Who Benefits from Reducing the Cost of Formality? Quantile Regression Discontinuity Analysis
This paper studies the effects of increasing formality via tax reduction and simplification schemes on micro-firm performance. We develop a simple theoretical model that yields two intuitive results. First, low- and high- ability entrepreneurs are unlikely to be affected by a tax reduction policy reform and therefore, this policy has an impact only on a segment of the micro-firm population. Second, the benefits to such reform, as measured by profits and revenues, are increasing in the entrepreneur's ability. Empirically, we estimate the effect of formality on the entire conditional distribution (quantiles) of performance using the 1997 Brazilian SIMPLES program and a rich survey of formal and informal micro-firms. The econometric approach employed compares eligible and non-eligible firms, born before and after SIMPLES in a local interval about the introduction of SIMPLES. Moreover, to carry the estimations, we use an estimator that combines both quantile regression and the regression discontinuity strategies. The empirical results corroborate the positive effect of formality on micro-fims' performance and produce a clear characterization of who benefits from these programs
Year of publication: |
2011
|
---|---|
Authors: | Galvao, Antonio F. |
Other Persons: | Montes-Rojas, Gabriel (contributor) ; Gabrieli, Tommaso (contributor) |
Publisher: |
[2011]: [S.l.] : SSRN |
Saved in:
freely available
Extent: | 1 Online-Ressource (41 p) |
---|---|
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 10, 2011 erstellt |
Other identifiers: | 10.2139/ssrn.1696003 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013132647
Saved in favorites
Similar items by person
-
Who benefits from reducing the cost of formality? : quantile regression discontinuity analysis
Gabrieli, Tommaso, (2010)
-
Gabrieli, Tommaso, (2012)
-
Bayesian endogeneity bias modeling
Montes-Rojas, Gabriel, (2014)
- More ...