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Econometrics with Machine Learning

Overview of attention for book
Cover of 'Econometrics with Machine Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Linear Econometric Models with Machine Learning
  3. Altmetric Badge
    Chapter 2 Nonlinear Econometric Models with Machine Learning
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    Chapter 3 The Use of Machine Learning in Treatment Effect Estimation
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    Chapter 4 Forecasting with Machine Learning Methods
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    Chapter 5 Causal Estimation of Treatment Effects From Observational Health Care Data Using Machine Learning Methods
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    Chapter 6 Econometrics of Networks with Machine Learning
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    Chapter 7 Fairness in Machine Learning and Econometrics
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    Chapter 8 Graphical Models and their Interactions with Machine Learning in the Context of Economics and Finance
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    Chapter 9 Poverty, Inequality and Development Studies with Machine Learning
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    Chapter 10 Machine Learning for Asset Pricing
Attention for Chapter 2: Nonlinear Econometric Models with Machine Learning
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Citations

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2 Mendeley
Summary Dimensions citations
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Chapter title
Nonlinear Econometric Models with Machine Learning
Chapter number 2
Book title
Econometrics with Machine Learning
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-15149-1_2
Book ISBNs
978-3-03-115148-4, 978-3-03-115149-1
Authors

Chan, Felix, Harris, Mark N., Singh, Ranjodh B., Yeo, Wei (Ben) Ern

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%

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