Labor markets and income generation in rural Argentina
This paper addresses three areas of the rural labor market-employment, labor wages, and agriculture producer incomes. Findings show that the poor allocate a lower share of their labor to farm sectors than the nonpoor do, but still around 70 percent work in agriculture, and the vast majority of rural workers are engaged in the informal sector. When examining nonfarm employment in rural Argentina, findings suggest that key determinants of access to employment and productivity in nonfarm activities are education, skills, land access, location, and gender. Employment analyses show that women have higher probability than men to participate in rural nonfarm activities and they are not confined to low-return employment. Moreover, workers living in poorer regions with land access are less likely to be employed in the nonfarm sector. There is strong evidence that educated people have better prospects in both the farm and nonfarm sectors, and that education is an important determinant of employment in the better-paid nonfarm activities. Labor wage analyses reveal that labor markets pay lower returns to poorer than to richer women and returns to education are increasing with increased level of completed education and income level. And nonfarm income and employment are highly correlated with gender, skills, household size, and education. This analysis also shows a rather heterogeneous impact pattern of individual characteristics across the income distribution, but education is important for all levels of income. Agricultural producer income analyses reveal that producers'income monotonically increases with land size and with completed education level, and positively correlates with road access and use of electricity, fertilizer, and irrigation. Finally, farms operated by women are slightly more productive than farms operated by men.
|Date of creation:||01 Dec 2006|
|Contact details of provider:|| Postal: 1818 H Street, N.W., Washington, DC 20433|
Phone: (202) 477-1234
Web page: http://www.worldbank.org/
More information through EDIRC
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.:
- Heckman, James J., 2000.
"Policies to foster human capital,"
Research in Economics,
Elsevier, vol. 54(1), pages 3-56, March.
- James J. Heckman, 1999. "Policies to Foster Human Capital," NBER Working Papers 7288, National Bureau of Economic Research, Inc.
- James Heckman, 2000. "Policies to Foster Human Capital," Working Papers 0028, Harris School of Public Policy Studies, University of Chicago.
- James J. Heckman, 2000. "Policies to Foster Human Capital," JCPR Working Papers 154, Northwestern University/University of Chicago Joint Center for Poverty Research.
- Levy, Frank & Murnane, Richard J, 1992. "U.S. Earnings Levels and Earnings Inequality: A Review of Recent Trends and Proposed Explanations," Journal of Economic Literature, American Economic Association, vol. 30(3), pages 1333-1381, September.
- Finan, Frederico & Sadoulet, Elisabeth & de Janvry, Alain, 2005.
"Measuring the poverty reduction potential of land in rural Mexico,"
Journal of Development Economics,
Elsevier, vol. 77(1), pages 27-51, June.
- Finan, Frederico & Sadoulet, Elisabeth & de Janvry, Alain, 2002. "Measuring the poverty reduction potential of land in rural Mexico," CUDARE Working Paper Series 983, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
- Finan, Frederico & Sadoulet, Elisabeth & de Janvry, Alain, 2002. "Measuring the Poverty Reduction Potential of Land in Rural Mexico," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6xg1q0dg, Department of Agricultural & Resource Economics, UC Berkeley.
- Schultz, T.P. & Mwabu, G., 1995.
"Education Returns Across Quantiles of the Wage Function: Alternative Explanation for Returns to Education by Race in South Africa,"
744, Yale - Economic Growth Center.
- Mwabu, Germano & Schultz, T Paul, 1996. "Education Returns across Quantiles of the Wage Function: Alternative Explanations for Returns to Education by Race in South Africa," American Economic Review, American Economic Association, vol. 86(2), pages 335-339, May.
- 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.
- Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001.
"Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data,"
Springer, vol. 26(1), pages 7-40.
- 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.
- Lanjouw, Jean O. & Lanjouw, Peter, 2001.
"The rural non-farm sector: issues and evidence from developing countries,"
Agricultural Economics of Agricultural Economists,
International Association of Agricultural Economists, vol. 26(1), October.
- Lanjouw, Jean O. & Lanjouw, Peter, 2001. "The rural non-farm sector: issues and evidence from developing countries," Agricultural Economics, Blackwell, vol. 26(1), pages 1-23, October.
- N. Gregory Mankiw & David Romer & David N. Weil, 1992.
"A Contribution to the Empirics of Economic Growth,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 107(2), pages 407-437.
- Estanislao Gacitua-Mario & Quentin Wodon, 2001. "Measurement and Meaning : Combining Quantitative and Qualitative Methods for the Analysis of Poverty and Social Exclusion in Latin America," World Bank Publications, The World Bank, number 14035.
When requesting a correction, please mention this item's handle: RePEc:wbk:wbrwps:4095. 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: (Roula I. Yazigi)
If references are entirely missing, you can add them using this form.