Caught between scylla and charybdis: Impact estimation issues from the early adoption of gm Maize in honduras

AgBioForum

Volumn 15, Issue 2, 2012, Pages 138-151

  Falck Zepeda, José ^a   Sanders, Arie ^b   Trabanino, Carlos Rogelio ^b   Batallas Huacon, Rolando ^b  

^a INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE   (United States)

^b ZAMORANO UNIVERSITY   (Honduras)

Author keywords

Endogeneity; Herbicide tolerance; Honduras; Insect resistance; Instrumental variables; Maize; Robust regression

Indexed keywords

HEXAPODA; SCYLLA; ZEA MAYS;

EID: 84865786350     PISSN: None     EISSN: 1522936X     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Andrews, K.L. (1980). The whorlworm, Spodopetera frugiperda, in Central America and neighboring areas. Florida Entomologist, 63, 456-467.
2. Arias, F. (2003). Diagnóstico de la cadena agroalimentaria de maíz en Honduras [Diagnosis of agricultural and food production of maize in Honduras] (pp. 182). Zamorano, Honduras: Panamerican Agricultural School.
3. Cohen-Freue, G.V., & Zamar, R.H. (2011). A robust instrumental variables estimator. Manuscript submitted to the Journal of the Royal Statistical Society.
4. Food and Agriculture Organization of the United Nations, Statistics Division (FAOSTAT). (2012). Statistical database on agricultural production. Rome, Italy: Author.
5. Gouse, M., Kirsten, J., Shankar, B., & Thirtle, C. (2005). Bt cotton in KwaZulu Natal: Technological triumph but institutional failure. AgBiotechNet, 7(134), 1-7.
6. Hardaker, J.B., Richardson, J.W., Lien, G., & Schumann, K.D. (2004). Stochastic efficiency analysis with risk aversion bounds: A simplified approach. Australian Journal of Agricultural and Resource Economics, 48, 253-270.
7. Hintze, L.F. (2002). Characteristics, transaction costs, and adoption of modern varieties in Honduras. Unpublished doctoral dissertation, North Carolina State University, Raleigh, North Carolina.
8. Hintze, L.F., Renkow, M., & Sain, G. (2003). Variety characteristics and maize adoption in Honduras (pp. 307-317). San José, Costa Rica: CIMMYT.
9. Huber, P.J. (1981). Robust statistics. New York: John Wiley and Sons.
10. Pratt, J.W. (1964). Risk aversion in the small and in the large. Econometrica, 32(1/2), 122-136.
11. Richardson, J.W., Schumann, K., & Feldman, P. (2004). SIMETAR ©: Simulation for Excel to analyze risk. College Station, TX: Agricultural and Food Policy Center, Texas A&M University.
12. Rousseeuw, P.J., & Leroy, A.M. (1987). Robust regression and outlier detection. New York: Wiley.
13. SAS. (2003). SAS 9.1 for Windows. Cary, NC: SAS Institute, Inc.
14. Trabanino, R. (1998). Guía para el manejo integrado de plagas invertebradas en Honduras [Guidelines for integrated management of invertebrate pests in Honduras]. El Zamorano, Honduras: Zamorano Academia Press.
15. Verardi, V., & Croux, C. (2010). Robust regression in stata (Department of Decision Sciences and Information Management, Publication Number KBI0823). Leuven, Belgium: Katholieke Universiteit Leuven. Available on the World Wide Web: https://lirias.kuleuven.be/bitstream/123456789/202142/1/KBI_0823.pdf.