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Machine Learning for Econometrics and Related Topics

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Table of Contents

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    Book Overview
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    Chapter 1 An Invitation to Wasserstein Distance in Financial Risk Measures
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    Chapter 2 What Makes a Good Model?
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    Chapter 3 Quantifying Fairness and Discrimination in Predictive Models
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    Chapter 4 Slow-Growing Trees
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    Chapter 5 Metrics on Probability Distributions Through Optimal Commuting Maps
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    Chapter 6 Using Machine Learning Methods to Estimate the Gender Wage Gap
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    Chapter 7 Forecasting Market Index of Stock Exchange of Thailand, Malaysia, and Singapore with the Gaussian Process Regression Model
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    Chapter 8 The a Priori Procedure (APP) for Estimating Regression Coefficients in Multiple Linear Model with Skew Normal Errors
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    Chapter 9 Why Rectified Linear Unit Is Efficient in Machine Learning: One More Explanation
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    Chapter 10 Why Shapley Value and Its Variants Are Useful in Machine Learning (and in Other Applications)
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    Chapter 11 A Possible Common Mechanism Behind Skew Normal Distributions in Economics and Hydraulic Fracturing-Induced Seismicity
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    Chapter 12 Why Quantile Regression Works Well in Economics: A Partial Explanation
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    Chapter 13 Trade with Heterogeneous Firms, Distance, and Time: An Analysis of Latin American and the Caribbean (LAC) Manufacturing Firms
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    Chapter 14 Analysis and Prediction of Suitable Model for Coconut Production Estimates in South Indian States
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    Chapter 15 Portfolio Management of SET50 Stocks Using Deep Reinforcement Learning Methods
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    Chapter 17 Effects of Household Income and Parental Absence on Investment in Child Education in Thailand: Evidence from Quantile-on-Quantile Approach
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    Chapter 18 The Spatial Spillover Effects of Transportation Infrastructure on Economic Development in China
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    Chapter 19 Analyzing the Survival Probability of Community Enterprise Under the Situation of the COVID-19 Pandemic in Northern Thailand
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    Chapter 20 Bayesian Consideration for Trust in Ewom: Evidence from Vietnam
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    Chapter 21 An Application of Explainable Artificial Intelligence in Credit Scoring
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    Chapter 22 Assessing Strategies for Adaption to Survive the COVID-19 Situation of OTOP Operators in Thailand
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    Chapter 23 The Effects of Oil Shocks on Inflation in Leading Crude Oil Importing Countries: Non-linear Autoregressive Distributed Lag
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    Chapter 24 Contagion Effects Among Selected Asian Stock Markets During the COVID-19 Pandemic: A Dynamic Conditional Correlation Approach
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    Chapter 25 The Nexus of the Nikkei 225, Gold, and Crude Oil. Do They Have a Co-movement in the Long Run? New Evidence for Cointegration from the Autoregressive Distributed Lag Bounds Test
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    Chapter 26 Does Contract Farming Improve Farmers’ Income? The Case of Pineapple Farmers in Nong Khai and Loei, Thailand
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    Chapter 27 Implications of Aging Population and Health Spending for Thai Economic Growth
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    Chapter 28 Portfolio Management Decision Support System Using Cryptocurrencies and Traditional Assets in Indian Context
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    Chapter 29 Environmental, Social, and Governance (ESG) Ratings and Stock Mispricing: A Moderated Mediation Model
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    Chapter 30 The Role of Socio-Demographics and Aging Society on the Change of Agricultural Labor in ASEAN
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    Chapter 31 Prediction of Financial Contagion and Spillover Effects of the US Financial Crisis Using Google Index
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    Chapter 32 The Impact of China-United States Trade War on the Relationship Among the Exchange Rates: The Case of China, Korea, and Japan
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Title
Machine Learning for Econometrics and Related Topics
Published by
Springer Nature Switzerland, November 2023
DOI 10.1007/978-3-031-43601-7
ISBNs
978-3-03-143600-0, 978-3-03-143601-7
Editors

Kreinovich, Vladik, Sriboonchitta, Songsak, Yamaka, Woraphon

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