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Machine Learning Methods Economists Should Know About

Machine Learning Methods Economists Should Know About

24 March 2019
Susan Athey
Guido Imbens
ArXivPDFHTML

Papers citing "Machine Learning Methods Economists Should Know About"

19 / 19 papers shown
Title
Moments of Causal Effects
Moments of Causal Effects
Yuta Kawakami
Jin Tian
CML
41
0
0
08 May 2025
Can LLMs Learn Macroeconomic Narratives from Social Media?
Can LLMs Learn Macroeconomic Narratives from Social Media?
Almog Gueta
Amir Feder
Zorik Gekhman
Ariel Goldstein
Roi Reichart
21
4
0
17 Jun 2024
Counterfactual Situation Testing: Uncovering Discrimination under
  Fairness given the Difference
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference
Jose M. Alvarez
Salvatore Ruggieri
14
13
0
23 Feb 2023
The Best Path Algorithm automatic variables selection via High
  Dimensional Graphical Models
The Best Path Algorithm automatic variables selection via High Dimensional Graphical Models
Luigi Riso
M. G. Zoia
C. R. Nava
20
0
0
14 Nov 2022
Fast Inference for Quantile Regression with Tens of Millions of
  Observations
Fast Inference for Quantile Regression with Tens of Millions of Observations
S. Lee
Yuan Liao
M. Seo
Youngki Shin
24
6
0
29 Sep 2022
pystacked: Stacking generalization and machine learning in Stata
pystacked: Stacking generalization and machine learning in Stata
Achim Ahrens
Christian B. Hansen
Mark E. Schaffer
18
7
0
23 Aug 2022
Leakage and the Reproducibility Crisis in ML-based Science
Leakage and the Reproducibility Crisis in ML-based Science
Sayash Kapoor
Arvind Narayanan
25
177
0
14 Jul 2022
Validating Causal Inference Methods
Validating Causal Inference Methods
Harsh Parikh
Carlos Varjao
Louise Xu
E. T. Tchetgen
CML
11
20
0
09 Feb 2022
Cryptocurrency Valuation: An Explainable AI Approach
Cryptocurrency Valuation: An Explainable AI Approach
Yulin Liu
Luyao Zhang
AI4TS
AIFin
32
31
0
30 Jan 2022
Distribution Shift in Airline Customer Behavior during COVID-19
Distribution Shift in Airline Customer Behavior during COVID-19
Abhinav Garg
Naman Shukla
Lavanya Marla
S. Somanchi
OOD
13
7
0
29 Nov 2021
Disaggregated Interventions to Reduce Inequality
Disaggregated Interventions to Reduce Inequality
Lucius E.J. Bynum
Joshua R. Loftus
Julia Stoyanovich
26
13
0
01 Jul 2021
Improving epidemic testing and containment strategies using machine
  learning
Improving epidemic testing and containment strategies using machine learning
Laura Natali
Saga Helgadottir
O. Maragò
Giovanni Volpe
16
6
0
23 Nov 2020
Supervised learning for the prediction of firm dynamics
Supervised learning for the prediction of firm dynamics
Falco J. Bargagli-Stoffi
J. Niederreiter
M. Riccaboni
11
17
0
11 Sep 2020
Investor Emotions and Earnings Announcements
Investor Emotions and Earnings Announcements
Domonkos F. Vamossy
AIFin
13
24
0
24 Jun 2020
Reinforcement Learning in Economics and Finance
Reinforcement Learning in Economics and Finance
Arthur Charpentier
Romuald Elie
Carl Remlinger
OffRL
11
148
0
22 Mar 2020
Priority to unemployed immigrants? A causal machine learning evaluation
  of training in Belgium
Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium
Bart Cockx
Michael Lechner
Joost Boolens
CML
18
108
0
30 Dec 2019
An introduction to flexible methods for policy evaluation
An introduction to flexible methods for policy evaluation
M. Huber
CML
19
7
0
01 Oct 2019
Balancing, Regression, Difference-In-Differences and Synthetic Control
  Methods: A Synthesis
Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis
Nikolay Doudchenko
Guido Imbens
28
410
0
25 Oct 2016
Bayesian Neural Word Embedding
Bayesian Neural Word Embedding
Oren Barkan
BDL
123
87
0
21 Mar 2016
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