Gender differential Impact of NERICA adoption on Total Factor Productivity: evidence from Benin Republic
Author
Abstract
Suggested Citation
DOI: 10.22004/ag.econ.212056
Download full text from publisher
References listed on IDEAS
- Andrew Chesher, 2003. "Identification in Nonseparable Models," Econometrica, Econometric Society, vol. 71(5), pages 1405-1441, September.
- David Card & Carlos Dobkin & Nicole Maestas, 2004.
"The Impact of Nearly Universal Insurance Coverage on Health Care Utilization and Health Evidence from Medicare,"
Working Papers
WR-197, RAND Corporation.
- David Card & Carlos Dobkin & Nicole Maestas, 2004. "The Impact of Nearly Universal Insurance Coverage on Health Care Utilization and Health: Evidence from Medicare," NBER Working Papers 10365, National Bureau of Economic Research, Inc.
- V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006.
"Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program,"
Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 521-566, July.
- V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006. "Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program," NBER Working Papers 11939, National Bureau of Economic Research, Inc.
- Guido W. Imbens & Whitney K. Newey, 2009.
"Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity,"
Econometrica, Econometric Society, vol. 77(5), pages 1481-1512, September.
- Guido W. Imbens & Whitney K. Newey, 2002. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," NBER Technical Working Papers 0285, National Bureau of Economic Research, Inc.
- Whitney Newey & Guido Imbens, 2004. "Identification and Estimation of Triangular Simultaneous Equations Models without Additivity," Econometric Society 2004 North American Summer Meetings 594, Econometric Society.
- 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.
- Alberto Abadie & Joshua Angrist & Guido Imbens, 1999. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Working papers 99-16, Massachusetts Institute of Technology (MIT), Department of Economics.
- Adekambi, Souleimane Adeyemi & Diagne, Aliou & Simtowe, Franklin & Biaou, Gauthier, 2009. "The Impact of Agricultural Technology Adoption on Poverty: The case of NERICA rice varieties in Benin," 2009 Conference, August 16-22, 2009, Beijing, China 51645, International Association of Agricultural Economists.
- James J. Heckman & Edward Vytlacil, 2005.
"Structural Equations, Treatment Effects, and Econometric Policy Evaluation,"
Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
- James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects and Econometric Policy Evaluation," NBER Working Papers 11259, National Bureau of Economic Research, Inc.
- James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects and Econometric Policy Evaluation," NBER Technical Working Papers 0306, National Bureau of Economic Research, Inc.
- Richard W. Blundell & James L. Powell, 2004.
"Endogeneity in Semiparametric Binary Response Models,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(3), pages 655-679.
- Richard Blundell & James L. Powell, 2001. "Endogeneity in semiparametric binary response models," CeMMAP working papers CWP05/01, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Richard Blundell & James L. Powell, 2001. "Endogeneity in semiparametric binary response models," CeMMAP working papers 05/01, Institute for Fiscal Studies.
- Lee, Myoung-jae, 2005. "Micro-Econometrics for Policy, Program and Treatment Effects," OUP Catalogue, Oxford University Press, number 9780199267699.
- Joseph G. Altonji & Rosa L. Matzkin, 2005. "Cross Section and Panel Data Estimators for Nonseparable Models with Endogenous Regressors," Econometrica, Econometric Society, vol. 73(4), pages 1053-1102, July.
- Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, January.
- Guido W. Imbens & Jeffrey M. Wooldridge, 2009.
"Recent Developments in the Econometrics of Program Evaluation,"
Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
- Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
- Guido M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.
- Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute of Labor Economics (IZA).
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003.
"Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score,"
Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
- Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," NBER Technical Working Papers 0251, National Bureau of Economic Research, Inc.
- Guido Imbens, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometric Society World Congress 2000 Contributed Papers 1166, Econometric Society.
- David Card & Dean R. Hyslop, 2005.
"Estimating the Effects of a Time-Limited Earnings Subsidy for Welfare-Leavers,"
Econometrica, Econometric Society, vol. 73(6), pages 1723-1770, November.
- David Card & Dean R. Hyslop, 2004. "Estimating the Effects of a Time Limited Earnings Subsidy for Welfare Leavers," NBER Working Papers 10647, National Bureau of Economic Research, Inc.
- Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
- Joshua D. Angrist, 1998.
"Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants,"
Econometrica, Econometric Society, vol. 66(2), pages 249-288, March.
- Joshua D. Angrist, 1995. "Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants," NBER Working Papers 5192, National Bureau of Economic Research, Inc.
- Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
- Charles R. Hulten, 2001. "Total Factor Productivity: A Short Biography," NBER Chapters, in: New Developments in Productivity Analysis, pages 1-54, National Bureau of Economic Research, Inc.
- Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
- Imbens, Guido W & Angrist, Joshua D, 1994.
"Identification and Estimation of Local Average Treatment Effects,"
Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
- Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
- Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
- Ifpri, 2005. "Women: still the key to food and nutrition security," Issue briefs 33, International Food Policy Research Institute (IFPRI).
- Guido W. Imbens & Donald B. Rubin, 1997. "Estimating Outcome Distributions for Compliers in Instrumental Variables Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 555-574.
- David Card & Carlos Dobkin & Nicole Maestas, 2004.
"The Impact of Nearly Universal Insurance Coverage on Health Care Utilization and Health: Evidence from Medicare,"
NBER Working Papers
10365, National Bureau of Economic Research, Inc.
- David Card & Carlos Dobkin & Nicole Maestas, 2004. "The Impact of Nearly Universal Insurance Coverage on Health Care Utilization and Health Evidence from Medicare," Working Papers 197, RAND Corporation.
- Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
- Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2001. "Evaluating the employment impact of a mandatory job search assistance program," IFS Working Papers W01/20, Institute for Fiscal Studies.
- Joseph Hotz, V. & Imbens, Guido W. & Mortimer, Julie H., 2005. "Predicting the efficacy of future training programs using past experiences at other locations," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 241-270.
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.- Guido W. Imbens & Jeffrey M. Wooldridge, 2009.
"Recent Developments in the Econometrics of Program Evaluation,"
Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
- Guido M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.
- Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
- Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute of Labor Economics (IZA).
- Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 2011. "Impact of Improved Rice Technology (NERICA varieties) on Income and Poverty among Rice Farming Households in Nigeria: A Local Average Treatment Effect (LATE) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-25.
- Halbert White & Karim Chalak, 2013. "Identification and Identification Failure for Treatment Effects Using Structural Systems," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 273-317, November.
- Peter Hull & Michal Kolesár & Christopher Walters, 2022.
"Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens,"
Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
- Peter Hull & Michal Koles'ar & Christopher Walters, 2022. "Labour by Design: Contributions of David Card, Joshua Angrist, and Guido Imbens," Papers 2203.16405, arXiv.org.
- Huber, Martin, 2019.
"An introduction to flexible methods for policy evaluation,"
FSES Working Papers
504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
- Sokbae Lee & Yoon-Jae Whang, 2009.
"Nonparametric Tests of Conditional Treatment Effects,"
Cowles Foundation Discussion Papers
1740, Cowles Foundation for Research in Economics, Yale University.
- Sokbae (Simon) Lee & Yoon-Jae Whang, 2009. "Nonparametric tests of conditional treatment effects," CeMMAP working papers CWP36/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- James J. Heckman, 2008. "The Principles Underlying Evaluation Estimators with an Application to Matching," Annals of Economics and Statistics, GENES, issue 91-92, pages 9-73.
- Bonou, Alice & Diagne, Aliou & Biaou, Gauthier, 2013. "Agricultural technology adoption and rice varietal diversity: A Local Average Treatment Effect (LATE) Approach for rural Benin," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 158482, African Association of Agricultural Economists (AAAE).
- Heckman, James J., 2010. "The Assumptions Underlying Evaluation Estimators," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
- Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013.
"Inference on Counterfactual Distributions,"
Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2008. "Inference On Counterfactual Distributions," Boston University - Department of Economics - Working Papers Series wp2008-005, Boston University - Department of Economics.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers 05/12, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2013. "Inference on counterfactual distributions," CeMMAP working papers 17/13, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2013. "Inference on counterfactual distributions," CeMMAP working papers CWP17/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers CWP09/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on Counterfactual Distributions," Papers 0904.0951, arXiv.org, revised Sep 2013.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2009. "Inference on counterfactual distributions," CeMMAP working papers 09/09, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Blaise Melly, 2012. "Inference on counterfactual distributions," CeMMAP working papers CWP05/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pereda-Fernández, Santiago, 2023.
"Identification and estimation of triangular models with a binary treatment,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
- Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
- Frolich, Markus, 2007.
"Nonparametric IV estimation of local average treatment effects with covariates,"
Journal of Econometrics, Elsevier, vol. 139(1), pages 35-75, July.
- Frölich, Markus, 2002. "Nonparametric IV Estimation of Local Average Treatment Effects with Covariates," IZA Discussion Papers 588, Institute of Labor Economics (IZA).
- Markus Froelich, 2002. "Nonparametric IV estimation of local average treatment effects with covariates," University of St. Gallen Department of Economics working paper series 2002 2002-19, Department of Economics, University of St. Gallen.
- Carneiro, Pedro & Lee, Sokbae, 2009.
"Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality,"
Journal of Econometrics, Elsevier, vol. 149(2), pages 191-208, April.
- Pedro Carneiro & Sokbae (Simon) Lee, 2009. "Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality," CeMMAP working papers CWP01/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Hsu, Yu-Chin & Huang, Ta-Cheng & Xu, Haiqing, 2023.
"Testing For Unobserved Heterogeneous Treatment Effects With Observational Data,"
Econometric Theory, Cambridge University Press, vol. 39(3), pages 582-622, June.
- Yu-Chin Hsu & Ta-Cheng Huang & Haiqing Xu, 2018. "Testing for Unobserved Heterogeneous Treatment Effects with Observational Data," Papers 1803.07514, arXiv.org, revised Aug 2021.
- Halbert White & Karim Chalak, 2008. "Identifying Structural Effects in Nonseparable Systems Using Covariates," Boston College Working Papers in Economics 734, Boston College Department of Economics.
- Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
- Paul. B. Kenfac Dongmezo & P. N. Mwita & I. R. Kamga Tchwaket, 2018. "Distributive and Quantile Treatment Effects: Imputation Based Estimators Approach," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 7(2), pages 1-3.
- Słoczyński, Tymon, 2012.
"New Evidence on Linear Regression and Treatment Effect Heterogeneity,"
MPRA Paper
39524, University Library of Munich, Germany.
- Sloczynski, Tymon, 2015. "New Evidence on Linear Regression and Treatment Effect Heterogeneity," IZA Discussion Papers 9491, Institute of Labor Economics (IZA).
- Manuel Arellano & Stéphane Bonhomme, 2017.
"Quantile Selection Models With an Application to Understanding Changes in Wage Inequality,"
Econometrica, Econometric Society, vol. 85, pages 1-28, January.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Quantile selection models: with an application to understanding changes in wage inequality," CeMMAP working papers 75/15, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2015. "Quantile selection models: with an application to understanding changes in wage inequality," CeMMAP working papers CWP75/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2016. "Quantile Selection Models with an Application to Understanding Changes in Wage Inequality," Working Papers wp2016_1610, CEMFI.
More about this item
Keywords
Agricultural and Food Policy; Crop Production/Industries;NEP fields
This paper has been announced in the following NEP Reports:- NEP-AGR-2016-05-14 (Agricultural Economics)
- NEP-EFF-2016-05-14 (Efficiency and Productivity)
Statistics
Access and download statisticsCorrections
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:ags:iaae15:212056. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.