The entrepreneurship topic and self-employment area includes reviews of studies examining the effectiveness of interventions that promote individuals’ entrepreneurship and self-employment. CLEAR assessed the strength of causal evidence provided in each study and summarized each study’s design, methods, findings, and the intervention examined.
Entrepreneurship and Self-Employment
Status: Literature reviewed in this topic area currently covers 2005 - 2014.
Synthesis Reports
Synthesis reports look at the research evidence across studies within a topic area. They also highlight gaps in the literature, and suggest areas in which further research is needed.
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 15 of 15
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participating in the Integrated Product Development (IPD) program on dislocated workers’ entrepreneurial activities. The authors used data from a…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of the Small Business Innovation Research (SBIR) program, a competitive program providing small businesses with funding for technological…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in the University of California, Santa Barbara’s Technology Management Program (TMP) on students’ entrepreneurial attitudes. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of attending an undergraduate class as part of the Small Business Institute (SBI), an entrepreneurial program, on students’ entrepreneurial attitudes…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in a Small Business Development Center (SBDC) seminar on intentions to start a business. The author administered a survey of his own…
CLEAR Icon Key
Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.
High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis
Examines the implementation of a program, policy, or intervention.
Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
None
The study found no statistically significant impacts in the outcome domain.
Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable
Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence
The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence
The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.