Causal inference in economics and marketing
This is an elementary introduction to causal inference in economics written for readers familiar with machine learning methods. The critical step in any causal analysis is estimating the counterfactual—a prediction of what would have happened in the absence of the treatment. The powerful techniques...
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| Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 113; no. 27; pp. 7310 - 7315 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
United States
National Academy of Sciences
05.07.2016
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| Subjects | |
| Online Access | Get full text |
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| Abstract | This is an elementary introduction to causal inference in economics written for readers familiar with machine learning methods. The critical step in any causal analysis is estimating the counterfactual—a prediction of what would have happened in the absence of the treatment. The powerful techniques used in machine learning may be useful for developing better estimates of the counterfactual, potentially improving causal inference. |
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| AbstractList | This is an elementary introduction to causal inference in economics written for readers familiar with machine learning methods. The critical step in any causal analysis is estimating the counterfactual—a prediction of what would have happened in the absence of the treatment. The powerful techniques used in machine learning may be useful for developing better estimates of the counterfactual, potentially improving causal inference. |
| Author | Varian, Hal R. |
| Author_xml | – sequence: 1 givenname: Hal R. surname: Varian fullname: Varian, Hal R. organization: Economics Team, Google, Inc., Mountain View, CA 94043 |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27382144$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1162/003355399556061 10.1017/CBO9780511803161 10.1198/jasa.2009.ap08746 10.1214/14-AOAS788 10.1007/978-1-4614-7138-7 10.1515/9781400829828 10.21236/ADA579021 10.1257/jep.25.2.133 10.1037/h0037350 10.1017/CBO9781139025751 10.3982/ECTA12423 |
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| References_xml | – volume: 28 start-page: 3 year: 2014 ident: e_1_3_2_20_2 article-title: Big data: New tricks for econometrics publication-title: J Econ Lit contributor: fullname: Varian HR – ident: e_1_3_2_11_2 doi: 10.1162/003355399556061 – volume-title: Super Bowl Ads. Technical Report year: 2014 ident: e_1_3_2_17_2 contributor: fullname: Hartmann WR – ident: e_1_3_2_23_2 doi: 10.1017/CBO9780511803161 – start-page: 1801 volume-title: Handbook of Labor Economics year: 1999 ident: e_1_3_2_2_2 contributor: fullname: Card D – volume: 5 start-page: 465 year: 1923 ident: e_1_3_2_6_2 article-title: On the application of probability theory to agricultural experiments publication-title: Stat Sci contributor: fullname: Neyman J – ident: e_1_3_2_10_2 doi: 10.1198/jasa.2009.ap08746 – volume-title: Super Returns from the Super Bowl? year: 2014 ident: e_1_3_2_18_2 contributor: fullname: Stephens-Davidowitz S – ident: e_1_3_2_9_2 doi: 10.1214/14-AOAS788 – start-page: 479 volume-title: An experimental study of the learnability of congestion control, Proceedings of the 2014 ACM Conference on SIGCOMM year: 2014 ident: e_1_3_2_16_2 contributor: fullname: Sivaraman A – ident: e_1_3_2_1_2 doi: 10.1007/978-1-4614-7138-7 – ident: e_1_3_2_5_2 doi: 10.1515/9781400829828 – ident: e_1_3_2_24_2 doi: 10.21236/ADA579021 – volume-title: Position Effects in Search Advertising: A Regression Discontinuity Approach. Technical Report year: 2014 ident: e_1_3_2_14_2 contributor: fullname: Narayanan S – start-page: 283 volume-title: Designing and deploying online field experiments. Proceedings of the 23rd ACM Conference on the World Wide Web year: 2014 ident: e_1_3_2_15_2 contributor: fullname: Bakshy E – ident: e_1_3_2_13_2 doi: 10.1257/jep.25.2.133 – ident: e_1_3_2_7_2 doi: 10.1037/h0037350 – volume-title: Mastering ’Metrics: The Path from Cause to Effect year: 2014 ident: e_1_3_2_8_2 contributor: fullname: Angrist JD – volume-title: The Empirical Economists Toolkit: From Models to Methods. Technical Report year: 2015 ident: e_1_3_2_22_2 contributor: fullname: Panhans MT – volume-title: Statistics for Experimenters year: 2005 ident: e_1_3_2_3_2 contributor: fullname: Box GEP – ident: e_1_3_2_4_2 doi: 10.1017/CBO9781139025751 – ident: e_1_3_2_19_2 doi: 10.3982/ECTA12423 – volume-title: Speed 2.0. Evaluating Access to Universal Digital Highways. Technical Report year: 2014 ident: e_1_3_2_12_2 contributor: fullname: Valletti T – volume-title: Handbook of Econometrics year: 2007 ident: e_1_3_2_21_2 contributor: fullname: Reiss PC |
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| Title | Causal inference in economics and marketing |
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