The Impact of Entrepreneurship Education in High School on Long-Term Entrepreneurial Performance
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Citations
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References
The central role of the propensity score in observational studies for causal effects
Causality: models, reasoning, and inference
Mostly Harmless Econometrics: An Empiricist's Companion
Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
Causation and Effectuation: Toward a Theoretical Shift from Economic Inevitability to Entrepreneurial Contingency
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Frequently Asked Questions (11)
Q2. What are the future works in "The impact of entrepreneurship education in high school on long-term entrepreneurial performance" ?
Further research is necessary to determine if these differences are attributable to differences in timespan, age of participants, or the outcome variables studied ( see also Rosendahl Huber et al., 2012 ). Future studies may further this line of research by conducting more in-depth assessments of what actual pedagogical innovations and processes underlie the positive outcomes of programs like JACP ( Weaver et al., 2007 ). Since the authors study a whole population of high school students, they do not believe this induces any serious bias.
Q3. How does PSM reduce bias in the observational data?
PSM does this by reducing two sources of bias in the observational data: bias due to a lack of distribution overlap between treated and control groups and bias due to different density weightings (Heckman et al., 1998).
Q4. What is the effect of JACP participation on long-term income?
In other words, their analysis suggests that JACP participation has apositive effect on subsequent long-term entrepreneurial income, which is as high as 10%.
Q5. What did Detienne and Chandler (2004) use to test entrepreneurial intentions?
Detienne and Chandler (2004) used a Solomon Four-Group Designed experiment with students from a strategic management course and showed that specific skills training can improve individuals’ opportunity identification, notably their ability to generate more ideas and improve the innovativeness of those ideas.
Q6. What is the way to determine whether the results are biased?
As long as this is a random error—that is, as long as it appears with roughly equal probability in the treated and untreated groups—this should not bias the results.
Q7. What did Souitaris et al. (2007) find?
Souitaris et al. (2007) used a pretest–post-test quasi-experimental design to test the effect of an EET directed at science and engineering students, finding that participation raised entrepreneurial attitudes and intentions.
Q8. What is the common educational background for JACP students in the 1990s?
Business administration (D) takes the value 1 if the individual attended a business administration program in high-school, the most common educational background for JACP students in the 1990s.
Q9. What is the effect of JACP participation on the likelihood of an individual starting a firm?
their results show that JACP participation increases the probability that an individual will engage in entrepreneurship by starting a firm and that his or her income from these firms will be higher even when potential self-selection into the program is controlled for.
Q10. What did Mentoor and Friedrich (2007) find in the study?
Mentoor and Friedrich (2007) used a pre-test posttest design to test the effect of a first-year university management course in South Africa on 463 students’ entrepreneurial orientation, but found small effects of the course on entrepreneurial orientations.
Q11. What is the significance of specific human capital in an entrepreneurial setting?
In their meta-analysis, Unger et al. (2011) find that indicators of human capital that are more closely associated to entrepreneurial tasks were more closely related to entrepreneurial success, underscoring the importance of specific human capital.