2013 Methods Lecture, Matthew Gentzkow and Jesse Shapiro, "Applications: Using Text as Data"

REFERENCES

Prediction:
Hastie, Trevor, Robert Tibshirani and Jerome Friedman. 2009. Elements of Statistical Learning: Data Mining, Inference and Prediction. Second Edition.

Text Mining:
Taddy, Matthew. 2013. “Multinomial Inverse Regression for Text Analysis.” Journal of the American Statistical Association, forthcoming.
Blei, David M., and John D. Lafferty. 2007. “A Correlated Topic Model of Science.” The Annals of Applied Statistics 1 (1) (June 1): 17–35.

Treatment Effects:
Alexandre Belloni, Victor Chernozhukov, Christian Hansen, () "Inference for High-Dimensional Sparse Econometric Models", Advances in Economics and Econometrics, 10th World Congress of Econometric Society, 2010
Belloni, Alexandre, Daniel Chen, Victor Chernozhukov and Christian Hansen. 2012. “Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain.” Econometrica 80(6): 2369-2430.
Belloni, Alexandre, Victor Chernozhukov and Christian Hansen. 2013. “Inference on treatment effects after selection amongst high-dimensional controls.” CEMMAP
Leeb, Hannes and Benedikt M. Pötscher. 2008. “Can one estimate the unconditional distribution of post-model-selection estimators?” Econometric Theory 24(2): 338–376.

Code and Data
Gentzkow, Matthew and Jesse Shapiro. 2013. Code and Data for the Social Sciences: A Practitioner’s Guide.

LINKS TO CODE FOR EXAMPLES USED IN LECTURES
Prediction:
Penalized Regression Software

Treatment Effects (MIT)

Supported by the Alfred P. Sloan Foundation grant #2010-10-18