The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Teaching Entrepreneurship: Impact of Business Training on Microfinance Clients and Institutions
Abstract
Most academic and development policy discussions about microentrepreneurs focus on credit constraints and assume that subject to those constraints, the entrepreneurs manage their business optimally. Yet the self-employed poor rarely have any formal training in business skills. A growing number of microfinance organizations are attempting to build the human capital of microentrepreneurs in order to improve the livelihood of their clients and help further their mission of poverty alleviation. Using a randomized control trial, we measure the marginal impact of adding business training to a Peruvian group lending program for female microentrepreneurs. Treatment groups received thirty- to sixty-minute entrepreneurship training sessions during their normal weekly or monthly banking meeting over a period of one to two years. Control groups remained as they were before, meeting at the same frequency but solely for making loan and savings payments. We find little or no evidence of changes in key outcomes such as business revenue, profits, or employment. We nevertheless observed business knowledge improvements and increased client retention rates for the microfinance institution.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Experimental Analysis of Neighborhood Effects
Kling, J. R., Liebman, J. B., & Katz, L. F. (2007) · Econometrica · doi:10.1111/j.1468-0262.2007.00733.x · Cited by 2,719
Duflo, E. (2001) · American Economic Review · doi:10.1257/aer.91.4.795 · Cited by 1,940
Cited by
Women Empowerment and Economic Development
Duflo, E. (2012) · Journal of Economic Literature · doi:10.1257/jel.50.4.1051 · Cited by 2,978
Does Management Matter? Evidence from India *
Bloom, N., Eifert, B., Mahajan, A., McKenzie, D., & Roberts, J. (2013) · The Quarterly Journal of Economics · doi:10.1093/qje/qjs044 · Cited by 1,418
Beyond baseline and follow-up: The case for more T in experiments
McKenzie, D. (2012) · Journal of Development Economics · doi:10.1016/j.jdeveco.2012.01.002 · Cited by 871
In Pursuit of Balance: Randomization in Practice in Development Field Experiments
Bruhn, M., & McKenzie, D. (2009) · American Economic Journal: Applied Economics · doi:10.1257/app.1.4.200 · Cited by 788
The impact of an entrepreneurship education program on entrepreneurial competencies and intention
Sánchez, J. C. (2013) · Journal of Small Business Management · doi:10.1111/jsbm.12025 · Cited by 676
Metadata
- Authors
- Karlan, D., & Valdivia, M.
- Venue
- Review of Economics and Statistics
- Publisher
- MIT Press - Journals
- Published
- 2011-05
- Volume
- 93
- Issue
- 2
- Pages
- 510-527
- ISSN
- 0034-6535 (ISSN-L)
- 1530-9142
- OpenAlex
- W3123071755
- Cited by
- 730
- References
- 2
- FWCI
- 110.58
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.