Causal inference in economics and marketing

Proceedings of the National Academy of Sciences of the United States of America

Volumn 113, Issue 27, 2016, Pages 7310-7315

  Varian, Hal R ^a  

^a GOOGLE INC   (United States)

Author keywords

Causal inference; Economics; Machine learning; Marketing

Indexed keywords

FERTILIZER;

ADVERTISING; ARTICLE; CONFOUNDING VARIABLE; ECONOMICS; EDUCATIONAL STATUS; HARVEST; HEALTH CARE; INCOME; MACHINE LEARNING; MARKETING; MATHEMATICAL ANALYSIS; PREDICTIVE VALUE; PRIORITY JOURNAL;

EID: 84977262751     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1510479113     Document Type: Article

References (24)

1. James G, Witten D, Hastie T, Tibshirani R (2013) An Introduction to Statistical Learning with Applications in R (Springer, New York).
2. Card D (1999) The causal effect of education on earnings. Handbook of Labor Economics, eds Ashenfelter O, Card D (Elsevier, Amsterdam), Vol 3, pp 1801-1863.
3. Box GEP, Hunter JS, Hunter WG (2005) Statistics for Experimenters (Wiley-Interscience, New York).
4. Imbens G, Rubin DL (2015) Causal Inference in Statistics, Social and Biomedical Sciences: An Introduction (Cambridge Univ Press, New York).
5. Angrist JD, Pischke JS (2009) Mostly Harmless Econometrics (Princeton Univ Press, Princeton).
6. Neyman J (1923) On the application of probability theory to agricultural experiments. Stat Sci 5(4):465-472.
7. Rubin D (1974) Estimating causal effects of treatment in randomized and nonrandomized studies. J Educ Psychol 66(5):688-701.
8. Angrist JD, Pischke JS (2014) Mastering 'Metrics: The Path from Cause to Effect (Princeton Univ Press, Princeton).
9. Brodersen KH, Gallusser F, Koehler J, Remy N, Scott SL (2015) Inferring causal impact using Bayesian structural time-series models. Ann Appl Stat 9(1):247-274.
10. Abadie A, Diamond A, Hainmueller J (2010) Synthetic control methods for comparative case studies: Estimating the effect of California's tobacco control program. JAm Stat Assoc 105(490):493-505.
11. Angrist JD, Lavy V (1999) Using Maimonide's rule to estimate the effect of class size on scholastic achievement. Q J Econ 114(2):533-575.
12. Valletti T, Ahfeldt GM, Koutroumpis P (2014) Speed 2.0. Evaluating Access to Universal Digital Highways. Technical Report (Spatial Economics Research Centre, London).
13. Carpenter C, Dobkin C (2011) The minimum legal drinking age and public health. J Econ Perspect 25(2):133-156.
14. Narayanan S, Kalyanam K (2014) Position Effects in Search Advertising: A Regression Discontinuity Approach. Technical Report (Stanford University, Stanford, CA).
15. Bakshy E, Eckles D, Bernstein MS (2014) Designing and deploying online field experiments. Proceedings of the 23rd ACM Conference on the World Wide Web (Association for Computing Machinery, New York), pp 283-292.
16. Sivaraman A, Winstein K, Thaker P, Balakrishnan H (2014) An experimental study of the learnability of congestion control, Proceedings of the 2014 ACM Conference on SIGCOMM (Association for Computing Machinery, New York), Vol 44, Issue 4, pp 479-490.
17. Hartmann WR, Klapper D (2014) Super Bowl Ads. Technical Report (Stanford Graduate School of Business, Stanford, CA).
18. Stephens-Davidowitz S, Varian HR, Smith MD (2014) Super Returns from the Super Bowl? (Google, Inc., Mountain View, CA).
19. Black T, Nosko C, Tadelis S (2015) Consumer heterogeneity and paid search effectiveness: A large scale field experiment. Econometrica 83(1):155-174.
20. Varian HR (2014) Big data: New tricks for econometrics. J Econ Lit 28(2):3-28.
21. Reiss PC, Wolak FA (2007) Structural econometric modeling: Rationales and examples from industrial organization, Handbook of Econometrics (Elsevier, Amsterdam), Vol 6A.
22. Panhans MT, Singleton JD (2015) The Empirical Economists Toolkit: From Models to Methods. Technical Report (Duke University, Durham, NC).
23. Pearl J (2009) Causality (Cambridge Univ Press, Cambridge, UK).
24. Pearl J (2013) Linear Models: A Useful Microscope for Causal Analysis. Technical Report (University of California, Los Angeles).