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Kiva is an online non-profit crowdsouring microfinance platform that raises funds for the poor in the third world.
Hossain, M. Credit for Alleviation of Rural Poverty: The Grameen Bank in Bangladesh. International Food Policy Research Institute
1988
Earlier work this paper cites.
Stiglitz, J. E. Peer monitoring and credit markets. World Bank Economic Review
1990
Earlier work this paper cites.
Banerjee, A. V., Besley, T. and Guinnane, T. W. The Neighbor’s Keeper: The Design of a Credit Cooperative with Theory and a Test. Quarterly Journal of Economics
1994
Earlier work this paper cites.
Robins, J. M., Rotnitzky, A., and Zhao, L. P. Estimation of regression coefficients when some regressors are not always observed. Journal of the American Statistical Association
1994
Earlier work this paper cites.
Besley, T. and Coate, S. Group lending, repayment incentives and social collateral. Journal of Development Economics
1995
Earlier work this paper cites.
Islam, M. Peer monitoring in the credit market, Journal of Contemporary Asia
1995
Earlier work this paper cites.
Hochreiter, S. and Schmidhuber, J. Long Short-Term Memory. Neural Computation
1997
Earlier work this paper cites.
Ghatak, M. Group lending, local information and peer selection. Journal of Development Economics
1999
Earlier work this paper cites.
Morduch, J. The Microfinance Promise. Journal of Economic Literature
1999
Earlier work this paper cites.
Robins, J. M. Robust estimation in sequentially ignorable missing data and causal inference models. Proceedings of the American Statistical Association Section on Bayesian Statistical Science
1999
Earlier work this paper cites.
Wydick, B. Can Social Cohesion Be Harnessed to Repair Market Failures? Evidence From Group Lending In Guatemala. The Economic Journal
1999
Earlier work this paper cites.
Paxton, J., Graham, D., and Thraen, C. Modeling Group Loan Repayment Behavior: New Insights from Burkina Faso. Economic Development and Cultural Change
2000
Earlier work this paper cites.
Lunceford, J. K. and Davidian, M. Stratification and weighting via the propensity score in estimation of causal treatment effects: A comparative study. Statistics in Medicine
2004
Earlier work this paper cites.
Van Der Laan, M. J. and Rubin, D. Targeted maximum likelihood learning. The International Journal of Biostatistics
2006
Earlier work this paper cites.
Zhang, J. and Liu, P. Rational herding in mircoloan markets. Management Science
2006
Earlier work this paper cites.
Ahlin, C. and Townsend, R. M. Using Repayment Data to Test Across Models of Joint Liability Lending. The Economic Journal
2007
Cited alongside, same era.
Armendariz, B. and Morduch, J. The Economics of Microfinance. MIT Press
2007
Cited alongside, same era.
Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., and Kuksa, P. Natural Language Processing (Almost) from Scratch. Journal of Machine Learning Research
2011
Cited alongside, same era.
Hill, J. L. Bayesian nonparametric modeling for causal inference. Journal of Computational and Graphical Statistics
2011
Cited alongside, same era.
2013
Cited alongside, same era.
Imbens, G. and Rubin, D. Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. Cambridge University Press
2015
Later among the works it cites.
LeCun, Y., Bengio, Y., and Hinton, G. Deep learning. Nature
2015
Later among the works it cites.
Schmidhuber, J. Deep learning in neural networks: An overview. Neural Networks
2015
Later among the works it cites.
2016
Later among the works it cites.
2016
Later among the works it cites.
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Kang, J. S., Kuznetsova, P., Luca, M., and Choi, Y. Where not to eat? improving public policy by predicting hygiene inspections using online reviews. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
2013
Cited alongside, same era.
Kodongo, O. and Kendi L. G. Individual lending versus group lending: An evaluation with Kenya’s microfinance data, Review of Development Finance
2013
Cited alongside, same era.
Mikolov, T., Sutskever, I., Chen, K., Corrado, G., and Dean, J. Distributed Representations of Words and Phrases and their Compositionality. Advances in Neural Information Processing Systems
2013
Cited alongside, same era.
Mollick, E. The dynamics of crowdfunding: An exploratory study. Journal of Business Venturing, 29(1):1–16, 2013
2013
Cited alongside, same era.
Qiu, C. Issues in crowdfunding: Theoretical and empirical investigation on kickstarter. preprint at SSRN: http://dx.doi.org/10.2139/ssrn.2345872
2013
Cited alongside, same era.
Belloni, A., Chernozhukov, V., and Hansen, C. Inference on treatment effects after selection among high-dimensional controls. The Review of Economic Studies
2014
Cited alongside, same era.
Pennington, J., Socher, R., and Manning, C. D. GloVe: Global Vectors for Word Representation. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)
2014
Cited alongside, same era.
Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., and Ermon, S. Combining satellite imagery and machine learning to predict poverty. Science
2016
Later among the works it cites.
Johansson, F. D., Shalit, U., and Sontag, D. Learning Representations for Counterfactual Inference. In Proceedings of the 33rd International Conference on Machine Learning (ICML-16)
2016
Later among the works it cites.
Naik, N., Raskar, R., and Hidalgo, C. A. Cities are physical too: Using computer vision to measure the quality and impact of urban appearance. The American Economic Review: Papers and Proceedings
2016
Later among the works it cites.
Pham, T. The Supervised Learning Approach To Estimating Heterogeneous Causal Regime Effects. Stanford Graduate School of Business
2016
Later among the works it cites.
2016
Later among the works it cites.
2016
Later among the works it cites.
Athey, S., Imbens, G., Pham, T., and Wager, S. Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges. The American Economic Review
2017
Closest in time.
Hartford, J., Lewis, G., Leyton-Brown, K., and Taddy, M. Counterfactual Prediction with Deep Instrumental Variables Networks. forthcoming, ICML
2017
Closest in time.
Imbens, G. and Pham, T. Average Treatment Effect Estimation in High Dimensional Observational Data: Practical Recommendations. Stanford Graduate School of Business
2017
Closest in time.