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Erschienen in: Small Business Economics 2/2011

01.02.2011

Racial differences in self-employment exits

verfasst von: Taehyun Ahn

Erschienen in: Small Business Economics | Ausgabe 2/2011

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Abstract

Using detailed work history data in the 1979 National Longitudinal Survey of Youth, I investigate the reasons behind the racial gap in self-employment. My analysis of an “age uniform” sample of men, all of whom are observed from age 22 to 40 years, reveals that racial differences in cross-sectional self-employment rates are largely due to the fact that minority workers’ self-employment spells are relatively short-lived. Moreover, I find that minority workers’ relatively high exit rates are driven primarily by transitions to nonemployment. Estimates from a multinomial logit model of self-employment exits suggest that minority workers’ weak attachment to the labor market prior to entering self-employment is an important determinant of their transition from self-employment to nonemployment, while lack of prior industry and self-employment experience contributes to minorities’ transitions to wage employment. When I assign blacks and Hispanics the same (mean) work histories as whites, the predicted black–white gap in the first-year self-employment survival rate decreases by 31% and the Hispanic–white gap decreases by 14%.

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Fußnoten
1
They define an established business as one that has paid wages or profits for more than 42 months.
 
2
The 4-week criterion that distinguishes between transitions to nonemployment and wage employment is based on Royalty (1998). While choosing this 4-week interval in determining types of transitions may seem somewhat arbitrary, using different intervals (e.g., from 1 week to 3 months) did not change the estimated results in any important way.
 
3
From 2002 onward, in addition to the class of worker question, respondents were also asked a series of questions that determine the type of job (traditional, nontraditional or self-employed). To maintain comparability across years, I ignore this additional information and use the class of worker definition of self-employment for all years.
 
4
Class of worker information is missing for 12.6% (4,332) of the 34,251 jobs reported by my 4,036 sample members between ages 22 and 40 years. I am able to impute self-employment status for 487 of those missing cases; the remaining 3,845 jobs are dropped from the sample. The descriptive statistics and estimated parameters were virtually unaffected by eliminating those 487 imputed cases.
 
5
The variable on the time spent in nonemployment is to measure the degree of attachment to the labor market prior to the current self-employment spell. Hence, the case with a long spell of nonemployment and the case with frequent nonemployment can be treated equally as representing weak attachment to the labor market.
 
6
Detailed information on personal assets is only available from 1985 onward in the NLSY79. Thus, I impute net assets for the years before 1985 with predicted values based on a person-specific asset-year equation. The asset measure is deflated by the CPI-U and expressed in hundreds of thousands of 2002 US dollars.
 
7
Given that the work history variables are key to my analysis, I interact each of them with both race/ethnicity dummies regardless of the statistical significance of the estimated coefficients.
 
8
For jobs that start before age 22 years, actual starting date is used. For jobs that end before the last interview, true duration is used. If the job is right-censored, the last interview date is used as the ending date for Table 4 only.
 
9
The predicted 1-year survival (SE-to-SE) probabilities in Table 6 are lower than the sample transition rates in Table 1. Part of the difference between the conditional and unconditional predictions is due to the fact that both SE-to-NE and SE-to-WE transition probabilities decrease with years in the current self-employment job (i.e., reflect negative duration dependence) as shown by the coefficient estimates for duration dummies in Table 7. As a result, the unconditional probability of 1-year survival is higher than the predicted probability of 1-year survival conditioned on a worker having become self-employed in the current year.
 
10
In making these computations, I set all other covariates, including the three work history variables, equal to the race/ethnicity-specific group means or modes.
 
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Metadaten
Titel
Racial differences in self-employment exits
verfasst von
Taehyun Ahn
Publikationsdatum
01.02.2011
Verlag
Springer US
Erschienen in
Small Business Economics / Ausgabe 2/2011
Print ISSN: 0921-898X
Elektronische ISSN: 1573-0913
DOI
https://doi.org/10.1007/s11187-009-9209-3

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