Are Matching Funds for Smallholder Irrigation Money Well Spent?
Author
Abstract
Suggested Citation
DOI: 10.31219/osf.io/x5vmz_v1
Download full text from publisher
References listed on IDEAS
- Anderson, Michael L., 2008.
"Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects,"
Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
- Anderson, Michael L, 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt15n8j26f, Department of Agricultural & Resource Economics, UC Berkeley.
- Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
- Ximena V. Del Carpio & Norman Loayza & Gayatri Datar, 2011. "Is Irrigation Rehabilitation Good for Poor Farmers? An Impact Evaluation of a Non‐Experimental Irrigation Project in Peru," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 449-473, June.
- Wooldridge, Jeffrey M., 2007.
"Inverse probability weighted estimation for general missing data problems,"
Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
- Jeffrey M. Wooldridge, 2004. "Inverse probability weighted estimation for general missing data problems," CeMMAP working papers 05/04, Institute for Fiscal Studies.
- Jeffrey M. Wooldridge, 2004. "Inverse probability weighted estimation for general missing data problems," CeMMAP working papers CWP05/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014.
"High-Dimensional Methods and Inference on Structural and Treatment Effects,"
Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 29-50, Spring.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2013. "High dimensional methods and inference on structural and treatment effects," CeMMAP working papers 59/13, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2013. "High dimensional methods and inference on structural and treatment effects," CeMMAP working papers CWP59/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Zhu, Mu & Ghodsi, Ali, 2006. "Automatic dimensionality selection from the scree plot via the use of profile likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 918-930, November.
- Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017.
"Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges,"
American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
- Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," Papers 1702.01250, arXiv.org.
- Fitsum Hagos & Gayathri Jayasinghe & Seleshi Bekele Awulachew & Mekonnen Loulseged & Aster Denekew Yilma, 2012. "Agricultural water management and poverty in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 99-111, November.
- Guido W. Imbens, 2004.
"Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review,"
The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
- Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
- Dillon, Andrew, 2011. "The Effect of Irrigation on Poverty Reduction, Asset Accumulation, and Informal Insurance: Evidence from Northern Mali," World Development, Elsevier, vol. 39(12), pages 2165-2175.
- Farrell, Max H., 2015.
"Robust inference on average treatment effects with possibly more covariates than observations,"
Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
- Max H. Farrell, 2013. "Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations," Papers 1309.4686, arXiv.org, revised Feb 2018.
- Andrew Dillon, 2011.
"Do Differences in the Scale of Irrigation Projects Generate Different Impacts on Poverty and Production?,"
Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 474-492, June.
- Dillon, Andrew, 2010. "Do differences in the scale of irrigation projects generate different impacts on poverty and production?," IFPRI discussion papers 1022, International Food Policy Research Institute (IFPRI).
- Gustavo Crespi & Gabriela Dutrénit (ed.), 2014. "Science, Technology and Innovation Policies for Development," Springer Books, Springer, edition 127, number 978-3-319-04108-7, March.
- Danilov, Dmitry & Magnus, J.R.Jan R., 2004. "On the harm that ignoring pretesting can cause," Journal of Econometrics, Elsevier, vol. 122(1), pages 27-46, September.
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.- Mullally, Conner & Chakravarty, Shourish, 2018.
"Are matching funds for smallholder irrigation money well spent?,"
Food Policy, Elsevier, vol. 76(C), pages 70-80.
- Mullally, Conner & Chakravarty, Shourish, 2018. "Are Matching Funds for Smallholder Irrigation Money Well Spent?," SocArXiv x5vmz, Center for Open Science.
- Sant’Anna, Pedro H.C. & Zhao, Jun, 2020.
"Doubly robust difference-in-differences estimators,"
Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
- Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
- Garbero, Alessandra & Songsermsawas, Tisorn, 2016.
"Impact of modern irrigation on household production and welfare outcomes: Evidence from the PASIDP project in Ethiopia,"
2016 Annual Meeting, July 31-August 2, Boston, Massachusetts
235949, Agricultural and Applied Economics Association.
- Garbero, Alessandra & Songsermsawas, Tisorn, 2017. "Impact of modern irrigation on household production and welfare outcomes: Evidence from the PASIDP project in Ethiopia," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258641, Agricultural Economics Society.
- Heiler, Phillip & Kazak, Ekaterina, 2021. "Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores," Journal of Econometrics, Elsevier, vol. 222(2), pages 1083-1108.
- Michael C. Knaus, 2021.
"A double machine learning approach to estimate the effects of musical practice on student’s skills,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 282-300, January.
- Knaus, Michael C., 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," IZA Discussion Papers 11547, Institute of Labor Economics (IZA).
- Michael C. Knaus, 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers 1805.10300, arXiv.org, revised Jan 2019.
- Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2021.
"A unified framework for efficient estimation of general treatment models,"
Quantitative Economics, Econometric Society, vol. 12(3), pages 779-816, July.
- Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2018. "A Unified Framework for Efficient Estimation of General Treatment Models," Papers 1808.04936, arXiv.org, revised Aug 2018.
- Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," CeMMAP working papers CWP64/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ai, C. & Linton, O. & Motegi, K. & Zhang, Z., 2019. "A Unified Framework for Efficient Estimation of General Treatment Models," Cambridge Working Papers in Economics 1934, Faculty of Economics, University of Cambridge.
- Guo, Xu & Li, Runze & Liu, Jingyuan & Zeng, Mudong, 2023. "Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 235(1), pages 166-179.
- Guo, Xu & Li, Runze & Liu, Jingyuan & Zeng, Mudong, 2024. "Reprint: Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic," Journal of Econometrics, Elsevier, vol. 239(2).
- Dong, Chaohua & Gao, Jiti & Linton, Oliver, 2023.
"High dimensional semiparametric moment restriction models,"
Journal of Econometrics, Elsevier, vol. 232(2), pages 320-345.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2017. "High dimensional semiparametric moment restriction models," Monash Econometrics and Business Statistics Working Papers 17/17, Monash University, Department of Econometrics and Business Statistics.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP69/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP04/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," Monash Econometrics and Business Statistics Working Papers 23/18, Monash University, Department of Econometrics and Business Statistics.
- Dong, C. & Gao, J. & Linton, O., 2018. "High Dimensional Semiparametric Moment Restriction Models," Cambridge Working Papers in Economics 1881, Faculty of Economics, University of Cambridge.
- Farrell, Max H., 2015.
"Robust inference on average treatment effects with possibly more covariates than observations,"
Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
- Max H. Farrell, 2013. "Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations," Papers 1309.4686, arXiv.org, revised Feb 2018.
- Vira Semenova, 2020. "Generalized Lee Bounds," Papers 2008.12720, arXiv.org, revised Feb 2023.
- Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021.
"Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence,"
The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
- Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Papers 1810.13237, arXiv.org, revised Dec 2018.
- Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," IZA Discussion Papers 12039, Institute of Labor Economics (IZA).
- Lechner, Michael & Knaus, Michael C. & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," CEPR Discussion Papers 13402, C.E.P.R. Discussion Papers.
- Knaus, Michael C. & Lechner, Michael & anthony.strittmatter@unisg.ch, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Economics Working Paper Series 1817, University of St. Gallen, School of Economics and Political Science.
- D’Amour, Alexander & Ding, Peng & Feller, Avi & Lei, Lihua & Sekhon, Jasjeet, 2021. "Overlap in observational studies with high-dimensional covariates," Journal of Econometrics, Elsevier, vol. 221(2), pages 644-654.
- Graham, Bryan S. & Pinto, Cristine Campos de Xavier, 2022.
"Semiparametrically efficient estimation of the average linear regression function,"
Journal of Econometrics, Elsevier, vol. 226(1), pages 115-138.
- Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," Papers 1810.12511, arXiv.org.
- Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically Efficient Estimation of the Average Linear Regression Function," NBER Working Papers 25234, National Bureau of Economic Research, Inc.
- Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," CeMMAP working papers CWP62/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Mekonnen, Dawit & Abate, Gashaw & Yimam, Seid, 2021.
"Irrigation and Agricultural Transformation in Ethiopia,"
2021 Conference, August 17-31, 2021, Virtual
315339, International Association of Agricultural Economists.
- Mekonnen, Dawit Kelemework & Abate, Gashaw T. & Yimam, Seid, 2022. "Irrigation and agricultural transformation in Ethiopia," IFPRI discussion papers 2159, International Food Policy Research Institute (IFPRI).
- McIntosh, Craig & Zeitlin, Andrew, 2022.
"Using household grants to benchmark the cost effectiveness of a USAID workforce readiness program,"
Journal of Development Economics, Elsevier, vol. 157(C).
- Craig McIntosh & Andrew Zeitlin, 2020. "Using Household Grants to Benchmark the Cost Effectiveness of a USAID Workforce Readiness Program," Papers 2009.01749, arXiv.org.
- Tobias A. Jopp, 2018. "On the economics of forced labour. Did the employment of Prisoners-of-War depress German coal mining productivity in World War I?," Working Papers 0132, European Historical Economics Society (EHES).
- Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2021.
"Deep Neural Networks for Estimation and Inference,"
Econometrica, Econometric Society, vol. 89(1), pages 181-213, January.
- Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2018. "Deep Neural Networks for Estimation and Inference," Papers 1809.09953, arXiv.org, revised Sep 2019.
- Jeffrey D. Michler & Anna Josephson, 2022.
"Recent developments in inference: practicalities for applied economics,"
Chapters, in: A Modern Guide to Food Economics, chapter 11, pages 235-268,
Edward Elgar Publishing.
- Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
- Martin, Stephen & Claxton, Karl & Lomas, James & Longo, Francesco, 2023. "The impact of different types of NHS expenditure on health: Marginal cost per QALY estimates for England for 2016/17," Health Policy, Elsevier, vol. 132(C).
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:osf:socarx:x5vmz_v1. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.