Showing 1 - 10 of 21
unstructured product data (text, images, prices, quantities) and output accurate hedonic price estimates and derived indices. To … accomplish this, we generate abstract product attributes, or "features," from text descriptions and images using deep neural … about the product to numeric features using large language models based on transformers, trained or fine-tuned using product …
Persistent link: https://www.econbiz.de/10014261216
We derive general, yet simple, sharp bounds on the size of the omitted variable bias for a broad class of causal parameters that can be identified as linear functionals of the conditional expectation function of the outcome. Such functionals encompass many of the traditional targets of...
Persistent link: https://www.econbiz.de/10012800720
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We propose strategies to estimate and make inference on key features of heterogeneous effects in randomized experiments. These key features include best linear predictors of the effects using machine learning proxies, average effects sorted by impact groups, and average characteristics of most...
Persistent link: https://www.econbiz.de/10011775335
In this paper, we provide efficient estimators and honest confidence bands for a variety of treatment effects including local average (LATE) and local quantile treatment effects (LQTE) in data-rich environments. We can handle very many control variables, endogenous receipt of treatment,...
Persistent link: https://www.econbiz.de/10011441972
Most modern supervised statistical/machine learning (ML) methods are explicitly designed to solve prediction problems very well. Achieving this goal does not imply that these methods automatically deliver good estimators of causal parameters. Examples of such parameters include individual...
Persistent link: https://www.econbiz.de/10011538313
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This paper is about the ability and means to root-n consistently and efficiently estimate linear, mean-square continuous functionals of a high dimensional, approximately sparse regression. Such objects include a wide variety of interesting parameters such as the covariance between two regression...
Persistent link: https://www.econbiz.de/10012595665
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