References
- Adato, M., B. De la Briere, D. Mindek, and A. Quisumbing. 2000. The Impact of PROGRESA on Women’s Status and Intrahousehold Relations. Washington, D.C.: International Food Policy Research Institute.
- Almås, I., A. Armand., O. Attanasio, and P. Carneiro. 2018. “Measuring and Changing Control: Women’s Empowerment and Targeted Transfers.” Economic Journal. doi:10.1111/ecoj.12517.
- Arribas-Del, D., J. Patino, and J. Duque. 2017. “Remote Sensing-Based Measurement of Living Environment Deprivation: Improving Classical Approaches with Machine Learning.” PLoS ONE. doi:10.1371/journal.pone.0176684.
- Athey, S. 2018. “The Impact of Machine Learning on Economics.” In Economics of Artificial Intelligence. Chicago: University of Chicago Press.
- Athey, S., and G. Imbens. 2015. “A Measure of Robustness to Misspecification.” American Economic Review 105 (5): 476–480. doi:10.1257/aer.p20151020.
- Athey, S., and G. Imbens (2016). “Recursive Partitioning for Heterogeneous Causal Effects.” Proceedings of the National Academy of Sciences, 113(27): 7353–7360.
- Athey, S., and S. Wager. 2017. “Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests.” Journal of the American Statistical Association.
- Attanasio, O., and K. M. Kaufmann (2009). “Educational Choices, Subjective Expectations and Credit Constraints.” NBER Working Paper No, 15087.
- Attanasio, O., and V. Lechene. 2002. “Tests of Income Pooling in Household Decisions.” Review of economic dynamics 5: 720–748. doi:10.1006/redy.2002.0191.
- Attanasio, O., and V. Lechene. 2014. “Efficient Responses to Targeted Cash Transfers.” Journal of Political Economy 122: 178–222. doi:10.1086/674968.
- Attanasio, O., C. Meghir, E. Nix, and F. Salvati. 2017. “Human Capital Growth and Poverty: Evidence from Ethiopia and Peru.” Review of Economic Dynamics 25: 234–259. doi:10.1016/j.red.2017.02.002.
- Belloni, A., D. Chen, V. Chernozhukov, and C. Hansen. 2012. “Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain.” Econometrica 80 (6, November): 2369–2429. doi:10.3982/ECTA9626.
- Belloni, A., V. Chernozhukov, and C. Hansen. 2014. “High-Dimensional Methods and Inference on Structural and Treatment Effects.” Journal of Economic Perspectives 28 (2): 29–50. doi:10.1257/jep.28.2.29.
- Bloniarz, A., H. Liu, C.-H. Zhang, J. S. Sekhon, and B. Yu (2016). “Lasso Adjustments of Treatment Effect Estimates in Randomized Experiments.” Proceedings of the National Academy of Sciences 113(27): 7383–7390.
- Blumenstock, J., G. Cadamuro, and R. On. 2015. “Predicting Poverty and Wealth from Mobile Phone Metadata.” Science 350 (6264): 1073–1076. doi:10.1126/science.aac4420.
- Bradley, R. H., and B. Caldwell. 1977. “Home Observation for Measurement of the Environment: A Validation Study of Screening Efficiency.” American Journal of Mental Defficiency 81 (5): 417–420.
- Breiman, L. 2001. “Statistical Modeling: The Two Cultures.” Statistical Science 16 (3): 199–231. doi:10.1214/ss/1009213726.
- Browning, M., and P. Chiappori. 1998. “Efficient Intra-Household Allocations: A General Characterisation and Empirical Tests.” Econometrica 66: 1241. doi:10.2307/2999616.
- Carneiro, P., S. Lee, and D. Wilhelm (2017). “Optimal Data Collection for Randomised Control Trials.” cemmap Working Paper, CWP45/17.
- Chen, X., and W. D. Nordhaus. 2011. “Using Luminosity Data as a Proxy Fro Economic Statistics.” Proceedings of the National Academy of the Sciences 108 (21, May): 8589–8594. doi:10.1073/pnas.1017031108.
- Cunha, F., I. Elo, and J. Culhane (2013). “Eliciting Maternal Expectations about the Technology of Cognitive Skill.” NBER Working Paper No 19144.
- Dadds, M. R., and M. R. Sanders. 2012. Behavioural Observation Coding System: FOS-V. Queensland. Australia: Griffith University.
- Dallay, E. G., and A. Guedeney. 2016. “Parent-Infant Interaction Assessment.” In Joint Care of Parents and Infants in Perinatal Psychiatry, eds A.-L. Sutter-Dallay, N.-C. Glangeaud-Freudenthal, A. Guedeney, and A. Riecher-Rossler, 93–108. Cham: Springer.
- Davis, J. M., and S. Heller. 2017. “Using Causal Forests to Predict Treatment Heterogeneity: An Application to Summer Jobs.” American Economic Review: Papers & Proceedings 107: 546–550. doi:10.1257/aer.p20171000.
- Dominitz, J., and C. F. Manski. 1997. “Using Expectations Data to Study Subjective Income Expectations.” Journal of the American Statistical Association 92 (439): 855–867. doi:10.1080/01621459.1997.10474041.
- Donaldson, D., and A. Storeygard. 2016. “The View from Above: Applications of Satellite Data in Economics.” Journal of Economic Perspectives 30 (4): 171–198. doi:10.1257/jep.30.4.171.
- Doss, C. 2006. “The Effects of Intrahousehold Property Ownership on Expenditure Patterns in Ghana.” Journal of African economies 15: 149–180. doi:10.1093/jae/eji025.
- Dreibelbis, R., M. C. Freeman, L. E. Greene, S. Saboori, and R. Rheingans. 2014. “The Impact of School Water, Sanitation and Hygiene Interventions on the Health of Younger Siblings of Pupils: A Cluster Randomized Trial in Kenya.” American Journal of Public Health 104: 91–97. doi:10.2105/AJPH.2013.301412.
- Duflo, E. 2004. “The Medium Run Effects of Educational Expansion: Evidence from a Large School Construction Program in Indonesia.” Journal of Development Economics 74 (1): 163–197. doi:10.1016/j.jdeveco.2003.12.008.
- Duflo, E., R. Glennerster, and M. Kremer. 2008. “Using Randomization in Development Economics Research: A Toolkit.” In Handbook of Development Economics, edited by T. Schultz and J. Strauss,4 vols, 3895-3962. Amsterdam and New York: North Holland.
- Farrel, M. 2015. “Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations.” Journal of Econometrics 189: 1–23. doi:10.1016/j.jeconom.2015.06.017.
- Filmer, D., and L. Pritchett. 2001. “Estimating Wealth Effects without Expenditure Data-Or Tears: An Application to Educational Enrollments in States of India.” Demography 38 (1): 115–132.
- Fishman, R. 2016. “More Uneven Distributions Overturn Benefits of Higher Precipitation for Crop Yields.” Environmental Research Letters 11: 1–7. doi:10.1088/1748-9326/11/2/024004.
- Fiszbein, A., and N. R. Schady. 2009. Conditional Cash Transfers: Reducing Present and Future Poverty. Washington, D.C.: World Bank Publications.
- Heckman, J. J., and S. Mosso. 2014. “The Economics of Human Development and Social Mobility.” Annual Review of Economics 6: 689–733. doi:10.1146/annurev-economics-080213-040753.
- Henderson, J., A. Storeygard, and D. N. Weil. 2012. “Measuring Economic Growth from Outer Space.” American Economic Review 102 (2): 994–1028. doi:10.1257/aer.102.2.994.
- Hoddinott, J., and L. Haddad. 1995. “Does Female Income Share Influence Household Expenditures? Evidence from Côte d’Ivoire.” Oxford Bulletin of Economics and Statistics 57: 77–96. doi:10.1111/obes.1995.57.issue-1.
- Hsiang, S. 2016. “Climate Econometrics.” Annual Review of Resource Economics 8: 43–75. doi:10.1146/annurev-resource-100815-095343.
- James, G., D. Witten, T. Hastie, and R. Tibshirani. 2013. An Introduction to Statistical Learning with Applications in R. New York: Springer.
- Jean, N., M. Burke, M. Xie, M. Davis, D. B. Lobell, and S. Ermon. 2016. “Combining Satellite Imagery and Machine Learning to Predict Poverty.” Science 353 (6301): 790–794. doi:10.1126/science.aaf7894.
- Kirchberger, M. 2017. “Natural Disasters and Labor Markets.” Journal of Development Economics 125: 40–45. doi:10.1016/j.jdeveco.2016.11.002.
- Kolenikov, S., and G. Angeles. 2009. “Socioeconomic Status Measurement with Discrete Proxy Variables: Is Principal Component Analysis a Reliable Answer?” Review of Income and Wealth 55: 128–165. doi:10.1111/roiw.2009.55.issue-1.
- Kraay, A., and P. Murrell (2013). “Misunderestimating Corruption.” World Bank Policy Research Working Paper Series.
- Lareau, A. 2003. Unequal Childhoods: Class, Race and Family Life. Los Angeles: University of California Press.
- Ludwig, J., S. Mullainathan, and J. Spiess (2017). “Machine Learning Tests for Effects on Multiple Outcomes.” Working Paper.
- Lundberg, S. J., R. A. Pollack, and T. J. Wales. 1997. “Do Husbands and Wives Pool Their Resources? Evidence from the United Kingdom Child Benefit.” The Journal of Human Resources 32: 463–480. doi:10.2307/146179.
- Lyall, J., G. Blair, and K. Imai. 2013. “Explaining Support for Combatants during Wartime: A Survey Experiment in Afghanistan.” American Political Science Review 107: 679–705. doi:10.1017/S0003055413000403.
- Manski, C. F. 2004. “Measuring Expectations.” Econometrica 72 (5): 1329–1376. doi:10.1111/ecta.2004.72.issue-5.
- McConnell, B., and M. Vera-Hernandez (2015). “Going beyond Simple Sample Size Calculations: A Practitioner’s Guide.” IFS Working Papers, W15/17.
- McKenzie, D. 2012. “Beyond Baseline and Follow-Up: The Case for More T in Experiments.” Journal of Development Economics 99 (2): 210–221. doi:10.1016/j.jdeveco.2012.01.002.
- McKenzie, D., and M. Siegel. 2013. “Eliciting Illegal Migration Rates through List Randomisation.” Migration Studies 1: 276–291. doi:10.1093/migration/mnt018.
- Miguel, E., S. Satyanath, and E. Sergenti. 2004. “Economic Shocks and Civil Conflict: An Instrumental Variables Approach.” Journal of Political Economy 112 (4): 725–753. doi:10.1086/421174.
- Peterson Zwane, A., J. Zinman, E. Van Dusen, W. Pariente, C. Null, E. Miguel, … A. Banerjee. 2011. “Being Surveyed Can Change Later Behaviour and Related Parameter Estimates.” Proceedings of the National Academy of Sciences 108 (5): 1821–1826. doi:10.1073/pnas.1000776108.
- Romano, J., and M. Wolf. 2005. “Stepwise Multiple Testing as Formalized Data Snooping.” Econometrica 73: 1237–1282. doi:10.1111/ecta.2005.73.issue-4.
- Saavedra, S., and M. Romero. 2017. Local Incentives and National Tax Evasion: The Response of Illegal Mining to Tax Reform in Colombia.
- Schlenker, W., and M. J. Roberts. 2006. “Nonlinear Effects of Weather on Corn Yields.” Review of Agricultural Economics 28 (3): 391–398. doi:10.1111/j.1467-9353.2006.00304.x.
- Thomas, D. 1990. “Intra-Household Resource Allocation: An Inferential Approach.” Journal of human resources 25: 635. doi:10.2307/145670.
- Ward-Batts, J. 2008. “Out of the Wallet and into the Purse: Using Micro Data to Test Income Pooling.” The Journal of Human Resources 43 (2): 328–351.