The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Does formality improve micro-firm performance? Evidence from the Brazilian SIMPLES program
Open accessAbstract
This paper exploits an extensive Brazilian micro-enterprise survey and the 1996 introduction of a business tax reduction and simplification scheme (SIMPLES) to examine three questions. First, do high tax rates and complex tax regulations really constitute a barrier to the formalization of micro-firms? Second, does formalization improve firm performance measured along several dimensions, including revenues, employment and capital stock? Third, what are the channels through which this occurs? We find that SIMPLES led to a significant increase in formality in several dimensions. Moreover, newly created firms that opt for operating formally show higher levels of revenue and profits, employ more workers and are more capital intensive (only for those firms that have employees). The channel through which this occurs is not access to credit or contracts with larger firms. Rather, it appears that the lower cost of contracting labor leads to adopting production techniques that involve a permanent location and a larger paid labor force.
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
Testing for Weak Instruments in Linear IV Regression
Stock, J. H., & Yogo, M. (2005) · Identification and Inference for Econometric Models · doi:10.1017/cbo9780511614491.006 · Cited by 7,211
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. H. (1997) · Econometrica · doi:10.2307/2171753 · Cited by 7,081
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. (1994) · doi:10.3386/t0151 · Cited by 5,302 · cited 3×
“Staiger and Stock (1997) suggest that the rule of thumb for an instrumental variable to be sufficiently strong is to have a first stage F-test value of 10.”
BackgroundIdentification and estimation of local average treatment effects
Imbens, G. W., & Angrist, J. D. (1994) · Econometrica · doi:10.2307/2951620 · Cited by 4,101
Identification and Estimation of Local Average Treatment Effects
Angrist, J., & Imbens, G. (1995) · National Bureau of Economic Research · doi:10.3386/t0118 · Cited by 2,808
Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design
Hahn, J., Todd, P., & Klaauw, W. (2001) · Econometrica · doi:10.1111/1468-0262.00183 · Cited by 2,679
The other path: the invisible revolution in the third world
(1990) · Futures · doi:10.1016/0016-3287(90)90116-y · Cited by 1,984
The Informal Sector in Developed and Less Developed Countries: A Literature Survey
Gërxhani, K. (2004) · Public Choice · doi:10.1023/b:puch.0000044287.88147.5e · Cited by 810
Van Der Klaauw, W. (2002) · International Economic Review · doi:10.1111/1468-2354.t01-1-00055 · Cited by 722
Natural “Natural Experiments” in Economics
Rosenzweig, M. R., & Wolpin, K. I. (2000) · Journal of Economic Literature · doi:10.1257/jel.38.4.827 · Cited by 688
Cited by
Microfinance and Gender: Is There a Glass Ceiling on Loan Size?
Agier, I., & Szafarz, A. (2013) · World Development · doi:10.1016/j.worlddev.2012.06.016 · Cited by 266
Food safety in low and middle-income countries: The evidence through an economic lens
Hoffmann, V., Moser, C., & Saak, A. (2019) · World Development · doi:10.1016/j.worlddev.2019.104611 · Cited by 171
Grimm, M., & Paffhausen, A. L. (2015) · Labour Economics · doi:10.1016/j.labeco.2015.01.003 · Cited by 142
Piza, C., Cravo, T. A., Taylor, L., Gonzalez, L., Musse, I., Furtado, I., Sierra, A. C., & Abdelnour, S. (2016) · Campbell Systematic Reviews: Better Evidence for a Better World · doi:10.4073/csr.2016.1 · Cited by 58
Metadata
- Authors
- Fajnzylber, P., Maloney, W. F., & Montes-Rojas, G. V.
- Venue
- Journal of Development Economics
- Publisher
- Elsevier BV
- Published
- 2011-03
- Volume
- 94
- Issue
- 2
- Pages
- 262-276
- ISSN
- 0304-3878 (ISSN-L)
- OpenAlex
- W2019691422
- Cited by
- 310
- References
- 20
- FWCI
- 29.89
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Does formality improve micro-firm performance? Evidence from the Brazilian SIMPLES program. https://app.cochat.ai/papers/10.1016/j.jdeveco.2010.01.009
- The paper
- Fajnzylber, P., Maloney, W. F., & Montes-Rojas, G. V. (2011). Does formality improve micro-firm performance? Evidence from the Brazilian SIMPLES program. Journal of Development Economics. https://doi.org/10.1016/j.jdeveco.2010.01.009
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.