Machine Learning: An Applied Econometric Approach
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...Nevertheless, recent work at the intersection of machine learning and causal inference (Hill, 2011; Jung et al., 2018; Mullainathan and Spiess, 2017) offers hope for gains....
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Cites background from "Machine Learning: An Applied Econom..."
...Mullainathan and Spies [9] surveyed the prediction process in general from an econometric perspective....
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References
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"Machine Learning: An Applied Econom..." refers background in this paper
...This is seen clearly in Zhao and Yu (2006) who establish asymptotic model-selection consistency for the LASSO....
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"Machine Learning: An Applied Econom..." refers background in this paper
...Even when an algorithm can help, we must understand the factors that determine adoption of these tools (Dawes, Faust, and Meehl 1989; Dietvorst, Simmons, and Massey 2015; Yeomans, Shah, Mullainathan, and Kleinberg 2016)....
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