Advanced Search
MyIDEAS: Login

Who Benefits from Reducing the Cost of Formality? Quantile Regression Discontinuity Analysis

Contents:

Author Info

  • Tommaso Gabrieli

    ()
    (School of Real Estate & Planning, Henley Business School, University of Reading)

  • Antonio F. Galvao, Jr.

    (University of Iowa)

  • Antonio F. Galvao, Jr.

    (City University London)

Abstract

This paper studies the effects of increasing formality via tax reduction and simplification schemes on micro-firm performance. It uses the 1997 Brazilian SIMPLES program. We develop a simple theoretical model to show that SIMPLES has an impact only on a segment of the micro-firm population, for which the effect of formality on firm performance can be identified, and that can be analyzed along the single dimensional quantiles of the conditional firm revenues. To estimate the effect of formality, we use an econometric approach that compares eligible and non-eligible firms, born before and after SIMPLES in a local interval about the introduction of SIMPLES. We use an estimator that combines both quantile regression and the regression discontinuity identification strategy. The empirical results corroborate the positive effect of formality on microfirms' performance and produce a clear characterization of who benefits from these programs.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.reading.ac.uk/rep/fulltxt/1110.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Henley Business School, Reading University in its series Real Estate & Planning Working Papers with number rep-wp2010-11.

as in new window
Length: 40 pages
Date of creation: Oct 2010
Date of revision:
Handle: RePEc:rdg:repxwp:rep-wp2010-11

Contact details of provider:
Postal: PO Box 218, Whiteknights, Reading, Berks, RG6 6AA
Phone: +44 (0) 118 378 8226
Fax: +44 (0) 118 975 0236
Web page: http://www.henley.reading.ac.uk/
More information through EDIRC

Related research

Keywords: Formality; Micro-firms; Quantile regression; Regression discontinuity;

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Fajnzylber, Pablo & Maloney, William F. & Montes-Rojas, Gabriel V., 2011. "Does formality improve micro-firm performance? Evidence from the Brazilian SIMPLES program," Journal of Development Economics, Elsevier, vol. 94(2), pages 262-276, March.
  2. Frandsen, Brigham R. & Frölich, Markus & Melly, Blaise, 2012. "Quantile treatment effects in the regression discontinuity design," Journal of Econometrics, Elsevier, vol. 168(2), pages 382-395.
  3. David Kaplan & Eduardo Piedra & Enrique Seira, 2007. "Are Burdensome Registration Procedures an Important Barrier on Firm Creation? Evidence from Mexico," Working Papers 0701, Centro de Investigacion Economica, ITAM.
  4. McKenzie, David J & Woodruff, Christopher, 2006. "Do Entry Costs Provide an Empirical Basis for Poverty Traps? Evidence from Mexican Microenterprises," Economic Development and Cultural Change, University of Chicago Press, vol. 55(1), pages 3-42, October.
  5. Sergio Firpo, 2007. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 75(1), pages 259-276, 01.
  6. Mandelman, Federico S. & Montes-Rojas, Gabriel V., 2009. "Is Self-employment and Micro-entrepreneurship a Desired Outcome?," World Development, Elsevier, vol. 37(12), pages 1914-1925, December.
  7. Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
  8. Wilbert van der Klaauw, 2002. "Estimating the Effect of Financial Aid Offers on College Enrollment: A Regression-Discontinuity Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(4), pages 1249-1287, November.
  9. Andrew Chesher, 2005. "Nonparametric Identification under Discrete Variation," Econometrica, Econometric Society, vol. 73(5), pages 1525-1550, 09.
  10. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-09, January.
  11. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  12. Klarita Gerxhani, 1999. "Informal Sector in Developed and less Developed Countries: A Literature Survey," Tinbergen Institute Discussion Papers 99-083/2, Tinbergen Institute.
  13. Andrew Chesher, 2003. "Identification in Nonseparable Models," Econometrica, Econometric Society, vol. 71(5), pages 1405-1441, 09.
  14. Aureo de Paula & Jose A. Scheinkman, 2007. "The Informal Sector, Second Version," PIER Working Paper Archive 07-035, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 17 Oct 2007.
  15. Rauch, James E., 1991. "Modelling the informal sector formally," Journal of Development Economics, Elsevier, vol. 35(1), pages 33-47, January.
  16. Jose Scheinkman & Aureo de Paula, 2007. "The Informal Sector," 2007 Meeting Papers 117, Society for Economic Dynamics.
  17. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, October.
  18. Maloney, William F, 1999. "Does Informality Imply Segmentation in Urban Labor Markets? Evidence from Sectoral Transitions in Mexico," World Bank Economic Review, World Bank Group, vol. 13(2), pages 275-302, May.
  19. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
  20. Yannis Bilias & Roger Koenker, 2001. "Quantile regression for duration data: A reappraisal of the Pennsylvania Reemployment Bonus Experiments," Empirical Economics, Springer, vol. 26(1), pages 199-220.
  21. Klarita G�rxhani, 2004. "The Informal Sector in Developed and Less Developed Countries: A Literature Survey," Public Choice, Springer, vol. 120(3_4), pages 267-300, 09.
  22. Omar Arias & Kevin F. Hallock & Walter Sosa Escudero, 1999. "Individual Heterogeneity in the Returns to Schooling: Instrumental Variables Quantile Regression using Twins Data," Department of Economics, Working Papers 016, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
  23. Kaplan, David S. & Piedra, Eduardo & Seira, Enrique, 2011. "Entry regulation and business start-ups: Evidence from Mexico," Journal of Public Economics, Elsevier, vol. 95(11), pages 1501-1515.
  24. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, 01.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Basu, Arnab K. & Chau, Nancy & Siddique, Zahra, 2011. "Tax Evasion, Minimum Wage Non-Compliance and Informality," IZA Discussion Papers 6228, Institute for the Study of Labor (IZA).

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:rdg:repxwp:rep-wp2010-11. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ed Quick).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.