IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-00616788.html
   My bibliography  Save this paper

Dynamique des profits des micro-entreprises urbaines et genre à Madagascar. Une approche de régressions quantiles

Author

Listed:
  • Jean-Pierre Lachaud

    (Larefi - Laboratoire d'analyse et de recherche en économie et finance internationales - UB - Université de Bordeaux)

Abstract

Based on the Madagascar priority surveys of 2001 and 2005, this research examines the dynamics of profits of urban microenterprises by gender. First, the duality of own account urban labour according to gender is fairly stable over the period 2001-2005, the role of micro-enterprises headed by women being probably more residual in terms of contribution of incomes within the household. In addition, while the earnings of women's micro-enterprises rose, on average, slightly faster than those of the enterprises managed by a man during the period, the reduction of the inequality of the profits is more pronounced for the latter compared to the former. Secondly, regardless of the method of analysis, the differential of profits between micro-enterprises managed by men and those headed by a woman varies according to the distribution of the earnings of the enterprises. First, assuming that the returns of endowments of enterprises and individuals are similar between men and women, the estimation of the profit functions according to quantiles suggests, for example in 2005, that male earnings are higher 26.5 and 54.5 percent, respectively, for 50th and 95th percentiles. On the other hand, the approach of Blinder-Oaxaca - decomposition at the means of variables - and of Machado-Mata - decomposition quantile by quantile -, apprehending two sources of earnings at different points of the profit distribution - returns and endowments -, indicate that the differential of log of earnings between men and women increases with the level of percentiles. Such results support the appropriateness of the quantile regression model in the presence of a strong dispersion of the variable of interest. Thirdly, the approach of quantile regression reveals a significant variation in the contribution of endowments and returns according to percentiles. For example, for 2005, the differential of male and female earnings due to returns is 3.3 and 66.7 percent, respectively, for 10th and 95th percentiles. Conversely, one notes a sharp decline in the contribution of endowments in explaining the difference of the profits between men and women: 93.7 and 30.9 percent, respectively, for 10th and 95th percentiles. In this context, several analytical elements make it possible to apprehend the role of various parameters taken into account, both in terms of returns and endowments.

Suggested Citation

  • Jean-Pierre Lachaud, 2010. "Dynamique des profits des micro-entreprises urbaines et genre à Madagascar. Une approche de régressions quantiles," Working Papers hal-00616788, HAL.
  • Handle: RePEc:hal:wpaper:hal-00616788
    Note: View the original document on HAL open archive server: https://hal.science/hal-00616788
    as

    Download full text from publisher

    File URL: https://hal.science/hal-00616788/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Martin Ravallion & Shaohua Chen & Prem Sangraula, 2007. "New Evidence on the Urbanization of Global Poverty," Population and Development Review, The Population Council, Inc., vol. 33(4), pages 667-701, December.
    2. 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.
    3. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    4. Christophe Nordman & Faly Rakotomanana & Anne-Sophie Robilliard, 2009. "Gender Disparities in the Malagasy Labour Market," Working Papers DT/2009/08, DIAL (Développement, Institutions et Mondialisation).
    5. Stephen G. Donald & David A. Green & Harry J. Paarsch, 2000. "Differences in Wage Distributions Between Canada and the United States: An Application of a Flexible Estimator of Distribution Functions in the Presence of Covariates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(4), pages 609-633.
    6. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    7. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, September.
    8. Nicole M. Fortin & Thomas Lemieux, 1998. "Rank Regressions, Wage Distributions, and the Gender Gap," Journal of Human Resources, University of Wisconsin Press, vol. 33(3), pages 610-643.
    9. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    10. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    11. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    12. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    13. Henley, Andrew & Arabsheibani, G. Reza & Carneiro, Francisco G., 2009. "On Defining and Measuring the Informal Sector: Evidence from Brazil," World Development, Elsevier, vol. 37(5), pages 992-1003, May.
    14. Peter Glick & François Roubaud, 2004. "Export Processing Zone Expansion in an African Country: What are the Labor Market and Gender Impacts?," Working Papers DT/2004/15, DIAL (Développement, Institutions et Mondialisation), revised Dec 2004.
    15. Medeiros, Marcelo & Costa, Joana, 2008. "Is There a Feminization of Poverty in Latin America?," World Development, Elsevier, vol. 36(1), pages 115-127, January.
    16. Jean-Pierre Lachaud, 1995. "Le secteur informel urbain et l'informalisation du travail en Afrique subsaharienne : rhétoriques et réalités - Le cas de la Côte d'Ivoire," Documents de travail 05, Groupe d'Economie du Développement de l'Université Montesquieu Bordeaux IV.
    17. Vijverberg, W., 1988. "Profits From Self-Employment - A Case Study Of Cote D'Ivoire," Papers 43, World Bank - Living Standards Measurement.
    18. House, William J, 1984. "Nairobi's Informal Sector: Dynamic Entrepreneurs or Surplus Labor?," Economic Development and Cultural Change, University of Chicago Press, vol. 32(2), pages 277-302, January.
    19. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    20. Masakure, Oliver & Cranfield, John & Henson, Spencer, 2008. "The Financial Performance of Non-farm Microenterprises in Ghana," World Development, Elsevier, vol. 36(12), pages 2733-2762, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thanh P. Bui & Katsushi S. Imai, 2019. "Determinants of Rural-Urban Inequality in Vietnam: Detailed Decomposition Analyses Based on Unconditional Quantile Regressions," Journal of Development Studies, Taylor & Francis Journals, vol. 55(12), pages 2610-2625, December.
    2. Rahman, Mustafizur & Al-Hasan, Md., 2018. "Male-Female wage gap and informal employment in Bangladesh: A quantile regression approach," MPRA Paper 90131, University Library of Munich, Germany.
    3. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    4. Philippe Van Kerm & Seunghee Yu & Chung Choe, 2016. "Decomposing quantile wage gaps: a conditional likelihood approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(4), pages 507-527, August.
    5. Rita Asplund, 2010. "Sources of Increased Wage Differentials in the Finnish Private Sector," Finnish Economic Papers, Finnish Economic Association, vol. 23(1), pages 43-61, Spring.
    6. Duschl, Matthias & Schimke, Antje & Brenner, Thomas & Luxen, Dennis, 2011. "Firm growth and the spatial impact of geolocated external factors: Empirical evidence for German manufacturing firms," Working Paper Series in Economics 36, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    7. Juan D. Barón & Deborah A. Cobb‐Clark, 2010. "Occupational Segregation and the Gender Wage Gap in Private‐ and Public‐Sector Employment: A Distributional Analysis," The Economic Record, The Economic Society of Australia, vol. 86(273), pages 227-246, June.
    8. Joachim Wagner, 2014. "Exports, foreign direct investments and productivity: are services firms different?," The Service Industries Journal, Taylor & Francis Journals, vol. 34(1), pages 24-37, January.
    9. Luisa Alamá & Emili Tortosa-Ausina, 2012. "Bank Branch Geographic Location Patterns in S pain: Some Implications for Financial Exclusion," Growth and Change, Wiley Blackwell, vol. 43(3), pages 505-543, September.
    10. Bedaso, Fenet Jima, 2024. "Occupational Segregation and the Gender Wage Gap: Evidence from Ethiopia," GLO Discussion Paper Series 1393, Global Labor Organization (GLO).
    11. Asplund, Rita, 2009. "Sources of Increased Wage Differentials in the Finnish Private Sector," Discussion Papers 1206, The Research Institute of the Finnish Economy.
    12. Carrillo, Paul & Yezer, Anthony, 2009. "Alternative measures of homeownership gaps across segregated neighborhoods," Regional Science and Urban Economics, Elsevier, vol. 39(5), pages 542-552, September.
    13. Thomschke, Lorenz, 2015. "Changes in the distribution of rental prices in Berlin," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 88-100.
    14. Philippe Van Kerm, 2013. "Generalized measures of wage differentials," Empirical Economics, Springer, vol. 45(1), pages 465-482, August.
    15. Massimiliano Agovino & Antonio Garofalo, 2016. "The Impact of Education on Wage Determination between Workers in Southern and Central-Northern Italy," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 63(1), pages 25-43, March.
    16. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    17. Matthias Duschl & Antje Schimke & Thomas Brenner & Dennis Luxen, 2011. "Firm Growth and the Spatial Impact of Geolocated External Factors – Empirical Evidence for German Manufacturing Firms," Working Papers on Innovation and Space 2011-03, Philipps University Marburg, Department of Geography.
    18. Rubil, Ivica, 2013. "The Great Recession and the Public-Private Wage Gap: Distributional Decomposition Evidence from Croatia 2008-2011," MPRA Paper 46798, University Library of Munich, Germany.
    19. VAN KERM Philippe & YU Seunghee & CHOE Chung, 2014. "Wage differentials between native, immigrant and cross-border workers: Evidence and model comparisons," LISER Working Paper Series 2014-05, Luxembourg Institute of Socio-Economic Research (LISER).
    20. Szilvia Hamori & Anna Lovasz, 2011. "Can a fifty percent increase in public sector wages improve the position of public sector employees in the long run? An assessment of the public-private income gap in Hungary," Budapest Working Papers on the Labour Market 1106, Institute of Economics, Centre for Economic and Regional Studies.

    More about this item

    Keywords

    Micro-entreprises; Régressions quantiles; Profits; Genre; Madagascar; Micro-Enterprises; Quantile Regression; Profit; Gender;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-00616788. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.