conditions. Those graduating during an economic bust tend to delay their business start-ups relative to boom period graduates by about two years. Our results are consistent with additional findings that higher unemployment rates at time of graduation significantly delay the first business start-up across all college graduation cohorts over the 1982-2004 period. The adverse effect of a bust is temporary, delaying but not preventing self-employment over the life-cycle.Entrepreneurship; boom; bust; occupatiopnal choice; survivor analysis; business cycle; cohort
Firm Entry and Exit in Iowa, 1992 - 2004
This paper uses the pattern of firm entry and exit to develop a classification system for industries. The classifications include urban-rural bias; long-term growth; and firm survival patterns. The first captures the fact that sector-specific economic growth may be favored in urban areas for some industries and may benefit from low population density for others. Some industries have experienced long-term expansion in firm numbers while others have experienced a decline. Finally, some industries are characterized by high rates of both entry and exit while others have low rates of both. A taxonomy classifying industries according to those three criteria is developed in this paper. The taxonomy is applied to the Iowa subset of the National Establishment Time-Series (NETS) database over the period from 1992 to 2004. County level entry and exit rates are shown to be positively correlated across nearly all 2 digit NAICS code industries. Industry growth is found to be biased against rural areas. Not all of the industries experienced expansion or have a positive net entry rate. Entry of new firms replaces old incumbent firms in each industry but to different degrees. Understanding firm entry - exit pattern can help design customized policies of fostering expansion of specific industries in Iowa according to their location bias, industry growth patterns and development dynamics.Taxonomy; Expansion; Churning; Entrepreneurship; Economic Development; entry-exit pattern; location bias
After They Graduate: An Overview of the Iowa State University Alumni Survey
This report provides a descriptive overview of the Iowa State University Alumni Survey. In late 2007, 25,000 Iowa State University alumni who received bachelor's degree between 1982 and 2006 were surveyed to obtain information on their career paths, employment status, further education, entrepreneurial activities, community engagement and current income. The on-line and written survey resulted in approximately 5,500 valid returns.human capital; career path; bachelor's degree recipients; land-grant university; Entrepreneurship; personal income; community engagement.
A Solvable Sequence Evolution Model and Genomic Correlations
We study a minimal model for genome evolution whose elementary processes are
single site mutation, duplication and deletion of sequence regions and
insertion of random segments. These processes are found to generate long-range
correlations in the composition of letters as long as the sequence length is
growing, i.e., the combined rates of duplications and insertions are higher
than the deletion rate. For constant sequence length, on the other hand, all
initial correlations decay exponentially. These results are obtained
analytically and by simulations. They are compared with the long-range
correlations observed in genomic DNA, and the implications for genome evolution
are discussed.Comment: 4 pages, 4 figure
Social Entrepreneurship: An Overview Of a Public University Alumni Survey
This report presents an overview of social entrepreneurship activities of public university graduates obtained from a survey. Almost 3 percent of respondents had created at least one nonprofit organization. The primary focus of the organizations founded by social entrepreneur respondents was education and youth related causes, with services geared heavily toward local needs. The nonprofit organizations founded to meet these needs were typically small, with one or two paid employees and 5 to 15 volunteers.social entrepreneurship; non-profit enterprises; alumni
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