Do lower yielding farmers benefit from Bt corn? Evidence from instrumental variable quantile regressions
There have been serious questions about whether lower-yielding farmers in developing countries, who are typically poor smallholders, benefit from genetically-modified crops like Bacillus thuringensis (Bt) corn. This article examines this issue by estimating the heterogeneous impacts of Bt corn adoption at different points of the yield distribution using farm-level survey data from the Philippines. A recently developed estimation technique called instrumental variable quantile regression (IVQR) is used to assess the heterogeneous yield effects of Bt corn adoption and at the same time address potential selection bias that usually plague impact assessment of agricultural technologies. We find that the positive yield impact of Bt corn in the Philippines tend to be more strongly felt by farmers at the lower end of the yield distribution. This result suggests that Bt corn could be a “pro-poor” technology since most of the lower-yielding farmers in the Philippines are poor smallholders with low incomes.
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- John A. Bishop & Feijun Luo & Fang Wang, 2005. "Economic transition, gender bias, and the distribution of earnings in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 239-259, 04.
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009.
"Dealing with limited overlap in estimation of average treatment effects,"
Biometrika Trust, vol. 96(1), pages 187-199.
- Hotz, V. Joseph & Crump, Richard K. & Mitnik, Oscar A. & Imbens, Guido, 2009. "Dealing with Limited Overlap in Estimation of Average Treatment Effects," Scholarly Articles 3007645, Harvard University Department of Economics.
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2004. "Dealing with Limited Overlap in Estimation of Average Treatment Effects," Working Papers 0716, University of Miami, Department of Economics, revised 12 Jun 2007.
- Huang, Jikun & Hu, Ruifa & Rozelle, Scott & Qiao, Fangbin & Pray, Carl E., 2002. "Transgenic varieties and productivity of smallholder cotton farmers in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 46(3), September.
- Hausman, Jerry, 2015.
"Specification tests in econometrics,"
Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
- Atella, Vincenzo & Pace, Noemi & Vuri, Daniela, 2008.
"Are employers discriminating with respect to weight?: European Evidence using Quantile Regression,"
Economics & Human Biology,
Elsevier, vol. 6(3), pages 305-329, December.
- Vincenzo Atella & Noemi Pace & Daniela Vuri, 2008. "Are employers discriminating with respect to weight? European Evidence using Quantile Regression," CEIS Research Paper 123, Tor Vergata University, CEIS, revised 14 Jul 2008.
- Fernandez-Cornejo, Jorge & Li, Jiayi, 2005. "The Impacts of Adopting Genetically Engineered Crops in the USA: The Case of Bt Corn," 2005 Annual meeting, July 24-27, Providence, RI 19318, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- George L. Wehby & Jeffrey C. Murray & Eduardo E. Castilla & Jorge S. Lopez-Camelo & Robert L. Ohsfeldt, 2009. "Quantile effects of prenatal care utilization on birth weight in Argentina," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1307-1321.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Victor Chernozhukov & Christian Hansen, 2004. "The Effects of 401(K) Participation on the Wealth Distribution: An Instrumental Quantile Regression Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 735-751, August.
- William Rogers, 1993. "Quantile regression standard errors," Stata Technical Bulletin, StataCorp LP, vol. 2(9).
- Bhavani Shankar & Colin Thirtle, 2005. "Pesticide Productivity and Transgenic Cotton Technology: The South African Smallholder Case," Journal of Agricultural Economics, Wiley Blackwell, vol. 56(1), pages 97-116.
- Mendoza, Meyra Sebello & Rosegrant, Mark W., 1995. "Pricing behavior in Philippine corn markets: implications for market efficiency," Research reports 101, International Food Policy Research Institute (IFPRI).
- Mahmut Yasar & Carl H. Nelson & Roderick Rejesus, 2006.
"Productivity and Exporting Status of Manufacturing Firms: Evidence from Quantile Regressions,"
Review of World Economics (Weltwirtschaftliches Archiv),
Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 142(4), pages 675-694, December.
- Mahmut Yasar & Carl H. Nelson & Roderick Rejesus, 2003. "Productivity and Exporting Status of Manufacturing Firms: Evidence from Quantile Regressions," Emory Economics 0323, Department of Economics, Emory University (Atlanta).
- Qaim, Matin & De Janvry, Alain, 2005. "Bt cotton and pesticide use in Argentina: economic and environmental effects," Environment and Development Economics, Cambridge University Press, vol. 10(02), pages 179-200, May.
- Alberto Abadie & Joshua Angrist & Guido Imbens, 1999.
"Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings,"
99-16, Massachusetts Institute of Technology (MIT), Department of Economics.
- Alberto Abadie & Joshua Angrist & Guido Imbens, 2002. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Econometrica, Econometric Society, vol. 70(1), pages 91-117, January.
- Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, 01.
- Evangelos M. Falaris, 2004.
"A Quantile Regression Analysis of Wages in Panama,"
04-01, University of Delaware, Department of Economics.
- Qaim, Matin, 2003. "Bt Cotton in India: Field Trial Results and Economic Projections," World Development, Elsevier, vol. 31(12), pages 2115-2127, December.
- 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.
- Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, 01.
- Gerpacio, Roberta V. & Labios, Jocelyn D. & Labios, Romeo V. & Diangkinay, Emma I., 2004. "Maize in the Philippines: Production Systems, Constraints, and Research Priorities," Maize Production Systems Papers 7650, CIMMYT: International Maize and Wheat Improvement Center.
- Bhavani Shankar & Richard Bennett & Stephen Morse, 2008. "Production risk, pesticide use and GM crop technology in South Africa," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2489-2500.
- José Benjamin Falck-Zepeda & Greg Traxler & Robert G. Nelson, 2000. "Surplus Distribution from the Introduction of a Biotechnology Innovation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 360-369.
- Matin Qaim, 2009. "The Economics of Genetically Modified Crops," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 665-694, 09.
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