2021
DOI: 10.1177/05694345211016310
|View full text |Cite
|
Sign up to set email alerts
|

The Treatment Effect of Business Education on the Supply of High School Entrepreneurs in Atlanta and New Orleans

Abstract: Strengthening the pathway to entrepreneurship for high school students could be important in regions of the United States where economic mobility is low. We examine the impact of high school business education on the decision to be a self-employed entrepreneur in two southeastern urban U.S. high schools. We appeal to a potential-outcomes framework to estimate the treatment effect of having taken a business and coding/programming course in high school on actually being a self-employed entrepreneur, and planning… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 49 publications
0
2
0
Order By: Relevance
“…Similar to Elu et al (2019), Price et al (2011), and Price & Surprenant (2022), to parameterize and estimate the treatment effect of being an adherent/member of the NOI, we deploy the Rubin potential outcomes causal framework (Rubin, 2005). As in Imbens (2004), consider a sample characterized by ( Y i, X i, T i), where the Y i are continuous or discrete scalar outcomes for the treated and untreated states of Y(1) and Y(0) respectively, the X i are covariates measuring individual characteristics, and the T i are treatment indicators for whether an individual is an adherent/member of the NOI.…”
Section: Methodsmentioning
confidence: 99%
“…Similar to Elu et al (2019), Price et al (2011), and Price & Surprenant (2022), to parameterize and estimate the treatment effect of being an adherent/member of the NOI, we deploy the Rubin potential outcomes causal framework (Rubin, 2005). As in Imbens (2004), consider a sample characterized by ( Y i, X i, T i), where the Y i are continuous or discrete scalar outcomes for the treated and untreated states of Y(1) and Y(0) respectively, the X i are covariates measuring individual characteristics, and the T i are treatment indicators for whether an individual is an adherent/member of the NOI.…”
Section: Methodsmentioning
confidence: 99%
“…Third, we use the nearest-neighbor matching algorithm to identify colleges operating in other states that are observationally similar to 4-year institutions in Washington. Like Price & Surprenant, 2022, use 4 nearest-neighbor matches using propensity scores given evidence by Imbens, 2004 that matching parameter estimates are robust when selecting between 1 and 4 matches. 6…”
Section: Datamentioning
confidence: 99%